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1 SCHOOL OF ELECTRONICS ENGINEERING (SENSE) B.TECH (ELECTRONICS & COMMUNICATION)

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SCHOOL OF ELECTRONICS ENGINEERING

(SENSE)

B.TECH (ELECTRONICS & COMMUNICATION)

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SCHOOL OF ELECTRONICS ENGINEERING (SENSE)

B.TECH ELECTRONICS AND COMMUNICATION CURRICULUM

Discipline

Basic Science and Mathematics

General Education

Engineering

Total

The terms LTPC in syllabus means:

Basic Science and Mathematics

Course Code

CHY101

CHY104

PHY101

PHY102

MAT201

2

SCHOOL OF ELECTRONICS ENGINEERING (SENSE)

B.TECH ELECTRONICS AND COMMUNICATION CURRICULUM

Discipline CREDIT %

Basic Science and Mathematics 33 18.1

General Education 20 11.0

129 70.9

182 100

The terms LTPC in syllabus means: L – Lecture T- Tutorial

P – Lab Practicals C – Credit Hours

Course Code Course Title

Engineering Chemistry

Environmental Studies

Modern Physics

Materials Science

Complex Variables and Partial Differential Equations

SCHOOL OF ELECTRONICS ENGINEERING (SENSE)

B.TECH ELECTRONICS AND COMMUNICATION CURRICULUM

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MAT105 Difference and Differential Equations

MAT101 Multivariate Calculus and Differential Equations

ECE201 Probability Theory and Random Process

ECE208 Engineering Electromagnetics

General Education

Course Code Course Title

ENG101 English for Engineers I

ENG102 English for Engineers II

FRE101/ GER101 /JAP101/ESP101

Foreign Language

HUM121 Ethics and Values

Management course – I

Management course – II

Management course – III

Engineering

Course Code Course Title

MEE101 Engineering Graphics

MEE102 Workshop Practice

MAT105 Differential and Difference Equations

MAT201 Complex Variables and Partial Differential Equations

ECE102 Fundamentals of Electrical Engineering

ECE101 Electron Device and Circuits

CSE101 Computer Programming and Problem Solving

CSE102 Data Structures and Algorithms

EEE108 Network Theory

ECE206 Signals and Systems

ECE207 Analog Electronics circuits

ECE204 Analog Circuit Design

ECE203 Modulation Techniques

ECE103 Digital Logic Design

ECE202 Transmission lines and fields

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EEE226 Control Systems

ECE303 Digital Signal Processing

ECE304 Microcontroller and Application

ECE306 Antennas and wave propagation

ECE305 Digital Communication

ECE307 Information theory and coding

ECE308 Computer Communication

ECE401 Optical Communication and Networks

ECE402 Microwave Engineering

ECE301 VLSI System Design

ECE403 Wireless and Mobile Communication

ECE 399 In-plant Training

ECE498 Comprehensive Viva

ECE499 Project Work

Elective courses (Six to be selected)

Course Code Course Title

ECE205 Electrical and Electronic Measurements

ECE302 Computer Organization and Architecture

ECE404 Digital Image Processing

ECE309 Bio Medical Instrumentation and Analysis

ECE405 Satellite Communication

ECE406 Embedded System Design

ECE209 Introduction to Nanoscience and Nanotechnology

ECE407 Neural Networks and Fuzzy Control

ECE310 Digital System Design

ECE410 Wireless Sensor Networks

ECE408 Advanced Microcontrollers (ARM, DSP)

EEE202 Opto Electronics

MAT205 Applied Numerical Methods

ECE411 Radar and Navigational Aids

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SCHOOL OF ELECTRONICS ENGINEERING (SENSE)

B.TECH. ELECTRONICS AND

Basic Science and Mathematics

Course Code

CHY101 Engineering Chemistry

CHY104 Environmental Studies

PHY101 Modern Physics

PHY102 Materials Science

MAT201 Complex Variables and Partial Differential Equations

MAT105 Difference and Differential Equations

MAT101 Multivariate Calculus and Differential Equations

ECE201 Probability Theory and Random Process

ECE208 Engineering Electromagnetic

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SCHOOL OF ELECTRONICS ENGINEERING (SENSE)

B.TECH. ELECTRONICS AND COMMUNICATION ENGINEERING

Course Title

Engineering Chemistry

Environmental Studies

Variables and Partial Differential Equations

Difference and Differential Equations

Multivariate Calculus and Differential Equations

Probability Theory and Random Process

Engineering Electromagnetic

COMMUNICATION ENGINEERING

Credits

4

3

4

4

4

4

4

3

3

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Course Code: CHY 101 ENGINEERING CHEMISTRY

L 3

T 0

P 2

C 4

Course Prerequisites

Basic Chemistry of 12th standard or equivalent.

Objectives: To impart technological aspects of modern chemistry

- To lay foundation for application of chemistry

Expected Outcome:

Students will be familiar with the fundamentals of water technology, corrosion and its control, Applications of polymers in domestic and engineering areas, types of fuels and their applications, recent trends in electrochemical energy storage devices.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and

interpret data e) an ability to identify, formulate, and solve engineering problems

Unit I Water Technology

Hardness of water Hard and soft water, Units of Hardness (numerical problems). Disadvantages of Hard water Scale and sludge, Caustic embrittlement, Priming and foaming, corrosion Estimation of Hardness EDTA, Alkali titration method (numerical problems). Softening methods Lime soda (numerical problems), Zeolite Desalination of sea water, brakish water - electrodialysis, reverse osmosis, Ion exchange, mixed bed deionizer, Treatment of Municipal water –Desalination of brakish water – electrodialysis, reverse osmosis

Unit II Corrosion & corrosion control

Corrosion Types – dry and wet corrosion, causes of corrosion – Forms of corrosion (Differential aeration, pitting Galvanic (Galvanic series)), Factors influencing corrosion, Corrosion control Protective coatings – Electroplating, Galvanizing, Tinning, Metal cladding – Definition, process and applications, Physical and Chemical vapour deposition.

Unit III Industrial Polymers

Classification of polymers Thermoplastics, thermosetting plastics - Industrial Preparation, properties and applications of PVC, Teflon, Nylon – 6.6, Bakelite and urea formaldehyde. Methods of degradation of polymers. Moulding of plastics into articles: Compression, Injection, transfer and extrusion methods – Conducting polymers : Mechanism of conduction using poly acetylene as example : Type of Conducting polymers (intrinsic and extrinsic ) with examples

Unit IV Fuels and Combustion

Fuels Classification of fuels – solid, liquid and gaseous fuels: Calorific value – Definition of LCV, HCV, Characteristic of a good fuel. measurement of calorific

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value using bomb calorimeter (numerical problems). Proximate and ultimate analysis of coal - Combustion Combustion - Calculation of air quantities for complete combusion of fuel (problems )Liquid Fuels cracking of curde oil, Knocking & anti-knocking for petrol and diesel (octane number & cetane number). Biofuels: Biodiesel - sources and applications.

Unit V Electrochemical Energy systems

Electrochemical energy systems Basic concepts ectrolytic and electrochmical energy systems Conventional Primary batteries Dry cell; Advanced Primary batteries - Lithium and alkaline primary batteries Conventional secondary batteries Lead-acid, Nickel-Cadmium secondary batteries Advanced secondary batteries Nickel-Metal hydride and Lithium-ion secondary batteries Fuel cells – Hydrogen-oxygen fuel cells– Solid oxide fuel cells.

Text Books 1. S. S. Dara, “A Text book of Engineering Chemistry” S. Chand & Co Ltd., New

Delhi,20th Revised Edition, 2013

Reference Books

1. B.R. Puri and L.R. Sharma, “Principles of Physical Chemistry’, Vishal Publishing Co., 45/e, 2012.

2. Kuriacose J. C & Rajaram J, “Chemistry in Engineering & Technology”, Vol. 1, TMH, 2010.

3. David Linden, “Hand Book of batteries”, Mcgraw Hill Publishers, Edition No.3, 2002.

4. P.C. Jain and M. Jain, “Engineering Chemistry”, Dhanpat Rai Publishing Co., New Delhi, 15/e, 2008.

Evaluation Continuous Assessment (30 %) and Assignments / Projects/ Quizzes (20%) Term - End Examination (50%)

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List of Experiments:

Volumetric Analysis 1. Estimation of total, permanent and temporary hardness of water by EDTA method. 2. Estimation of Copper (II) in ground water by EDTA method. 3. Estimation of alkalinity of water sample. 4. Estimation of Iron (II) in waste water by dichrometry. Instrumental Method of Analysis 1. Estimation of ferrous ion by potentiometric titration (redox titration). 2. Measurement of single electrode potential of various metals by potentiometry. 3. Estimation of Chemical Oxygen Demand (COD) of sewage water. 4. Determination of strength of strong acid and weak acid present in a mixture by conductometry. 5. Acid-base titration by pH metry 6. Preparation of Nylon 6,6

Evaluation Continuous Assessment (50%)

Term End Exam (50%)

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CHY104 ENVIRONMENTAL STUDIES

L 3

T 0

P 0

C 3

Course Prerequisites

None

Objectives:

1. To make students understand and appreciate the unity of life in all its forms, the implications of life style on the environment.

2. To broaden the understanding of global climate changes and the importance of renewable sources of energy.

3. To give students a basic understanding of the major causes of environmental degradation on the planet, with specific reference to Indian situation

4. To inspire students to find ways in which they can contribute personally and professionally to prevent and rectify environmental problems.

Expected Outcome:

Students will be able to

1. Understand the need for eco-balance. 2. Acquire basic knowledge about global climate change with a particular

reference to the Indian context. 3. Find ways to protect the environment and play pro-active roles.

This course meets the following student outcomes

a)an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context j) a knowledge of contemporary issues

Unit I Environment and Natural Resources

Definition, scope, importance; need for public awareness on natural resources – Air, Water and Land. Forest resources – use, exploitation, causes and consequences of deforestation. Water resources – use of surface and subsurface water; effect of floods, drought, water conflicts. Land resources – Land degradation, landslides, soil erosion and desertification. Energy resources – renewable and non-renewable sources. Indian Case studies for all the resources.

Unit II Ecosystem and Bio-diversity

Concept of ecosystem - Structure and function of an ecosystem, producers, consumers and decomposers, Food chains, food webs. Energy flow - ecological pyramids and ecological succession. Bio diversity: Definition,

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levels of biodiversity - genetic biodiversity – GM Crops. Species and ecosystem diversity – values of biodiversity. Bio-geographical classification of India, hotspots, threats to biodiversity - Conservation of bio-diversity

Unit III Environmental changes and remediation

Definition and Causes. Pollution effects and control measures of air, noise, water and soil. Thermal and nuclear hazards. Solid waste management: causes, effects and control measures of urban and industrial wastes. Case studies - Disaster management: Floods, earthquakes, cyclones, tsunami, tornados and landslides. Global climate change and greenhouse effect – Kyoto Protocol, carbon credits, carbon sequestration, clean development mechanisms. Ozone depletion problem – Montreal Protocol. Acid rain.

Unit IV Social Issues and the Environment

Urban problems related to energy and sustainable development - Water conservation, rain water harvesting, watershed management, problems related to rehabilitation – case studies – Wasteland reclamation – Consumerism and waste products - Environment Protection Act, Air, Water, Wildlife, Forest Conservation Acts, Environmental legislation and public awareness.

Unit V Human Population and the Environment

Population growth, variation among nations, population explosion,– Family Welfare Programme, environment and human health - Human rights and laws pertaining to environment, value education, HIV/AIDS, women and child welfare - Role of information technology - Case studies.

Text Books 1. G. Tyler Miller Jr. and Scott Spoolman (2011), Environmental Science, 13th Edition, Brooks/Cole.

Reference Books

Anubha Kaushik and C.P. Kaushik (2010), Environmental Science and Engineering, 3rd Edition, New Age International.

Keerthinarayana and Daniel Yesudian (2008), Environmental Science and Engineering, 1st Edition, Hi-Tech Publications.

Erach Bharucha (2005), Text Book of Environmental Studies, Universities Press (India) Pvt. Ltd.

G.M. Masters (2005), Introduction to Environmental Engineering and Science, Pearson Education Pvt Ltd.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Course Code: PHY101 MODERN PHYSICS

L 3

T 0

P 2

C 4

Course Prerequisites

Physics as one subject in 12th Standard or equivalent level.

Objectives:

To enable the students to understand the basics of the latest advancements in Physics, viz., Quantum Mechanics, Lasers, Fiber Optics, Ultrasonics, Microwaves and Nanotechnology

Expected Outcome:

At the end of the course, students will acquire the necessary knowledge about modern physics and its applications in various engineering and technology disciplines. This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

e) an ability to identify, formulate, and solve engineering problems

Unit I Quantum Physics

Black body radiation – Limitations of Classical theory - Basic idea of quantization- Planck’s radiation formula - Compton effect, experimental verification- Dual nature of electromagnetic radiation- de Broglie waves -Davison-Germar Experiment – Heisenberg uncertainty principle – Wave function and its properties -Schrödinger equation (time independent and dependent ) – particle in a 1D box-Eigen values and eigen function- Quantum mechanical tunneling (derivation) - Scanning tunneling microscope – Quantum confinement: Introduction to Nanomaterials – Moore’sLaw – properties of nanomaterials – Quantum well – Wire – Dot – carbon nanotube; Applications of nanotechnology in sensors

Unit II Laser Physics

Laser characteristics- Spatial and temporal coherence – Laser Principle - Einstein’s coefficients - significance - population inversion – two level, three level, four level systems – laser threshold condition – Components of laser – modes (transverse and longitudinal) - He-Ne - CO2 laser – Nd:YAG – Excimer laser – dye laser- Applications of lasers- Compact disc- writing and reading – Blue ray discs- Holography – recording and reconstruction .

Unit III Electromagnetic Wave Propagation

Maxwell`s equations (Qualitative) - Wave equation (derivation) - EM waves - Phase velocity - Group velocity - Group index- wave guide theory- rectangular wave guide (TE and TM modes). Light propagation through fibers (TEM mode) –Acceptance angle - numerical aperture – types of fibers – step index, graded index – single mode, multimode – attenuation – dispersion– intermodal - intramodal – application of fiber optics in communication – LED – Laser

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diode – Detector – pn – pin photodiode – endoscope

Text Books

1. Modern Physics, Raymond A. Serway, Clement J. Mosses, Curt A. Moyer, Cengage learning (3rd Indian Edition 2010).

2. Laser Systems and Applications, Nityanand Choudhary and Richa Verma, PHI Learning Private Limited 2011.

3. Introduction to Fiber Optics, Ajoy Ghatak and K. Thyagarajan, Cambridge University Press (2011)

4. Microwave devices and circuits-third edition-Samuel Y.Liao – Pearson Education-New Delhi (2012)

Reference Books

1. Concepts of Modern Physics, Arthur Beiser, Tata McGraw Hill, 2009

2. Modern Physics for Scientists and Engineers, John R. Taylor, Chris D. Zafiratos and Michael A. Dubson, PHI Learning Private Limited 2011.

3. Modern Physics, Kenneth Krane, Wiley, Indian Edition, 2010.

4. Modern Physics, Stephen T. Thornton and Andrew Rex, Cengage learning, First Indian Reprint 2008

5. The essentials understanding nanoscience and nanotechnology, J. Pradeep, Tata McGraw-Hill Publishing Company Ltd., 2007.

6. Solid State Physics (New Revised Sixth Edition), S. O. Pillai, New Age International Publishers, 2012.

7. Lasers: Principles and Applications by J. Wilson and J. F. B. Hawkes, Prentice Hall.

8. Lasers and Optical Instrumentation, S. Nagabhushana and B. Sathyanarayana, I. K. International Publishing House Pvt. Ltd., 2010.

9. Principles of Electromagnetics, Matthew N. O. Sadiku, Fourth Edition, Oxford, 2011.

10. Fiber Optic Communications Technology, Djafar K. Mynbaev and Lowell L. Scheiner, Pearson 2011.

Evaluation Continuous Assessment (30 %) and Assignments / Projects/ Quizzes (20%) Term - End Examination (50%)

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List of Experiments:

1) Determination of the length of a glass plate using Traveling Microscope 2) Determination of angle of direct ray using Spectrometer 3) Determination of Planck Constant: LED method 4) Determination of de Broglie wavelength : electron diffraction 5) Determination of particles size by laser diffraction method 6) Laser Grating – Determination of wavelength of given laser light 7) Determination of track width in CD: Laser diffraction 8) Determination of Numerical Aperture and Acceptance Angle of Optical Fiber 9) Determination of angle of prism using Spectrometer 10) Spectrometer – Determination of Refractive index of a Glass Prism 11) Determination of Refractive Index of Liquid

Evaluation

Continuous Assessment (50%)

Term End Exam (50%)

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PHY102 MATERIALS SCIENCE 3 0 2 4

Course Prerequisites

PHY101

Objectives To enable the students to understand the nature of different types of materials namely Dielectrics, Magnetic, Semi conducting, Conducting and superconducting materials.

Expected Outcome

This course will be the base to understand the various concepts involved in the applications of materials in Engineering and Technology

a)an ability to apply knowledge of mathematics, science, and engineering

b)an ability to design and conduct experiments, as well as to analyze and interpret data

Unit No. Unit Title

Unit 1 Conducting Materials

Drude – Lorentz Classical free electron theory of metals – electrical conductivity – thermal conductivity – Wiedemann – Franz law – drawbacks of classical theory, Band theory of solids – Quantum theory and its success; relaxation time – drift velocity – Matthiessen’s rule – Problems

Unit 2 Semiconducting Materials

Introduction – P and N type – direct and indirect semiconductor, Band theory of semiconductors, Density of energy state, Variation of Fermi level with respect to temperature and carrier concentration in intrinsic and extrinsic semiconductors, Hall effect – theory – experimental proof; Problems.

Unit 3 Magnetic and Superconducting Materials

Magnetic parameters and their relations; Origin of magnetization – orbital magnetic moment – spin magnetic moment – Bohr magneton; Properties of dia, para. Ferro, antiferro and ferri magnetic materials; Domain theory of ferromagnetism – Hysteresis – soft and hard magnetic materials, Application – Hard disk – Superconductors – types – properties – BCS theory – applications; Problems.

Unit 4 Dielectric Materials

Polarization and dielectric constant; dielectric susceptibility, electric field inside a dielectric – macroscopic and microscope electric field – Clausius – Mosotti relation; Polarization mechanisms – electronic, ionic and orientation; Temperature dependence of dielectric constant – Frequency dependence of dielectric constant; Dielectric loss – dielectric breakdown – types; dielectric materials as electrical insulators – examples; Problems

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Unit 5 Optical Properties of Materials

Light waves in a homogenous medium; Refractive index – Dispersion – Group Velocity and Group Index; Magnetic field; Irradiance and pointing vector; Quantum theory of optical properties – Absorption – inter and intra band transition; Absorption spectra of materials; Luminescence – colour centres; Problems.

Text Books 1. C.M. Srivastava and Srinivasan, “Science of Engineering Materials”, Tata McGraw Hill Publications, 2003

Reference Books

1. Pillai S O, “Solid State Physics”, revised sixth edition, New Age International (P) Ltd, 2007

2. S.O. Kasap, “Principles of Electronic Materials and devices”, Second Edition, Tata McGraw-Hill Publishing company Ltd, 2002

3. Van Vlack L, “Materials Science for Engineers”, Addison Wesley, 1995

4. Raghavan V, “Materials Science and Engineering”, Prentice – Hall of India, New Delhi, 1998

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

MATERIALS SCIENCE

List of Experiments

i. Thermal Conductivity of a Bad Conductor – by Lee’s Disc Method ii. Dielectric study – dielectric behavior of a ferroelectric ceramic material at iii. various temperature and determine the curie temperature iv. Hall Effect – Determine the Hall coefficient of a given Germanium v. (Semiconductor) crystal

vi. Solar Cell – Draw I-V characteristic of a solar cell and determine the maximum vii. power generated from solar cell, fill factor and efficiency. viii. Magnetic Susceptibility – by Quinke’s Method ix. Band Gap – using four probe method x. Schering bridge: To find unknown capacitance and reactance of the circuit

xi. B-H curve xii. Lande g-factor

Evaluation: Continuous Assessment – 50 % & Term End Examination – 50%

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Course Code: MAT101

MULTIVARIATE CALCULUS AND DIFFERENTIAL EQUATIONS

L 3

T 1

P 0

C 4

Course Prerequisites

10+2 level Mathematics/ Basic Mathematics(MAT001)

Objectives:

This Mathematics course provides requisite and relevant background necessary to understand the other important engineering mathematics courses offered for Engineers and Scientists. Three important topics of applied mathematics, namely the Multiple integrals, Vector Calculus, Laplace transforms which require knowledge of integration are introduced.

Expected Outcome:

By the end of the course the students are expected to learn

(i) how to evaluate multiple integrals in Cartesian, Cylindrical and Spherical geometries.

(ii) the powerful language of Vector calculus with physical understanding to deal with subjects such as Fluid Dynamics and Electromagnetic fields.

(iii) to solve ordinary differential equations directly and also use transform methods where its possible

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

i) a recognition of the need for, and an ability to engage in life-long learning

Unit I Multivariable Calculus

Functions of two variables-limits and continuity-partial derivatives –total differential–Taylor’s expansion for two variables–maxima and minima–constrained maxima and minima-Lagrange’s multiplier method- Jacobians

Unit II Multiple Integrals

Evaluation of double integrals–change of order of integration– change of variables between cartesian and polar co-ordinates- evaluation of triple integrals-change of variables between cartesian and cylindrical and spherical polar co-ordinates-beta and gamma functions–interrelation-evaluation of multiple integrals using gamma and beta functions-error function-properties

Unit III Vector Calculus

Scalar and vector valued functions - gradient–physical interpretation-total derivative–directional derivative-divergence and curl –physical interpretations-vector identities(without proof) - scalar and vector potentials-line, surface and volume integrals-Green’s , Stoke’s and Gauss divergence theorems (without proof)-verification and evaluation of vector integrals using them

Unit IV Ordinary Differential Equations

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Linear higher order ordinary differential equation with constant coefficients– solutions of homogenous and non homogenous odes- method of undetermined coefficients –method of variation of parameters – equations reducible to linear equations with constant coefficients

Unit V Laplace Transforms

Definition-Laplace transforms of functions-properties of Laplace transforms-initial and final values theorems-inverse transforms-transforms of periodic functions-convolution theorems–step functions, impulse functions-concept of transfer functions –applications to the solution of differential equations

Text Books 1. Erwin Kreyszig, Advanced Engineering Mathematics, 10th Edition., John

Wiley & Sons, (Wiley student Edison) (2013).

Reference Books

1. B. S. Grewal, Higher Engineering Mathematics, 42nd Edition. Khanna Publications,(2013).

2. G.B.Thomas and R.L.Finney, Calculus and analytical geometry, 11th Edition, Pearson Education, (2006).

3. Peter V. O’ Neil, Advanced Engineering Mathematics, 5th Edition, Thomson, Book/Cole. (2007).

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Course Code: MAT 105

DIFFERENCE AND DIFFERENTIAL EQUATIONS

L T P C

3 1 0 4

Course Prerequisites

MAT101

Objectives This course is designed to give a comprehensive coverage at an introductory level to the subject of ordinary differential equations and difference equations. Matrix methods and eigenvalue problems are integrated in to the course. Sufficient emphasis is laid on mathematical modeling and analysis of simple engineering problems.

Expected Outcome

By the end of the course, the students are expected to know how to model simple physical problems in the form of a differential and difference equations, analyze and interpret the solutions. Further the students are expected to acquire necessary background in matrix methods and eigenvalue problems so as to appreciate their importance to engineering systems. This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

i) a knowledge of contemporary issues

Unit I Matrix methods to Linear Differential Equat ions 9 + 3 hours

The eigen value problem- eigen values and eigen vectors - properties of eigen values and eigen vectors-Cayley-Hamilton theorem and its applications- symmetric matrices -similarity of matrices - diagonalisation of a real symmetric matrix-quadratic form.

Solution of equations of type X11

+ AX=0 - reduction of nth order system to a system of first order equations by diagonalization.

Unit II Power Series Solutions 9 + 3 hours

The Strum-Liouville Problem-orthogonality of eigen functions- Bessel’s and Legendre’s equations- power series solutions – method of Frobenius.

Unit III Fourier Series 9 + 3 hours

Fourier series -Euler’s formulae- Dirichlet’s conditions - change of interval- half range series – RMS value – Parseval’s identity – computation of harmonics.

Unit IV Difference Equations and Z-transforms 9 + 3 hours

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Difference equation-first and second order difference equations with constant coefficients-Fibonacci sequence-solution of difference equations-complementary functions - particular integrals by the method of undetermined coefficients.

Z-transform-relation to Laplace transforms - Z-transforms of standard functions-inverse Z-transforms by partial fraction method-by convolution- solution of simple difference equations using Z-transforms.

Unit V Applications of Differential Equations 9 + 3 Hours

. First order equations: Newton’s law of cooling – radioactive decay, L-R and C-R circuits-Equation of motion for a particle in gravitational field – Terminal velocity

Second order equations: Free un-damped and damped vibrations, Forced oscillations-Resonance phenomenon, series LCR circuit - Model of a vibrating systems with two masses – Solutions by matrix methods.

Text Books 1. Erwin Kreysizing, ‘Advanced Engineering Mathematics’, 10th

Edition, John Wiley & Sons, (Wiley student Edison) (2013).

Reference Books

1. B.S.Grewal, ‘Higher Engineering Mathematics’, 42nd Edition, Khanna

Publications (2013).

2. Michale D. Greenberg, ‘Advanced Engineering Mathematics’, Pearson Education, (2011).

3. Peter V. O’ Neil, ‘Advanced Engineering Mathematics’,Thomson, Book/Cole (2007).

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Course Code: MAT 201

COMPLEX VARIABLES AND PARTIAL DIFFERENTIAL EQUATIONS

L T P C 3 1 0 4

Course Prerequisites

MAT105

Objectives The aim of this course is to present a comprehensive, compact and integrated treatment of two most important branches of applied mathematics for engineers and scientists namely

(i) the functions of complex variable and

(ii) Partial differential equations in finite and infinite domains.

Expected Outcome

By the end of the course, the students are expected to develop the necessary mathematical skills, physical understanding of problems and intuition to independently analyze the mathematical equations which model the problems in their respective fields of study.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

i) a knowledge of contemporary issues

Unit I Functions of a Complex Variable 9+3 hours

Limits and continuity- Cauchy – Riemann equations- analytic and harmonic functions – complex potential – applications to flow around a corner and

around a cylinder, multivalued functions(logz, z )- branch points- branch cuts, linear transformations- bilinear transformation-cross-ratio- conformal mappings(w=z2, w=ez)– qualitative discussion on applications (regions bounded by straight lines).

Unit II Complex Integration 9+3 hours

Integration of a complex plane along a contour - Cauchy-Goursat theorem- Cauchy’s integral formula – Taylor and Laurent series- zeros- singularities – poles- residues- Cauchy’s residue theorem – evaluation of integrals by the method of residues- statement of Jordan’s lemma - indented contour integral.

Unit III Partial Differential Equations 9+3 Hours

Introduction – formation of PDEs – solution of PDE – general, particular, and complete singular integrals – Lagrange’s linear equations – linear PDE of higher order with constant coefficients – homogeneous and non homogeneous equations – solution of PDE’s by the method of separation of variables.

Unit IV Applications of Partial Differential Equations 9+3 Hours

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Classification of PDEs- solution of Laplaces equations in cartesian, cylindrical and spherical coordinates – variable separable method: potential flow over a sphere.

Wave equation-vibrations of a stretched string- D’Alembert’s solution for the initial value problem, vibrations of a circular membrane diffusion equation in cartesian and cylindrical coordinates.

Unit V Fourier Transforms 9+3 hours

Complex Fourier series – Fourier integral theorem- Fourier transform pairs – Fourier sine and cosine transform pairs – simple problems-properties of Fourier transforms – Convolution theorem for Fourier transforms – Parseval’s identity for Fourier transforms -application of Fourier transforms to partial differential equations: (i) Heat flow in an infinite bar (ii) Wave propagation on a semi infinite string (iii) Steady state heat flow in a semi-infinite domain.

Text Books 1. B.S.Grewal, ‘Higher Engineering Mathematics’, 42nd Edition. Khanna

Publications(2013).

Reference Books

1. Erwin Kreysizing, ‘Advanced Engineering Mathematics’, 10th

Edition, John Wiley & Sons, (Wiley student Edison)(2013).

2. MichaelD. Greenberg, ‘Advanced Engineering Mathematics’,PearsonEducation (2011).

3. Peter V. O’ Neil, ‘Advanced Engineering Mathematics’, Thomson, Book/Cole (2007).

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE201 PROBABILITY THEORY AND RANDOM PROCESSES

3 0 0 3

Prerequisite ECE206 Signals and Systems

Objectives To discuss the concepts of discrete and continuous random variables and to calculate the parameters such as mean and variance.

To apply vector space concepts in random signal processing.

To classify various types of probability distributions that occurs frequently in communication and signal processing.

To associate the concept of strong law of large numbers and the role of Central limit theorem in the convergence of the random variables.

To illustrate the concept of random process in WSS and SSS with the importance of Ergodicity and its real time applications.

To estimate the power spectral density for a given random signal.

Expected Outcome

1. Obtain probability law (distribution) for a set of output random variables.

2. Identify a specific distribution to be used for a particular random data. 3. Interpret the concept of convergences in random signals from different

applications. 4. Describe the random signals in terms of its average properties such as

average power in the random signal and its spectral distribution. 5. Model and analyze the effect of noise in electronic circuits used in

communication systems. This course meets the following student outcomes

a)an ability to apply knowledge of mathematics, science, and engineering e)an ability to identify, formulate, and solve engineering problems i)a recognition of the need for, and an ability to engage in research and to involve in lifelong learning k)an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Probability & Random variables

Introduction to Probability-Joint and Conditional Probability-Independent Events-Combined Experiments-Bernouli`s Trial-Random Variables-concepts-Distribution and Density Function-Conditional Distribution and Density function

Unit II Special distributions

Expectations-Moments (variance)- Uniform Distribution, Gaussian Distribution, Binomial Distribution and Poisson distributions

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Unit III Operations on Random Variable

Operations on One Random Variable- MGF-Chernoff`s Inequality & Bounds-Multiple Random Variables-Vector Random Variables-Joint distribution and its Properties-Joint Density and its Properties- Central limit theorem- Operation on two random variables –expected value of a function of random -2D Gaussian distribution

Unit IV Random process

Random process- realizations, sample paths, discrete and continuous time processes. Probabilistic structure of a random process; mean, autocorrelation and autocovariance functions Stationarity- strict-sense stationary (SSS) and wide-sense stationary (WSS) processes. Autocorrelation function of a real WSS process and its properties, cross-correlation function . Ergodicity and its importance. Spectral representation of a real WSS process- power spectral density, properties of power spectral density. Cross-power spectral density and properties. autocorrelation function and power spectral density of a WSS random sequence

Unit V Special Random Processess

Linear time-invariant system with a WSS process as an input- stationarity of the output, auto-correlation and power-spectral density of the output; examples with white-noise as input- Modeling of noise sources-Resistive Noise Sources-Effective Noise Temperature-Power Gain-Average Noise figures-Average Noise Temperatures-Model of Example System-Markov Process.

Text Books

• Scott L Miller; Donald G Childers, Elektronikingenieur.;, "Probability and random processes : with applications to signal processing and communications" Waltham, MA : Academic Press, 2012.

• P.Z. Peebles, Probability, Random Variables and Random Signal Principles, 4th edition, Mc-Graw Hill, 2002

Reference Books

1. Papoulis and S.U. Pillai, Probability, Random Variables and Stochastic Processes, 4th Edition, McGraw-Hill, 2009

2. Sophoncles J. Orfanidis,“Optimum Signal processing”, McGraw Hill, New York 2007 3. John G. Proakis & Dimitris G. Manolakis “Digital Signal Processing”, Pearson Education

(Indian adopted version), 1/e, 2011 4. Seymour Lipschutz, “Theory and problems of probability”, Schaums outline series, Mc

Graw Hill,1987. 5. Hwei Hsu, “Probability, Random variables, Random processes”, Schaums outline series,

McGraw Hill, 2011. 6. Monson H.Hayes, “Statistical digital signal processing and modelling”,John Wiley and

sons,2002.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ECE208 ENGINEERING ELECTROMAGNETICS 3 0 0 3

Objectives Analyze the electric field intensity due to point, line, surface, volume charges

Define potential, gradient and solve capacitance problems

Relate the magnetic field intensity and current, force and torque and the Maxwell’s equations in point form and integral form.

Develop the Boundary conditions between two different medium in electric and magnetic field

Understand the uniform plane wave propagation from the time varying electric and magnetic fields

Expected Outcome

1. Derive the electric flux density from the Gauss’s law and define potential and potential gradient

2. Describe the current and current density from ohm’s law 3. Solve the capacitance problem using Poisson’s equations and Laplace’s

equations and the boundary conditions from two different media of different dielectrics.

4. Solve the different problems on forces and torques on a closed circuit. 5. Explain the time varying electric and magnetic fields and plane wave

propagation

This course meets the following student outcomes

a)an ability to apply knowledge of mathematics, science, and engineering

e)an ability to identify, formulate, and solve engineering problems

i)a recognition of the need for, and an ability to engage in research and to involve in lifelong learning

Unit I Vector Calculus

Cartesian, cylindrical, and spherical coordinate systems – Divergence, gradient, curl, and Laplacian – Divergence and Stokes' theorems.

Unit II Electrostatics

Coulomb's Law, electric field intensity – Field due to continuous line, sheet, and volume charges – Electric flux density – Gauss Law & it's applications – Energy expended in moving a charge in an electric field, potential & potential gradient – Energy density in an electrostatic field (qualitative study)

Current and Current Density – Properties & boundary conditions of metallic conductors, and method of images – Properties & boundary conditions of semiconductors and dielectrics – Poisson's & Laplace’s equations – Uniqueness Theorem.

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Unit III Magnetostatics

Biot-Savart’s law, magnetic field intensity – Ampere’s circuital law – Magnetic flux and flux density – Magnetic scalar and vector potentials – Force on a moving charge (Lorentz force), force on a differential current element, and force between differential current elements (Ampere force law) – Boundary conditions – Potential energy and forces on magnetic materials – Inductance and mutual inductance.

Unit IV Maxwell’s Equations & Time-Varying Electromagnetic Fields

Faraday’s law – Displacement current – Maxwell’s equations in point and integral forms.

Plane waves in free space, perfect & lossy dielectrics, and good conductors – Power and Poynting vector – Reflection of a plane wave at normal incidence (both conducting and dielectric boundaries) – Wave polarization: linear, elliptic, and circular polarizations.

Text Books

Mathew O Sadiku, “Elements of Electromagnetics”, Oxford University press, 6/e, New York, 2011

William Hayt and John Buck “Engineering Electromagnetics”,7/e, Tata McGraw Hill, New Delhi,2012.

Reference Books

1. Jordan & Balmain “Electromagnetic wave Radiating Systems”, Prentice Hall of India.2002 2. D K Cheng, “Field and wave Electromagnetics”,2/e, Addison Wesley, 2004.. o John D Kraus, “Electromagnetics”, McGraw Hill, NewYork, 2003.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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GENERAL EDUCATION

COURSE SYLLABI

Course Code Course Title Credits

ENG101 English for Engineers I 3

ENG102 English for Engineers II 3

FRE101/ GER101 /JAP101

Foreign Language 2

HUM101 Psychology and Sociology 3

HUM121 Ethics and Values 3

Management course - I

Management course – II

Management course - III

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Course Code: ENG101

ENGLISH FOR ENGINEERS – I

L 2

T 0

P 2

C 3

Course Prerequisites

Clearing the English Proficiency Test

Objectives:

Students

• Can use the English language effectively with proper grammar and vocabulary to suit the needs of the present world.

• Can differentiate various forms of writing according to the situation and tone.

• Can be aware of ‘cross cultural communication’

Expected Outcome:

The learners will be efficienct in English language with the development of the four skills of communication – LSRW. This course meets the following student outcomes

d) an ability to function on multidisciplinary teams

f) an understanding of professional and ethical responsibility

g) n ability to communicate effectively

i) a recognition of the need for, and an ability to engage in life-long learning

Unit I

• Nature and process of communication Types of communication • Time, tense and tense consistency • E-mail Etiquette, • Writing effective sentences – sentence coherence, length, avoiding ambiguity

and thematic emphasis

Unit II

• Use of voice (Impersonal passive) • Writing formal letters (Call for quotations, Placing orders) • Types of communication: Intra-personal, Interpersonal, Group-verbal and non-

verbal communication Unit III

• Indian English • Describing a process • Writing Definitions • Letter Writing-Letter of Complaint and Apology • Concord

Unit IV

• Cross-cultural Communication • Conditionals • Paragraph writing –Coherence- Jumbled Sentences

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• Paragraph: Definition. Identifying the Topic Sentence. Order (Examples, reasoning, cause & effect, compare & contrast)

• Managing Paragraphs (Using Connectors)

Unit V

• Reading Skills - Scanning , Skimming , Intensive Reading , Word meaning and Recognition

• Cloze Test • Use of prepositions

Reference Books

1.Rizvi,M.Ashraf, Effective Technical Communication, Tata McGraw – Hill, 2006

2.Ibbotson,Mark, Cambridge English for Engineering, Cambridge University Press, 2008

3. Richard Johnson-Sheehan, Technical Communication Today Second Edition

4. Sherron Kenton & Deborah Valentine, Cross Talk: Communicating in a Multicultural Work place, Prentice Hall (Sep 1996)

5. Laura M English, Sarah Lynn Business Across Cultures: Effective Communication Strategies, Addison Wesley Longman Publication

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %, Term End Examination – 50 %

Syllabus for Lab

Evaluation: Continuous Assessment – 50 % & Term End Examination – 50%

Unit No. 1 4 hrs • Listening to casual conversations • Speaking: Introducing oneself, Strengths and Weaknesses

Unit No. 2 4 hrs • Speaking: Asking for Information, Interrupting and disagreeing • Speaking: Telephoning Skills (Through Role-plays)

Unit No. 3 5 hrs • Speaking: Adzap` • Speaking: Taking Roles in an Event

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Course Code: ENG102

ENGLISH FOR ENGINEERS – II

L 2

T 0

P 2

C 3

Course Prerequisites

ENG101

Objectives:

Students :

• Can write and prepare the necessary technical documents. • Can face interview with confidence. • Will be a better performer professionally.

Expected Outcome:

• Tune up writing skills and prepare technical documents without errors.

• Enhance the students with strong writing and presentation skills. This course meets the following student outcomes

d) an ability to function on multidisciplinary teams

f) an understanding of professional and ethical responsibility

g) n ability to communicate effectively

i) a recognition of the need for, and an ability to engage in life-long learning

Unit I

Profiling readers – Context of Use

Revising and editing - Error detection (grammatical and vocabulary)

Drafts of Abstract and Executive Summary

Unit II

Revising and editing –Proof reading symbols

Writing Instructions

Writing Memos.

Unit III

Preparing Questionnaires

Writing Statements of Purpose – Definitions, format and Sample

Technical - Report writing

Unit IV

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Technical- Writing a Proposal

Graphic information/ Transcoding (Use of graphs, tables, charts)

Meeting – Agenda, Minutes

Unit V

Resume (Archival and Functional)

Writing effective Applications (Emphasizing Education and Emphasizing Work Experience)

Thank You Letter and apology letters (after interviews or refusing a job offer)

Reference Books

1. Technical Communication Today –Richard Johnson and Sheehan. 2011

2. Porter, Patricia A., and Margaret Grant. Communicating Effectively in English: Oral Communication for Non-Native Speakers. 2nd ed. Belmont, CA: Wadsworth, 1992. ISBN: 9780534172688.

3. Alley, Michael. The Craft of Scientific Presentations: Critical Steps to Succeed and Critical Errors to Avoid. New York, NY: Springer, 2007. ISBN: 9780387955551.

4. Writing Resumes-Kilmet, Stephen. "The Resume," and "The Computerized Resume." In Writing for Design Professionals. New York, NY: W.W. Norton, 2006, pp. 127-129. ISBN: 0393731855.

5. Writing Cover Letters-Kilmet, Stephen. "Cover Letter," and "Enclosures and Attachments." In Writing for Design Professionals. New York, NY: W.W. Norton, 2006, pp. 128-129. ISBN: 0393731855.

6. Writing a Proposal "Standard Proposal for Funding." in Writing in the Disciplines. Fort Worth, TX: Harcourt Brace College Publisher, 1995. ISBN: 0155025384.

7. http://www.job-interview.net/ 8. http://www.interviewmastery.com/

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Syllabus for Lab

Evaluation: Continuous Assessment – 50 % & Term End Examination – 50%

Unit No. 1 3 hrs Group Discussions - Process, Skills, Guidelines, Evaluation

Unit No. 2 3 hrs Oral Presentation Skills – Planning, Preparing, Organizing, Presenting

Unit No. 3 3 hrs Starting A Career –Making Goals And Setting Plans

Unit No. 4 3 hrs Interviews – Identifying Career Options, Preparing For An Interview , Facing An Interview

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ESP101 BASIC SPANISH 2 0 0 2 Prerequisite NIL Objectives: The course aims to introduce students to the Spanish Language and Hispanic

speaking countries cultures. The program will give cultural awareness and prepare the students to give basic information about themselves.

Expected Outcome:

Be able to understand cultural differences between Spanish speaking countries and India. To be able to communicate verbally and by writing several aspects of day by day life and personal information. In addition students will be able to understand an essential of vocabulary that will allow them to grasp some contexts and to start opening their listening skills to the foreign language. This course meets the following student outcomes

d) an ability to function on multidisciplinary teams g) n ability to communicate effectively

Unit I Meeting People Alphabet, greetings and personal information; origin, nationality, job, subjects studied, age. Grammar : Indefinite articles, personal pronouns. Introduction to verbs (ser, tener).

Unit II The Family at Home Vocabulary of your family and your house. How to describe places and things. Colors. Numbers 1- 100. Grammar : Possessive pronouns. Definite articles. Adjectives. Infinitives, -AR verbs, Ser. Unit III Daily Routine Describing daily routines telling the time and the days of the week. Grammar : Present tense regular -ER & -IR verbs. Reflexive verbs / pronouns. Unit IV In your spare time Evening and weekend activities. Giving opinions. Food and drinks; in the restaurant. Grammar : Present continuous. Root changing verbs, direct object (le) Unit V In the city Saying what there is in your city and describing where something is. Giving directions. Grammar: uses of Estar, prepositions, the Imperative. Text Books “Foundations Spanish 1: Level 1”, Cathy Holden, Palgrave Macmillan; 2nd Edition edition (25 Jun 2008) References “¡Acción Gramática!”, Phil Turk and Mike Zollo, Hodder Murray, 2006. “Practice makes perfect: Spanish Vocabulary”, Dorothy Richmond, McGraw Hill Contemporary, 2007. “Practice makes perfect: Basic Spanish”, Dorothy Richmond, McGraw Hill Contemporary, 2009. “Pasaporte A1 Foundation”, Matilde Cerrolaza Aragón, Óscar Cerrolaza Gili, Begoña Llovet Barquero, Edelsa Grupo Didascalia, 2007.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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Course Code: GER101 BASIC GERMAN

L 2

T 0

P 0

C 2

Prerequisite NIL Objectives: The course aims at basic written and oral skills (comprehension and

expression) in German which will enable the students to have higher education and job opportunities in India and abroad. As a whole, it will bring an idea about the German culture and society.

Expected Outcome:

The learners will get the required training in the above mentioned language skills which will enable them to practice it in day to day life, in higher education and in career too.

This course meets the following student outcomes (d) an ability to function on multidisciplinary teams (g) an ability to communicate effectively

Unit I Lektion I Personalpronomen, Konjugation von Verben: heiβen, lernen, kommen,arbeiten, wohnen, machen.

Unit II Lektion II Possessivpronomen, Verb- Sein, Singular, Plural, Wortbildung, Ja/ Nein Frage und Fragewoerter, Tempus-Praesens, Dialoge, Imperativ. Unit III Lektion III Bestimmter und Unbestimmter Artikel, Verb- Haben, Negation- Nicht, Kein, Zahlen, Partikeln, Maskulin, Feminin und Neutrum. Kasus – Nominativ und Akkusativ, Dialoge, Unit IV Lektion IV Die Zeit, Starke Verben, Praepositionen Fragewoerter (Zeitangabe), Das Essen und Leben in Deutschland, Landkarte und Geschichte von Deutschland. Unit V Lektion V Trennbare Verben, Modal Verben, Dialoge mit Kontext: Bahnhof, Universitaet, Flughafen usw, Technische Woerter. Text Books Hieber Wolfgang, Lernziel Deutsch.München: 2005 References 1. Gick, Cornelia, Momentmal, Grundstufenlehrwerk Deutsch als Fremdsprache.M: 2003 2. Maria Dallapiazza, Eduard von Jan, Til Schonherr.Tangram, Deutsch als

Fremdsprache.Berlin: 2005 3. Griesbach, Schulz. Deutsche Sprachlehre für Ausländer. München: 2005

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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Course Code: JAP 101 BASIC JAPANESE

L 2

T0

P0

C2

Prerequisite NIL

Objectives: NIL

Expected Outcome:

The learners will get the required training in the above mentioned language skills which will enable them to practice it in day to day life, in higher education and in career too.

This course meets the following student outcomes

(d) an ability to function on multidisciplinary teams

(g) an ability to communicate effectively

Unit I 1. Introduction to Japanese Alphabets 2. Vowels and Consonants 3. Hiragana, Katakana 4. Pronunciation 5. Writing practice 6. Japanese Numerals 7. Demonstrative pronoun

Kore, Sore, Are and Dore (This, That, Over there, which)

Kono, sono, Ano and Dono (this, that, over there, which)

Kochira, Sochira, Achira and Dochiora (this way....)

Koko, Soko, Asoko and Doko (Here, There….location)

8. Greetings 9. Classification of verbs (be verb desu (Present tense)

10. Part of body (look and learn) 11. Particle -Wa Unit II

1. Basic structure of sentence (Subject+ Object+ Verb) 2. Classification of verbs a) Be verb desu Present and Present negative Past and Past negative

b) Aru and Iru for living things and non living things

c) Masu form (Present and Present negative)

3. Particle- Ka, Ni, Ga, 4. Conjunction-Ya 5. Grammar- ~ Go, ~Jin, San

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6. Days/ Months /Year/Week (Current, Previous, Next, Next to Next) 7. Nation, People and Language 8. Classification of Adjectives I and Na 9. Vocabulary and its Meaning 10. Audio tape listening

11. Class tests

Unit III 1. Classification of Particle ( Ga, Ka, Wa, O, E, Ni, De, No, Kara, Made )

2. Classification of Adjectives I and Na

3. Classification of verbs Go dan verb, Ichdan vers and Irregular verbs

(Present, Present negative and past negative)

4. Classification of question words ( Doko, Dore, Dono, Dochira)

5. Time expressions (Jikan)

6. Number of hours

7. Vocabulary and its Meaning

8. Number of months, calendar of a month

9. Audio tape listening

10. Class tests

Unit IV

1. Classification of Question words (Dare, Nani, , Itsu, Doyatte, Doo, To, Ne, Yo, Ikutsu, Ikura)

2. Classification of Te forms 3. At the departmental store 4. At the Railway /Bus station 5. Polite form of verbs 6. At the hospital (Byoki) 7. Vocabulary and its Meaning 8. Audio tape listening

9. Class tests

Unit V

1. Words of degree (Gurai and Kurai) 2. Adverb (Mazu,Sore kara,Saigo ni ) 3. Name of the things you carry (look and learn) 4. Relation ship of family (look and learn) 5. Visit a office and University

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6. Set phrase – Onegaishimasu – Sumimasen 7. Positions and Direction 8. Vocabulary and its Meaning 9. Audio tape listening 10. Revision 11. Test

Text Books 1. Nihongo no KISO-1

2. Randan house Japanese-English-Japanese dictionary

3. Ootsubo et al, A course in Modern Japanese, Vol. 1, 1983, The University of Nagoya Press, Japan.

4. Shiyo Suzuki and Ikuo kawase, Nihongo Shoho text book with Audiotapes, 1981, The Japan Foundation, Tokyo, Japan.

5. Yan-san Serial, Video tapes, Japan.

6. Ooesto et a, A course in Modern Japanese, Vol. II, 1983, The University of Nagoya Press, Japan.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Course Code: CHI101 BASIC CHINESE

L2

T0

P0

C2

Prerequisite NIL Objectives: 1. The course aims at the development of the basic skills for reading,

writing (in Pin Yin) and communiating in Chinese . 2. This will enhance the opportunity to have a good job and higher education abroad.

Expected Outcome:

1. At the end of the semester the students will be able to Communicate in Chinese language. 2. They will be able to survive in China and meet their daily needs.

This course meets the following student outcomes (d) an ability to function on multidisciplinary teams (g) an ability to communicate effectively

Unit I Hen gao xing ren shi ni (Nice to see you) Wen Hou (greeting) lie shao (introduction), Chinese Name, Hanyu Pinyin (Chinese Phonetics), Shngmu, Yunmu, Shengdiao

Unit II Gen Zhong guo peng you shou hua (Talking with a Chinese student) Shushu (numbers) Dadianhua (calling a Chinese friend) Gen Zhongguo xuesheng shuohua (Talking with a Chinese student) Hanyu pinyin depinxie (Pinyin in syllabus) Unit III Nin xiang chi dian shen me (What do you want to eat) Qu fan dian (at the restaurant). Zhao zuower. Chi sheme (Food) Hesheme (Drinking). Renminbi (Chinese Currency) Unit IV Wa yao qu lii xing (I am going to play) Qu luxing (travel) Dingpiao. Ding fangjian (booking ticket and room) Qu binguan, zai binguan (at hotel) Unit V Mai yi fu (I would like to buy my clothes) Mai yifu (buying clothers). Mai kuzi, mai shangyi Text Books 1. “Real Life practice of Elementary Chinese Dialogues for beginners” Chen Lian. Peking University Press 2014 References 1. Hanyu Jiaocheng. book Yang Jizhou. Beijing Language and Culture University Press 2. Kuaile Hanyu book LLi Xizpqi, people Education press 3. Kuaile Hanyu card of words and Expressing. Beijing Language and Culture University

press 4. Fazhang Hanyu (Elementary) book Rong Jihua Beijing Language and Culture University

Press

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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Course Code: HUM121 ETHICS AND VALUES

L 3

T 0

P 0

C 3

Course Prerequisites NIL

Objectives:

To understand the moral problems faced in the corporate setting and wider philosophical frameworks along with social importance and their intellectual challenges are given its due placement.

Expected Outcome:

The students will have hands-on experience with the day-to-day problems and their allied alternative decision making towards social and business environment.

This course meets the following student outcomes

f) an understanding of professional and ethical responsibility g) an ability to communicate effectively

i) a recognition of the need for, and an ability to engage in research and to involve in life- long learning

j) a knowledge of contemporary issues

Unit I Being good and responsible

Gandhian values such as truth and non-violence – comparative analysis on leaders of past and present – society’s interests versus self interests – Prevention of harassment, violence and terrorism - Personal Social Responsibility: Helping the needy, charity and serving the society

Unit II Corruption

Corruption: ethical values, causes, impact, laws, prevention – electoral malpractices –

white collar crimes - tax evasions – unfair trade practices.

Unit III Addiction and Health

Peer pressure-Alcoholism:ethical values,causes,impact,laws,prevention-ill effects of smoking-Prevention of suicides-Sexual Health:Prevention and impact of pre-marital pregnancy and Sexually Trasmitted Diseases.

Unit IV Drug Abuse

Abuse of different types of legal and illegal drugs: ethical values, causes, impact, laws

and prevention

Unit V Personal and Professional Ethics

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Dishonesty - Stealing - Malpractices in Examinations - Plagiarism – Abuse of

technologies: Hacking and other Cyber Crimes, addiction to mobile phone usage, video games and social networking websites

Text Books Christine E. Gudorf, James Edward Huchingson, ‘Boundaries: A Casebook in Environmental Ethics’, Georgetown University Press, 2010

Reference Books

1. Mike W Martin & Ronald Schnizinger, “Ethics in Engineering”, 4th Edition, Tata McGraw Hill, 2004

2. OC Ferrell, John Paul Frederich,Linda Ferrell, “ Business Ethics – Ethical Decision making and Cases”, Edition, Biz Tantra, 2007

3. L.H. Newton & Catherine K.D., “Classic cases in Environmental Ethics”, Belmont: California Wadsworth, 2006

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

Syllabus for Lab:

List of Experiments: (For each credit, it is possible to conduct 12-14 experiments) 1. Street Play 2. Street Play 3. Role Play 4. Role Play 5. Debate 6. Group Discussion 7. Poster Presentation 8. Short Film Presentation 9. Short Film Presentation 10. Whistle Blowing 11. Project Presentation 12. Project Presentation Evaluation: Presentations (50 %) and Viva Voce (50%)

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ENGINEERING

COURSE SYLLABI

Course Code Course Title Credits

MEE101 Engineering Graphics 2

MEE102 Workshop Practice 1

PHY102 Material Science 4

MAT105 Differential and Difference Equations 4

MAT201 Complex Variables and Partial Differential Equations 4

ECE102 Fundamentals of Electrical Engineering 4

ECE101 Electron Device and Circuits 4

CSE101 Computer Programming and Problem Solving 3

CSE102 Data Structures and Algorithms 4

EEE108 Network Theory 3

ECE206 Signals and Systems 3

ECE207 Analog Electronics circuits 4

ECE204 Analog Circuit Design 4

ECE203 Modulation Techniques 4

ECE103 Digital Logic Design 4

ECE202 Transmission lines and fields 3

EEE226 Control Systems 4

ECE303 Digital Signal Processing 4

ECE304 Microcontroller and Application 4

ECE306 Antennas and wave propagation 3

ECE305 Digital Communication 4

ECE307 Information theory and coding 3

ECE308 Computer Communication 4

ECE401 Optical Communication and Networks 2

ECE402 Microwave Engineering 4

ECE301 VLSI System Design 3

ECE403 Wireless and Mobile Communication 3

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MEE101 ENGINEERING GRAPHICS L T P C

0 0 4 2 Course Prerequisites

None

Objectives 1. To create an awareness and emphasise the need for Engineering Graphics. 2. To teach basic drawing standards and conventions. 3. To develop skills in three-dimensional visualization of engineering components. 4. To develop an understanding of 2D and 3D drawings using the Solidworks software.

Expected Outcome

On completion of this course, the students will be able to 1. Prepare drawings as per standards (BIS). 2. Solve specific geometrical problems in plane geometry involving lines, plane figures and special curves. 3. Produce orthographic projection of engineering components working from pictorial drawings. 4. Prepare 2D Drawings using the Solidworks software. This course meets the following student outcomes d) an ability to function on multidisciplinary teams k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Course Contents

Introduction to engineering graphics – geometrical construction – conics and special curves – free hand sketching – dimensioning principles – orthographic projection – projection of points, lines and solids in simple position only – detailed views of simple 3D objects.

Reference Books

1. N.D. Bhatt (1998), Engineering Drawing, Charotar Publishing House. 2. French and Vierk (2009), Fundamentals of Engineering Drawing, McGraw-Hill. 3. K.V. Natarajan (2006), Engineering Graphics, Dhanalakshmi Publishers. 4. CAD Manual prepared by VIT Faculty.2013

Evaluation Continuous Assessment –50 % and Term End Examination – 50 %

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MEE102 WORKSHOP PRACTICE L T P C 0 0 2 1

Course Prerequisites

None

Objectives • To train the students in metal joining processes like welding, soldering, etc.

• To impart skill in fabricating simple components using sheet metal. • To cultivate safety aspects in handling of tools and equipment.

Expected Outcome

On completion of the course, the students will be able to do • Welding and soldering operations. • Fabrication of simple sheet metal parts.

This course meets the following student outcomes d) an ability to function on multidisciplinary teams f) understanding of professional and ethical responsibility k)an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit No. I Welding Exercises Introduction to BI Standards and reading of welding drawings.

Butt Joint Lap Joint TIG Welding MIG Welding

Unit No. II Sheet Metal Exercises Making of Cube

Making of Cone using development of surface. Making of control panel using development of surface.

Unit No. III Soldering Exercises Soldering and desoldering of resistor in PCB.

Soldering and desoldering of IC in PCB. Soldering and desoldering of capacitor in PCB.

Unit No. IV Bosch Tools Demonstration

Demonstration of all Bosch tools. Introduction to TIG, MIG welding. Aluminum welding - submerged and arc welding, wave soldering.

Reference Books

Workshop Manual prepared by VIT Faculty

Evaluation Continuous Assessment – 50% Term End Examination – 50 %

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ECE102 FUNDAMENTALS OF ELECTRICAL ENGINEERING 3 1 0 4 Prerequisite None Objectives This course will provide the students with an overview of the fundamental

concepts in electrical engineering. Expected Outcome On the completion of this course the student will be able to:

1. Solve DC &AC Circuits 2. Understand the application of network theorems for electronic circuits. 3. Analyse the first & second order response of transient circuits. 4. Understand the basics of few electromechanical machines. This course meets the following student outcomes

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering d) an ability to function on multidisciplinary teams e) an ability to identify, formulate, and solve engineering problems

Unit I DC Circuit analysis Terminologies, Ohms law, voltage & current division, source transformation, star-delta conversion, superposition theorem, Thevenin’s & Norton’s theorems, Maximum power transfer theorem.

Unit II DC Transients Circuit elements R, L, C. Response (forced & natural) of first order circuits (RL & RC). Response of second order circuit (RLC).

Unit III AC Circuit analysis RMS Values, average value, phasor representation of alternating quantities. Concept of j-operator, Steady state AC circuit analysis for R, L, C, RL, RC & RLC series and parallel circuits. Series and parallel resonance condition. AC power calculations. Introduction to three phase systems, balanced. Star and delta connections. Measurement of three phase power.

Unit IV Magnetic circuits Introduction to magnetic field, magnetic materials, analogy between electrical & magnetic circuits, analysis of magnetic circuits, B-H curve, self & mutual inductance. Unit V Electrical machines Working principle, classification, types, construction of transformer. Ideal transformer, e.m.f equation, voltage transformation ratio, phasor diagram, equivalent circuit of transformer. Principle of DC machine, construction, classification, single loop generator, emf equation, operation of DC motor, derivation of torque, speed control, speed torque characteristics. AC machines (Qualitative Treatment) Text Books

1. Alexander and Sadiku, ‘Fundamentals of Electric Circuits, McGraw Hill, 5/e, 2013 2. Fitzgerald, Higginbotham, Grabel, “Basic Electrical Engineering”, McGraw Hill, 5th Ed, 2009.

Reference Books 1. W.H.Hayt, J.E.Kemmerly & S.M.Durbin, “Engineering Circuit Analysis”, TMH, New Delhi, 8th

Ed, 2012 2. E.Hughes, “Electrical & Electronics Fundamentals”, Pearson Education, 2013. Delhi 3. Chakrabarti “Circuit theory”, Dhanpat Rai & co., 2007 4. Allan R. Hambley, “Electrical Engineering – Principles & applications”, Pearson Education, 5/e,

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ECE101 ELECTRON DEVICES AND CIRCUITS 3 0 2 4

Prerequisite PHY102

Objectives To give the students a solid background of solid state devices.

To apply that knowledge to understand and develop simple electronic circuits.

To design amplifiers under different configurations and study their parameters

To study the devices under low frequency for small signals

To simulate the above using soft tools and compare their output with hard-wired circuitry.

Expected Outcome Demystification of Electronics.

Ability to use it as a tool to solve real life problems.

Gain full confidence to work with devices in various types of circuits.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Diodes

Semiconductor Materials and Properties, the p-n Junction, The ideal diode, Terminal characteristics of junction diodes, Modeling diode forward characteristics, Revere breakdown region – Zener diode, Rectifier circuits, Limiting and clamping circuits, Physical operation of diodes, Special diodes

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Unit II The Bipolar Junction Transistor

Device structure and physical operation, current – voltage characteristics, the BJT as an amplifier and a switch, DC Analysis of BJT Circuits, Biasing BJT Amplifier Circuits.

Unit III BJT Amplifiers

Small Signal operations and models, transconductance, input resistances, voltage gain, hybrid-π model, T-model, Small Signal equivalent circuit, Early effect, Single stage BJT amplifiers CE, CB, CC, Comparison

Unit IV The MOS Field Effect Transistors

Device structure and physical operation, current – voltage characteristics, the MOSFET as an amplifier and a switch, DC Analysis of MOSFET Circuits, Biasing MOSFET Amplifier Circuits..

Unit V MOSFET Amplifiers

Small Signal operations and models, transconductance gm, T equivalent circuit model, Body effect, Single stage MOS amplifiers Amplifier Configuration, Common Source, Source Follower, Common Gate Configuration,: Summary and Comparison of the three Basic Amplifier Configurations, Summary and comparison

Text Books

1. Adel S. Sedra, Kenneth C. Smith & Arun N. Chandorkar, Microelectronic Circuits,: Theory and Applications, 6/e, OUP, Chennai, 2013

2. D. A. Neamen, ‘Micro Electronic Circuit Analysis and Design’, 4/e, McGraw-Hill, New Delhi, 2009.

Reference Books

1. P. Malvino, D. J. Bates, ‘Electronic Principles’, 7/e, Tata McGraw-Hill, New Delhi, 2006.

2. R. L. Boylestad and L. Nashelsky ‘Electronic Devices and Circuit Theory’ 11/e, Pearson Education, Delhi, 2012.

3. D. A. Bell, ‘Electronic Devices and Circuits’, 7/e, OUP, India, New Delhi, 2010. 4. T. F. Boghart, J. S. Beasley and G. Rico, ‘Electronic Devices and Circuits’, Pearson

Education, 6/e, Delhi, 2004. 5. B G. Streetman and S. Banerjee, ‘Solid State Electronic Devices’, Prentice Hall,

Delhi, 7/e, 2014.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ELECTRON DEVICES AND CIRCUITS LAB

Experiments

1. PN Junction diode characteristics 2. Zener diode characteristics 3. Full wave Rectifier 4. Full wave Rectifier with capacitor filter. 5. Clipper 6. Clamper 7. Transistor CB characteristics (Input and Output) 8. Transistor CE characteristics (Input and Output) 9. Transistor as an amplifier (CE) 10. Emitter Follower (CC) 11. FET characteristics 12. UJT Characteristics.

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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Course code CSE101

COMPUTER PROGRAMMING AND PROBLEM SOLVING

L T P C 2 0 2 3

Course Prerequisites: Nil Objectives:

To provide an overview of computer algorithms and problem solving techniques To introduce ‘C’ Language that serves as a foundation for the study of different programming languages.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering e) an ability to identify, formulate, and solve engineering problems i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice. Unit No. 1 INTRODUCTION TO COMPUTERS

AND ALGORITHMS 6 hours

Parts of a computer – Overview of operating systems, compilers, interpreters and programming languages. Algorithms for exchanging the values of two variables, counting, summation of a set of numbers, factorial computation, sine function computation, generation of the Fibonacci sequence, reversing the digits of an integer, base conversion and character to number conversion. Unit No. 2 CONSTRUCTS OF C 7 hours Lexical elements – Operators - data types – I/O statements – format specifications – control statements – decision making and looping. Unit No. 3 ARRAYS 8 hours Array handling in C – declaration – single dimensional arrays, two – dimensional arrays, multi-dimensional arrays, sorting and searching on single and two dimensional arrays. Array order reversal, array counting or histogramming, finding the maximum number in a set, removal of duplicates from an ordered array, partition an array, finding the kth-smallest element strings: Character array – string handling functions – manipulation on strings. Unit No. 4 FUNCTIONS 5 hours Prototype – declaration - arguments (formal and actual) – return types – types of functions difference between built-in and user-defined functions. Unit No.5 STRUCTURES 4 hours Declarations - nested structures- array of structures - structure to functions - unions- difference between structure and union Text / Reference Books

1. Yashavant P. Kanetkar. “Let Us C”, BPB Publications, 2011. 2 Anita Goel and Ajay Mittal, “Computer Fundamentals and Programming in C”, Dorling Kindersley (India) Pvt. Ltd., Pearson Education in South Asia, 2011. 3. Dromey R.G., “How to Solve it by Computer”, Pearson Education, Fourth Reprint, 2008. 4.Alexis Leon; Mathews Leon, Fundamentals of Information Technology, 2/e, Vikas publishing

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50

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COMPUTER PROGRAMMING AND PROBLEM SOLVING LAB

Ex.No Exercises

1 Programs using only I/O Functions

2 Programs to study operators and data types

3 Programs based on control Structures (IF, SWITCH CASE)

4 Programs using For and While loops

5 Programs using single dimensional arrays

6 Programs using multi Dimensional arrays

7 Programs on Sorting and searching using arrays

8 Programs based on string Manipulations

9 Programs based on User defined function programs

10 Programs using Functions with parameters

11 Program using storage classes

12 Programs to introduce pointers

13 Programs using structures

14 Programs using array of structures

Evaluation:

Continuous Assessment 50%; Term End Examination 50%

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CSE102 DATA STRUCTURES AND ALGORITHMS

L 3

T 0

P 2

C 4

Course Prerequisites

CSE 101

Objectives: The course aims to introduce the concept of arrays, recursion, stack, queue, linked list, trees and graph data structures.

Expected Outcome:

On the completion of this course the student will be able to apply • The concept of arrays, structures pointers and recursion • The concept of stack, queue and linked list concepts • Trees, representation of trees, tree traversal and basic operations on

trees to any algorithm • Some of the sorting and searching techniques • The concept of graphs, traversal techniques and minimum spanning

tree.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Introduction to Data Structures

Abstract data types – sequences as value definitions – Data types in C - Pointers in C – Data Structures in C - Arrays in C – Array as ADT - One dimensional array -Implementing one dimensional array – Array as parameter - Two dimensional array -Structures in C - Implementing structures - Unions in C - Implementation of unions -Structure parameters - Allocation of storage and scope of variables – Recursion definition and processes: Factorial function – Fibonacci sequence – Recursion in C – Efficiency of recursion

Unit II Stack, Queue and Linked List

Stack definition and examples – Primitive operations – Example - Representing stacks in C - Push and pop operation implementation. Queue as ADT - C Implementation of queues - Insert operation - Priority queue - Array implementation of priority queue. Inserting and removing nodes from a list-linked implementation of stack, queue and priority queue – other list structures – Circular lists: Stack and queue as circular list – Primitive operations on circular lists. Header nodes – Doubly linked lists – Addition of long positive integers on circular and doubly linked list.

Unit III Trees

Binary trees: Operations on binary trees - Applications of binary trees - Binary tree representation - Node representation of binary trees - Implicit

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array representation of binary tree – Binary tree traversal in C – Threaded binary tree – Representing list as binary tree - Finding the Kth element - Deleting an element.

Trees and their applications: C representation of trees - Tree traversals - Evaluating an expression tree - Constructing a tree.

Unit IV Sorting and Searching

General background of sorting, Efficiency considerations, Notations, Efficiency of sorting. Exchange sorts: Bubble sort; Quick sort; Selection sort; Binary tree sort; Heap sort. Heap as a priority queue – Sorting using a heap-heap sort procedure - Insertion sorts: Simple insertion - Shell sort – Address calculation sort - Merge sort – Radix sort. Sequential search: Indexed sequential search – Binary search – Interpolation search.

Unit V Graphs

Application of graph - C representation of graphs – Transitive closure –Warshall’s algorithm – Shortest path algorithm - Linked representation of graphs - Dijkstra’s algorithm - Graph traversal - Traversal methods for graphs – Spanning forests - Undirected graph and their traversals - Depth first traversal – Application of depth first traversal – Efficiency of depth first traversal - Breadth first traversal – Minimum spanning tree – Kruskal’s algorithm – Round robin algorithm.

Text Books 1. Aaron M. Tenenbaum, Yeedidyah Langsam, Moshe J. Augenstein, ‘Data

structures using C’, Pearson Education, 2008.

Reference Books

1. E. Balagurusamy, ‘Programming in Ansi C’, Second Edition, 6/e, McGraw Hill, 2012.

2. Robert L. Kruse, Bruce P. Leung Clovis L.Tondo, ‘Data Structures and Program Design in C’, Pearson Education, 2007

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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List of Experiments:

1. Application of stacks a) Infix to postfix conversion

b) Recursion

2. Queues a) Simulation of a real-time queue

3. Linked lists a) Simulation of linear lists and doubly linked lists

b) Simulation of circularly linked lists

4. Trees a) Symbol table construction

5. Graphs a) Breadth first searching (BFS)

b) Depth first searching (DFS)

6. Sorting techniques a) Bubble sort

b) Merge sort

c) Quick sort and radix sort

7. Searching techniques a) Binary search

b) Linear search

8. Applications a) Simulation of a routing problem using greedy search

b) Simulation of a routing problem using dynamic programming

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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EEE108 NETWORK THEORY 3 0 0 3

Prerequisite ECE102 Fundamentals of Electrical Engineering

Objectives This course will provide the students with an overview of the fundamental concepts in Electronics Engineering

Expected Outcome 1. Derive the empirical relationship between power, voltage and current and analyze the AC circuits with dependent sources in steady state.

2. Understand the application of network theorems for electronic circuits.

3. Understand the Laplace Transform and its application on linear network analysis.

4. Understand the basics of two port networks and its different parameters like Z.Y, h and ABCD. Interconnection of two port networks.

5. Understand the Fourier series, Fourier Transform and its application on linear network analysis

6. Design the passive filters for various applications.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political,

e) an ability to identify, formulate, and solve engineering problems

Unit I Sinusoidal Steady-State Analysis & Network Topology

Steady State Sinusoidal Analysis Using Phasors, Nodal and Mesh analysis. Network Theorems: Superposition and Reciprocity, Thevenin and Norton’s Theorem, Maximum Power Transfer Theorem, Millman’s and compensation theorems. Matrices Associated with Graphs; Incidence, Fundamental Cut-set and tie set matrix formation.

Unit II Circuit Analysis in the S-domain

Reviews of laplace transform, Notations of impedance and admittance, poles, zeros and transfer functions, Analysis of circuits subject to periodic and non-periodic excitations using Laplace transforms. Complex-frequency plane, circuits in the s-domain. Concept of free and forced response of circuits

Unit III Two-Port Networks

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One port networks, two port admittance parameters, admittance parameter analysis of terminated two ports, Two port impedance parameters, impedance and gain calculations of terminated two ports modeled by Z- parameters, Hybrid parameters, Generalized two-port parameters, transmission parameters, Reciprocity, parallel, Series and cascade connections of Two-ports.

Unit IV Fourier Method of Waveform analysis

Analysis of circuits subject to periodic and non periodic excitations using Fourier series and Fourier transforms. effective values and power.

Unit V Principles of Basic Passive Filtering

Filters – Concept of filtering, filter types(Low pass, High pass, Band pass & Band stop)and characteristics, classical design of T and PI passive filters, frequency transformations.

Text Books

1. Network Analysis – M.E. Van Valkenberg, Prentice-Hall of Idnia Pvt. Ltd., 3rd Edition, 2006.

2. Engineering circuit analysis – By William Hayt and jack E.Kemmerly, McGraw-Hill, 8/e, 2011.

Reference Books

1. Charles K Alexander, Mathew N O Sadiku, “Fundamentals of Electric Circuits”, Tata McGraw Hill, 5/e, 2012.

2. A. Chakrabarti “Circuit theory”, Dhanpat Rai & Co, 2008.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE206 SIGNALS AND SYSTEMS 3 0 0 3 Prerequisite MAT101 Multivariable Calculus and Differential Equations Objectives Study of characteristics of fundamental signals like unit impulse, unit step, Ramp

and exponentials. To study various operations on the signals. Study of systems as linear, time invariant, causal and stable ones. Introduction of concept of linear convolution and correlation for LTI systems. Study of different forms and properties of Fourier transform. Study of utility of Fourier transform for analysis of signals passed through systems. Laplace Transform as a tool for analysis of continuous systems. Z-transform as a tool for analysis of discrete systems.

Expected Outcome

1. Differentiate between various types of signals like unit impulse, unit step, ramp and exponentials.

2. Understand the concepts of damped sinusoids and periodicity. 3. Study the concept of even and odd signals. 4. Study the concept of stability of a system. 5. Study the use of Fourier series and Fourier transform for analysis of

continuous signals. 6. know about power spectral density of signals.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering e) an ability to identify, formulate, and solve engineering problems i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Continuous Time Signals Signal classification – Dirac delta – Types of signals: unit step, ramp, sign and exponential functions – Operations on signals – Analogy between vectors and signals –Concept of linearly dependent and independent vectors, Cauchy Swartz’s inequality– Orthogonality – Mean square error – Computation of moments, energy, power, periodicity, LP, L2, and L∞, Norms of signals – Fourier series – Fourier transform and its properties – Time-Bandwidth product – Fourier transform of periodic and power signals – power and energy spectral densities – Auto and cross correlation of periodic and aperiodic signals. Unit II Continuous Time Systems Systems defined by differential equations-Classification of systems – Linearity and time invariance – Transmission of signals through LTI systems – Convolution – Impulse response – Frequency response – Ideal filters – Distortion less transmission – Bandwidth – Rise time – Hilbert transform – Pre and complex envelopes – Band pass signals through band pass systems. Unit III Discrete Time Signals and Systems Continuous to Discrete signal conversion (sampling)-Unit impulse, step, ramp, and exponential signals – Periodicity of signals – Operations on signals – Linear Shift Invariant (LSI) system –

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Stability – Causality – Convolution and Correlation – Linear constant coefficient difference equation – Impulse response – Discrete time Fourier transform – Properties – Transfer function – System analysis using DTFT. Unit IV The Z-Transform Derivation and definition – ROC – Properties – Linearity, time shifting, change of scale, Z-domain differentiation, differencing, accumulation, convolution in discrete time, initial and final value theorems – Poles and zeros in Z-plane – The inverse Z-transform – System analysis – Transfer function - BIBO stability – System response to standard signals – Solution of difference equations with initial conditions Unit V Laplace Transform Definition – ROC – Properties – Inverse Laplace transform – the S-plane and BIBO stability – Transfer functions – System response to standard signals – Solution of differential equations with initial conditions Text Books

1. Alan V.Oppenheim,Alan S.Wilsky, with S.Hamid Nawab, "Signals and Systems", Prentice-Hall of India.2nd Edition,2010.

2. M.J.Roberts and Govind Sharma, "Fundamentals of Signals and Systems", Tata McGraw-Hill, 2010

Reference Books 1. Simon Haykin “Signals and Systems”, John Wiley pub. ltd, New Delhi. 2008 2. Simon Haykin, "Communication Systems", Wiley Eastern Ltd., 5th Ed, ISV, New Delhi,

2012. 3. Ashok Ambardar, "Digital Signal Processing – A Modern Introduction", Thomson

Learning Inc., 2007 4. B.P.Lathi, "Signals, Systems and Communications", B.S. Publications., 2008

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ECE 207 ANALOG ELECTRONIC CIRCUITS 3 0 2 4 Prerequisite ECE101 ELECTRON DEVICES AND CIRCUITS Objectives • To build on EDC, the applications of amplifier Circuits at higher

frequencies. • To introduce the concepts of negative and positive feedback. • To know the design of all relevant circuits. • A clear concept of linear electronic circuits • Comfort level in analyzing and designing different analog circuits.

Expected Outcome

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability e) an ability to identify, formulate, and solve engineering problems i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I BJT Internal Capacitances & High Frequency Model Diffusion capacitance, B-E junction capacitance, C-B junction capacitance, high frequency hybrid-π model, cutoff frequency, frequency response of a CE amplifier, the three frequency bands, high frequency response, low frequency response, unity gain bandwidth. Unit II MOSFET Internal Capacitances & High Frequency

Model

Gate capacitive effect, junction capacitances, high frequency model, unity gain frequency, frequency response of a CS amplifier, the three frequency bands, high frequency response, low frequency response, CMOS digital logic inverter, Depletion type MOSFET, JFET. Unit III Power Amplifiers Preview, Power Amplifiers, Power Transistors, Classes of Amplifiers, Class A Power Amplifiers, Class AB Push-Pull Complementary Output Stages

Unit IV Differential and Multistage Amplifiers Preview, the Differential Amplifier, Basic BJT Differential Pair, Basic FET Differential Pair, Differential Amplifier with Active Load, BiCMOS Circuits, Gain Stage and Simple Output Stage, Diff-Amp Frequency Response. Unit V Feedback and Oscillators Introduction to Feedback, Basic Feedback Concepts, Ideal Feedback Topologies, Voltage Amplifiers, Current Amplifiers, Transconductance Amplifiers, Transresistance Amplifiers, Loop Gain, Stability of the Feedback Circuit, Frequency Compensation, Barkhausen Criterion, Hartley, Colpitt’s, Wien Bridge, RC Phase Shift and Crystal Oscillators Text Books

1. Adel S. Sedra, Kenneth C. Smith & Arun N. Chandorkar , Microelectronic Circuits,: Theory and Applications, 6/e, OUP, 2013

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Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

2. D. A. Neamen, ‘Micro Electronic Circuit Analysis and Design’ 4/e, McGraw-Hill, New Delhi, 2010.

Reference Books 1. P. Malvino, D. J. Bates, ‘Electronic Principles’, 7/e, Tata McGraw-Hill, New Delhi, 2007. 2. R. L. Boylestad and L. Nashelsky ‘Electronic Devices and Circuit Theory’ 11/e, Pearson

Education, Delhi, 2012. 3. D. A. Bell, ‘Electronic Devices and Circuits’, 7/e, OUP, India, 2010. 4. T. F. Boghart, J. S. Beasley and G. Rico, ‘Electronic Devices and Circuits’, Pearson

Education, 6/e, Delhi, 2004.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

ANALOG ELECTRONIC CIRCUITS LAB

List of Experiments I. Using Multisim:

1. Introduction to software tool Multisim for circuit simulation. 2. Single stage (CE, CC) amplifiers. 3. RC coupled amplifier. 4. Darlington Emitter follower 5. Voltage series feed back amplifier (FET, BJT) 6. RC phase shift oscillator

II. Hardware testing: 7. RC coupled amplifier 8. RC phase shift Oscillator 9. Class A, Class B power Amplifier Circuits. 10. Series and Shunt feedback amplifiers 11. Class B Complementary symmetry power amplifier 12. Single tuned amplifier.

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ECE204 ANALOG CIRCUIT DESIGN 3 0 2 4 Prerequisite ECE 207 –Analog Electronics circuits Objectives Describe the Characteristics, frequency response and limitations of the

operational amplifiers. Analyze and design operational amplifier circuits to perform analog computations, switching circuits, waveform generators and active filters. Describe the operations of the 555 timers and PLLs and their applications. Exhibit the characteristics of DAC and ADC circuits.

Expected Outcome

1. Apply mathematical concepts to characterize and model the circuits using IC 741.

2. Design and troubleshoot simple analog circuits using Op amp, Timer ICs and PLLs.

3. List and discuss possible reasons for deviation between predicted and measured results from an experiment or problems.

4. Construct A/D and D/A converters and study their characteristics. This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability e) an ability to identify, formulate, and solve engineering problems i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Op-Amp Characteristics Op-Amp equivalent circuits, terminals, ideal Op-Amp, Op-Amp DC characteristics: Low- Frequency Model of Op-Amp, Non inverting Amplifier, Inverting Amplifier, bias, offset, thermal drift, AC characteristics: Closed-Loop Frequency Response, Slew Rate, Combination of Linear Noise in Operational Amplifier, Common Mode Rejection Unit II Linear Op- Amp Circuits DC and AC amplifiers, summing, scaling, and averaging amplifiers, Instrumentation amplifiers, I/V, V/I converter, Integrator, Differentiator, differential amplifiers. Op-amp with negative feedback: voltage series, voltage shunt feedback amplifiers, Signal conditioning Circuits Unit III Op-Amps with Diodes Logarithmic Amplifiers, Rectifiers, Peak DetSection and Voltage Regulation, LM 117/LM317 Regulators Unit IV Comparators and Waveform Generators Comparator – zero crossing detector, schmitt trigger, free-running, one-shot Multivibrators,

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sine wave generators- Barkhausen Criterion ,phase-shift, wein-bridge oscillators, Square/Triangular, saw-tooth wave Function Generator Unit V Active Filters Filter Classifications, Frequency and Impedance Scaling Butterworth Filter Responses Low-Pass and High Pass Designs, Band-Pass Filter, Notch filter, All-pass filter. Unit VI PLL and Timers Phase detector comparator, VCO, Low-pass filter, monolithic PLL, PLL applications, operating modes 555 timer, Astable and monostable operation and applications Unit VII A/D and D/A Converters Sample-and-hold circuits, DAC characteristics, D/A conversion techniques, A/D characteristics, A/D conversion techniques-integrating, successive approximation, flash converters Text Books

1. R. A. Gayakwad, “Op-Amps and Linear Integrated Circuit”, 4/e Pearson Education, 2010

2. D. Roy Choudhury and Shail B Jain, “Linear integrated Circuits”, New-Age International Publishers, 2010

Reference Books 1. Robert F. Coughlin, and Driscoll,” Operational Amplifiers and Linear Integrated

Circuits”, 6/e, Pearson Education. Reprint 2007 2. P. R. Gray and R. G. Meyer,” Analysis and Design of Analog Integrated Circuit, John

Wiley, 4th Ed, Reprint 2009

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ANALOG CIRCUIT DESIGN LAB

List of Experiments

1. Design of square wave generator for a specified frequency and duty cycle, using OP-Amp IC741 and Design of triangular wave generator from square wave generator.

2. Design of a sinusoidal oscillator for specified frequency based on Wien bridge and RC phase shift oscillators using IC-741

3. Design and testing of precision rectifier. 4. Design and testing of Active Filters LPF& HPF for specified frequency 5. Application of Timer IC 555

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE203 MODULATION TECHNIQUES 3 0 2 4

Prerequisite ECE101 ELECTRON DEVICES AND CIRCUITS

Objectives To introduce the elements of communication systems, describe the generalized block diagram and the types of communication systems.

To discuss the concepts of noise, noise voltage, noise temperature, SNR of various modulation schemes.

To explain the need for modulation and describe the concepts behind the CW, PM, Angle modulation techniques.

To illustrate and explain various pulse modulation techniques

Expected Outcome

1. Analyze the effects of noise in CW &angle modulation 2. Demonstrate the generation and detection of amplitude and angle

modulation techniques 3. Identify and compare different pulse modulation techniques

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

j) a knowledge of contemporary issues

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I INTRODUCTION TO COMMUNICATION SYSTEM

Need and Importance of Communication, Elements of Communication System, Generalized block diagram of communication system, Role of each block (information source, transmitter, channel/communication media, receiver).Types of communication systems- Simplex and Duplex systems, Analog and digital systems, Applications of Electronic Communications, Electromagnetic Spectrum used in communication and various frequency bands, Concept of bandwidth.

Unit II AMPLITUDE MODULATION

Need for modulation – amplitude modulation – frequency spectrum – Power relation –different types of modulators – SSB and VSB modulation and demodulation. AM transmitters – Block diagram – functions of each block – high level transmitters- Problems.

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Unit III ANGLE MODULATION

Principle of frequency and phase – modulation – Relation between FM and PM waves – Bandwidth of FM – Narrow band wide band FM – Generation of FM wave – Direct and Indirect methods – FM transmitters – Block diagram – functions of each block- Problems.

Unit IV NOISE , DETECTION AND RECEIVERS

Noise in communication and types of noise (External and Internal), Noise voltage, Signal-to-noise ratio, Noise figure, Noise temperature.

Noise in CW modulation systems:

Receiver model, signal to noise ratio (SNR), noise figure, noise temperature, noise in DSB-SC, SSB, AM & FM receivers, pre-emphasis and de-emphasis

Detection – Diode detectors – Synchronous detection – FM detectors – slope detectors – Phase discriminators – Ratio detectors. Receiver – different types – super hetero dyne receivers – Block diagram – Choice of IF and Oscillator frequencies – Tracking – alignment – AVC, AFC – Receiver characteristics.

Unit V PULSE MODULATION SYSTEMS

Sampling theorem – Pulse amplitude modulation – Channel bandwidth for PAM – detection of PAM signals –Pulse width modulation – generation of PWM and PPM –conversion of PWM to PPM – detection of PWM and PPM –TDM & FDM ,problems related to TDM & FDM.

Text Books

1. Taub and Schilling, “Principles of Communication Systems”, 4th edition, McGraw Hill, 2013.

2. Roddy and Coolen, “Electronic Communication”, 4th edition, 2nd impression, Prentice Hall of India, 2009.

Reference Books 1. Wayne Tomasi, “Electronic Communications Systems – Fundamentals Through

advanced”, 5th Edition, Pearson Education, 2009. 1. G. Kennedy, “Electronic Communication Systems”, McGraw Hill, 4th edition, 35th

reprint 2008

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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MODULATION TECHNIQUES LAB

List of Experiments

1. Amplitude modulation 2. Amplitude demodulation 3. Frequency modulation 4. Frequency demodulation 5. Pulse amplitude modulation 6. Pulse width modulation 7. Mixer 8. Pre-emphasis 9. De-emphasis 10. Sample and Hold Circuit. 11. Noise calculation in AM receiver using MATLAB. 12. Noise calculation in FM receiver using MATLAB.

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE103 DIGITAL LOGIC DESIGN 3 0 2 4 Prerequisite ECE101 ELECTRON DEVICES AND CIRCUITS Objectives Establish a strong understanding of the principles of Digital Design.

Provide Understanding of number systems and Boolean algebra. Represent logical functions in Canonical form and standard forms. Develop the Knowledge of combinational and sequential circuits design. Enable the student to design and implement their circuits

Expected Outcome

1. An ability to understand the basic number systems used in digital design

2. An ability to understand the basic principles of Boolean algebra 3. An ability to design and analyze combinational logic and

sequential logic digital circuits 4. Develop state diagrams and algorithmic state machine charts

methods of minimization of next state transition tables, and strategies for state assignment.

5. An ability to design and analyze finite state machines. 6. An ability to design and implement Combinational and Sequential

circuits using PLAs. This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Number systems and Boolean algebra 3 Hrs Brief review of Digital systems, Binary numbers, Number base conversions, Representation of Negative Numbers, Complements, Binary arithmetic, Binary Codes for Decimal Numbers. Basic Definitions, Axiomatic Definition of Boolean Algebra, Basic Theorems and Properties of Boolean Algebra, Boolean Functions, Canonical and Standard Forms, Digital Logic Gates and timing concepts. Unit II Gate-Level Minimization 4 Hrs The Map Method - K-map 4 variable, Product of Sums Simplification, NAND and NOR Implementation, Other Two-Level Implementations. Review of , RTL, DTL, TTL, ECL, CMOS families. Unit III VerilogHDL Coding Style 8 Hrs Lexical Conventions - Ports and Modules – Operators - Gate Level Modeling - System Tasks & Compiler Directives - Test Bench - Data Flow Modeling - Behavioral level Modeling -Tasks & Functions

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Unit IV Design and Modeling of Combinational Logic

Circuits using Verilog 15hrs

Analysis Procedure, Design Procedure, Binary Adder-Subtractor, Parallel Adder, Carry look Ahead Adder, Binary Multiplier, Code Converters-Binary to Gray, Gray to Binary, BCD to Excess-3 Code Conversion and vice versa, BCD to 7-segment code converter, Magnitude Comparator-4 bit, Decoders, Encoders, Multiplexers, De-multiplexer, Parity generator and checker. Modeling of above combinational circuits using Verilog Unit V Sequential Logic 15 Hrs Latches, Flip-Flops-SR, D, JK & T, realization of FFs, synchronous and asynchronous sequential circuits-State table and state diagrams, State reduction, Shift Registers-SISO, SIPO, PISO,PIPO, Design of counters-Modulo-n, Johnson, Ring, Up/Down, Design of Serial Adder, Serial Multiplier, FSM, Mealy and Moore state machines - State minimization – Sequence detection. Modeling of above sequential circuits using Verilog Text Books

1. M. Morris Mano, "Digital Design", 4th Edition, Prentice Hall of India Pvt.Ltd., 2012.

2. Samir Palnitkar,”Verilog HDL: A Guide to Digital Design and Synthesis” Prentice Hall, Second Edition, 2009

Reference Books 1. Charles H. Roth, Jr., "Fundamentals of Logic Design", 7/e, Brooks/Cole, 2014 2. Thomas L. Floyd & R P Jain, “Digital Fundamentals”, PHI, 10th Edition, 2009. 3. Ronald J Tocci & Neal S. Widmer, “Digital Systems, Principles and Applications”,

11/e, Pearson education, 2010.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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DIGITAL LOGIC DESIGN LAB

List of Experiments

1. Verification of logic gates 2. Design of HA, FA, HS, FS. 3. MUX and De-MX (SOP, POS-Minimization) 4. Encoder and Decoder 5. Parity Generator and checker 6. Code Converters. 7. Verification of Flip Flops.

Software experiments ( Altera Quartus-II and Model Sim)

8. Modeling of HA, FA, HS, FS, MUX ,De-MUX, Encoder, Decoder and FF 9. Shift Registers and their types. 10. Counters and their typed. 11. Design of Sequential Circuit. 12. Sequence Detector.

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE202 TRANSMISSION LINES AND FIELDS 3 0 0 3

Prerequisite ECE208 ENGINEERING ELECTROMAGNETICS

Objectives Introduce various types of transmission lines and analyze the lumped circuit model of a transmission line and their characteristics.

Illustrate the concept of planar transmission lines.

Define SWR, Reflection Coefficient, Return loss and impedance matching.

Describe the various noise sources of electromagnetic signals and the ways to combat Electromagnetic Interference.

Analyze the propagation of electromagnetic waves in waveguides

Expected Outcome

1. Interpret the lumped circuit model of a transmission line with circuit theory and determine characteristic impedance, propagation constant and reflection coefficient.

2. Compute the SWR, reflection coefficient parameters using smith chart and design single stub matching and double stub matching.

3. Infer E and H field distribution in Microstrip, strip and coplanar lines.

4. Deduce the field configuration of parallel plate, rectangular and circular waveguide.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

Unit I Transmission Line theory

Common types of transmission lines used in circuits, lumped circuit model for transmission line and formal solutions. Characteristic impedance, propagation constant, attenuation and phase constants. Open circuited and short circuited lines. Reflection of line not terminated in Z0- Reflection coefficient- standing wave ratio- reflection factor return loss. Generator and mismatches- distortion in transmission lines.

Unit II Planar transmission lines

Microstrip lines- Characteristic impedance-Losses in microstrip lines – Q-factor of microstrip line. Parallel strip lines- distributed parameters- characteristic impedance- losses Coplanar strip line- shielded strip line- tapered strip line-microstrip resonator CAT cable

Unit III Matching and Measurement

Transmission line resonator- impedance matching-single and double stub. Narrowband and

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broadband matching- quarter wave transformer. Measurement of VSWR, impedance, insertion loss and attenuation using Smith chart

Unit IV Introduction to EMI

Electromagnetic noise sources - Coupling of transmission lines to external EM fields – Coupling between lines - Grounding and shielding methods.

Unit V Waveguides

General solutions for TEM, TE and TM waves- parallel plate waveguide Rectangular waveguide -TE, TM modes, power transmission, losses in rectangular waveguide excitation of modes. Circular waveguide- TE, TM modes, power transmission Dielectric fiber and rod waveguide- waveguide coupling, attenuation factor and Q of waveguide Coaxial lines – TEM and higher order modes

Text Books

1. David M. Pozar, “Microwave Engineering”, 4th Ed. John Wiley 2012. 2. John D. Ryder, “Network lines and Fields”, PHI, 2003.

Reference Books

1. Samuel Y Liao, “Microwave devices and circuits”, III Ed, Pearson education, 2003 2. Robert C Newman, “ Broadband Communication”, PH International, 2002

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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EEE226 CONTROL SYSTEMS 3 0 2 4

Prerequisite MAT105 DIFFERENTIAL AND DIFFERENCE EQUATIONS,

ECE102 Fundamentals of Electrical Engineering

Objectives To present a clear exposition of the classical methods of control engineering, physical system modeling, and basic principles of frequency and time domain design techniques.

To teach the practical control system design with realistic system specifications.

To provide knowledge of state variable models and fundamental notions of state feedback design.

Expected Outcome

1. Calculate the transfer function from the block diagram 2. Determine the stability of linear systems 3. Design PID controllers from design specifications 4. Apply frequency domain methods to determine stability 5. Formulate state-space models

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Systems and their representations

Basic elements in control systems – open loop & closed loop – Transfer functions of mechanical, electrical, thermal and analogous systems. Block diagram reduction – and signal flow graphs. Control System Components: DC Servo motor – AC Servo Motor- Synchro – Stepper motor.

Unit II Time Response Analysis

Time response – Time domain specifications – Types of test inputs – I and II order system response – Steady state error, error constants, generalized error coefficient – Introduction to P, PI, PID controllers – Stability – Concept and definition, Characteristic equation –

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Location of poles – Routh Hurwitz criterion – Root locus techniques: construction.

Unit III Frequency Response Analysis and Design

Bode plots – Polar plot – Nyquist stability criterion – Correlation between frequency domain and time domain specifications – stability analysis using frequency response methods.

Unit IV Compensator and Controller Design

Realization of basic compensators, cascade compensation in time domain and frequency domain, feed back compensation – Design of lag, lead, lag-lead series compensator (using Bode plot) – Design of P, PI and PID controllers in frequency domain.

Unit V State-Space Analysis

State equation – Solutions – Realization – Controllability – Observability – State space to transfer function conversion – Pole placement.

Text Books

1. Norman S. Nise, “Control System Engg”, John Wiley & Sons, 7/e, 2014 Reference Books

1. Smarajit Ghosh, “Control System (Theory and Applications)”, Pearson Education, 2007

2. Graham C.Goodwin, Stefan F.Graebe, Mario E.Sagado, “Control System Design”, Phi, 2009

3. M. Gopal, “Digital Control and State Variable Methods”, Tata McGraw Hill, 2008. 4. Rao V Dukkipatti, “Control Systems”, Narosa Publications, 2008 5. I.J. Nagarth and M.Gopal, “Control Systems Engineering”, New Age International,

5th Edn, 2008 6. M. Gopal, “Control Systems-Principles and Design”, Tata McGrawhill-4th Edn. 2012 7. K. Ogata, “Moddern Control Engineering”, Pearson Edition-5th Ed. 2011

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE303 DIGITAL SIGNAL PROCESSING 3 0 2 4

Prerequisite ECE206 Signals and Systems

Objectives • To recognize linear time-invariant (LTI) discrete-time systems • To find frequency response of LTI system, find zeros and poles in

discrete-time LTI system • To design IIR filters using impulse invariance, design FIR filters using

windowing • To apply FFT to Communication Systems. • To implement certain DSP algorithms on Digital Signal Processors. • Obtain a knowledge and ability to use the appropriate tools(Digital

Signal Processors) to build DSP systems for real time problems. Expected Outcome

1. Able to describe and interpret the basic elements of digital Signal processing.

2. Design and solve the specific analysis using Discrete Fourier transform, Z-transform on given input signals

3. Ability to design and implement filter like operations within the real time constraints.

4. Ability to design a typical digital Signal processing for specific application in real time.

5. Ability to Contribute Signal processing tasks in interdisciplinary projects like automotive systems, Communication , Biomedical, space, defence, Multimedia and virtual reality etc.,

6. Able to solve real time signal processing issues by identifying finite word length effect and performance improvement by properly selecting components to full fil the required features.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

f) an understanding of professional and ethical responsibility

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

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i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Review of Discrete -Time Systems

discrete time signals and systems- Linear convolution and correlation Basic principles of z-transform - z-transform definition – region of convergence – properties of ROC (Region Of Convergence)and its significance in signals and system analysis. Pole- Zero map- System realization through block-diagram representation and system inter connection. Recursive – Non-recursive filters

Unit II Fast Fourier Transforms

Frequency response- DTFT estimation by DFT –Inverse DTFT estimation by DFT –Frequency domain sampling- Sampling rate conversion- Aperodic correlation estimation-Cepstrum processing- Band limited discrete time signals- Phase and group delay- Frequency analysis of signals using DFT-FFT Algorithm-Radix-2 FFT algorithms-

Unit III Theory and Design of Digital IIR Filter

Review of design techniques for analog low pass filter(Butterworth and Chebyshev approximations), frequency transformation, Properties of IIR filter-Constant group delay and zero phase filters - IIR filter design –Different methods of IIR filter Design (Bilinear and Impulse Invariant Techniques)- Spectral transformation of Digital filters

Unit IV Theory and Design of Digital FIR Filters

Design characteristics of FIR filters with linear- phase – Frequency response of linear phase FIR filters – Design of FIR filters using window functions(Rectangular, Hamming, Hanning, Blackmann, and Kaiser)- Comparison of design methods of FIR filters

Unit V Implementation of Discrete time systems

Structure for the realization discrete time systems- Structure for FIR systems- Direct form, Cascade, frequency sampling and Lattice structures and polyphase realization- Structure for IIR systems- Direct, Cascade, Parallel, Lattice and Lattice ladder.

Unit VI Digital Signal Processors

General-purpose digital signal processors - Fixed point and floating point DSP- Finite word length effect-MAC, filter operation in different DSP architecture- typical implementation of DSP algorithms (FFT and filter implementation) Text Books

1. J.G.Proakis , D.G.Manolakis and D.Sharma, “Digital Signal Processing Principles, Algorithms and Applications”, Pearson Education, 4/e, 2007.

2. S.K.Mitra, Digital Signal Processing, 4rd edition, TMH, 2011

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3. Emmanuel C.Ifeachor, “Digital Signal Processing A Practical Approach” 2nd edition, Pearson Education, 2011

Reference Books

1. Emmanuel C.Ifeachor, “ Digital Signal Processing A Practical Approach” 2nd edition, Pearson Education, 2011.

2. Oppenhiem V.A.V and Schaffer R.W, “Discrete – time Signal Processing”, 3rd edition, Prentice Hall, 2009.

3. Lawrence R Rabiner and Bernard Gold, “Theory and Application of Digital Signal Processing” , PHI 2009

4. Andreas Antoniou, Digital Signal Processing, TMH, 2009 5. Roberto Cristi, “Modern Digital Signal Processing”, Thomson Brooks, 2007

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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DIGITAL SIGNAL PROCESSING LAB List of Experiments

I. Matlab based Exercise:

1. Waveform generator

a) Periodic signals b) Auto correlation function and Periodicity Measurement

2. Analog to Digital Filter Design through Transformation - order window Estimation 3. Digital Filter Realization Techniques

a) Design of Low Pass /High pass filter using Matlab Programming b) Design of Band Pass Filter using Matlab Programming

4. ECG signal analysis using FIR Filtering through SPtool 5. Speech signal analysis using IIR filtering through SPtool 6. BASS & TREBLE CONTROL OF AN MUSIC USING FIR FILTER (USING

SIMULINK & CCS along with TEXAS Processor in Real Time) 7. SNR measurement

a) Quantization noise verification b) Fixed Vs Floating point studies

II. DSP Processor Based Experiments

Processor Details- Architecture Information 1. Processor Basic functions

• ALU, MAC, shifter (ASM) • Bit reversal ( 8 bit and 16 bit)

2. a) Linear and circular convolution -Using C coding b) Correlation studies (Auto and Cross correlation) - Using C coding

3. FFT Implementation using DIT (using C Coding) 4. Design of FIR filter to smoothen the sharp transition of ECG signal 5. Design of IIR filter for processing speech signals 6. Real time signal acquisition using DSK6713 through function generator 7. Real time Music signal Analysis using IIR filter

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE304 MICROCONTROLLER AND APPLICATIONS 3 0 2 4

Prerequisite ECE103 Digital Logic Design

ECE302 Computer Organization And Architecture

Objectives Describe the architecture of 8051 microcontroller and ARM processor

Develop assembly program for 8051 and ARM processor

Apply the instruction set of 8051 and ARM microcontroller to get effective programs

Design system in block level using microcontroller, memory devices, buses and other peripheral devices

Solve real life problem using microcontroller based systems

Expected Outcome

1. Describe the architectures of processors 2. Develop Assembly program applying Digital logic and mathematics

using 8051 and ARM instruction set 3. Develop ALP with minimum instructions and memory. 4. Analyze and evaluate the given program in terms of code size and

computational time 5. Design microcontroller based system within realistic constraint like

user specification, availability of components etc 6. Solve real life problem and construct a complete system as a solution 7. To integrate and build a working model using the laboratory

components and IDE tools. This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

e) an ability to identify, formulate, and solve engineering problems

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Introduction 5

Introduction to Microprocessors and Microcontrollers, Architectures[8085,8086] Intel MCS-51 family features – 8051 -organization and architecture

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Unit II Programming with 8051 10

8051 instruction set, addressing modes, conditional instructions, I/O Programming, Arithmetic logic instructions, single bit instructions, interrupt handling, programming counters, timers and Stack

Unit III MCS51 and external Interfaces 8

User interface – keyboard , LCD, LED, Real world interface - ADC, DAC, SENSORS Communication interface. Unit IV C programming with 8051 8

I/O Programming, Timers/counters, Serial Communication, Interrupt, User Interfaces- LCD, Keypad, LED and communication interfaces [RS232].

Unit V ARM processor core based microcontrollers 14

Need for RISC Processor-ARM processor fundamentals, ARM core based controller [LPC214X], IO ports, ADC/DAC, Timers.

Text Books

1. The 8051 Microcontroller and Embedded Systems: Using Assembly and C by Mazidi Muhammad Ali, Janice Gillispie Mazidi and Rolin. D. McKinlay, Second edition, 2012

Reference Books

1. Tabak Daniel, Hintz Kenneth j., “Microcontrollers: Architecture implementation and Programming”, Tata McGraw Hill, 2007

2. Andrew N.Sloss, Dominic Symes, Chris Wright, ARM Developer’s Guide. 3. UM10139 LPC214X User manual – Rev.4 – 23rd April 2012 4. Douglas V. Hall, Microprocessors and interfacing: programming and hardware, Tata

McGraw Hill, 2editon, 2007.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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MICROCONTROLLER AND APPLICATIONS LAB

List of Experiments

Programming 8051 Micro controller using ASM and C, and implementation in flash 8051 microcontroller.

1. Programming with Arithmetic logic instructions [Assembly] 2. Program using constructs(Sorting an array) [Assembly] 3. Programming using Ports [Assembly and C] 4. Delay generation using Timer[Assembly and C] 5. Programming Interrupts [Assembly and C] 6. Implementation of standard UART communication.(using hyper terminal) [Assembly and

C] 7. Interfacing LCD Display. [Assembly and C] 8. Interfacing with Keypad[Assembly and C] 9. Programming ADC/DAC [Assembly and C] 10. Interfacing with stepper motor. [Assembly and C] 11. Pulse Width Modulation. [Assembly and C]

Programming ARM Micro controller using ASM and C using simulator.

11.Programming with Arithmetic logic instructions[Assembly]

12.GPIO programming in ARM microcontroller. [ C Programming]

13.Timers prograaming in ARM Microcontroller. [C Programming]

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE306 ANTENNAS AND WAVE PROPAGATION 3 0 0 3

Prerequisite ECE202 TRANSMISSION LINES AND FIELDS

Objectives Introduce the mechanism and models for radio-wave propagation.

Discuss the fundamental antenna parameters and numerical methods to analyze and differentiate the antennas.

Design antennas and study the radiation mechanism of various antennas and antenna arrays.

Provide the principles of selection of Antennas for Modern Wireless Application.

Expected Outcome

1. Explain the wave propagation mechanisms. 2. To interpret the basic antenna parameters and radiation pattern. 3. Design and characterize the various wire and aperture antennas,

antenna arrays and broad band antennas.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

e) an ability to identify, formulate, and solve engineering problems

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

j) a knowledge of contemporary issues

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Wave Propagation

Propagation Mechanism- Reflection, refraction and Transmission, Scattering and diffraction. Propagation Model- Path Loss, Free space loss, Plane earth Loss, Link budget, Noise Modeling. Modes of propagation- Ground wave Propagation, Space wave propagation- Tropospheric- Tropospheric effects, Sky wave Propagation- Ionospheric Effects.

Unit II Antenna Fundamentals

Radiation mechanism-single wire, two wire, dipole and current distribution on thin wire.

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Radiated field components -Hertizan dipole, half wave dipole, monopole antenna. Antenna Parameters- radiation pattern, beam width, field region, radiation power density, directivity and gain, bandwidth, polarization, co polarization and cross polarization level, input impedance, efficiency, antenna effective length and area, antenna temperature. Friss Transmission formula, Radar range equation. FCC Antenna standards A and B. Measurements - radiation pattern- gain- directivity and impedance measurements.

Unit III Design of Arrays

Linear Array - Two element array, N-element linear array- broadside array, End fire array- Directivity, radiation pattern. pattern multiplication. Non-uniform excitation- Binomial, Chebyshev distribution . Planar array – Array factor, Circular array - array factor, Directivity (Qualitative study)

Unit IV Design of Antennas

Wire Antennas- long wire, V-Antenna, Rhombic antenna, Helical antenna, Yagi-Uda antenna. Frequency independent antenna - spiral and log periodic antenna. Aperture antennas - Horn antenna, Parabolic reflector antenna, Microstrip antenna. MEMS antenna.

Unit V Antennas for Modern Wireless Communications (Qualitative study)

Antennas for Terrestrial mobile communication - mobile handsets and base stations. Antennas for Satellite Communication- MSAT briefcase terminal and vehicle mounted antennas, VSAT and DBS TV antennas. Antenna for Radar systems. Adaptive antenna, RFID antenna, Ultra wideband antenna, Terahertz antenna.

Text Books

1. Balanis, “Antenna Theory - Analysis and Design”, 4/e, John Wiley & Sons, 2013. 2. J.D.Krauss, “Antenna for all Applications”, TMH, 4/e, 2010

Reference Books

1. S.R.Saunders, “Antennas and Propagation for Wireless Communication”, 2/e,John Wiley, 2007.

2. Yi Huang and Kevin Boyle, “Antenna: From Theory to Practice”, 1/e, John Wiley, 2008

3. R.S.Elliot, “Antenna Theory and Design”, IEEE Press, John Wiley, 2006. 4. H. Jasik , “Antenna Engineering Handbook” , Editor, McGraw-Hill, 1993 5. R.L.Freeman, “Reference Manual for Telecommunication engineering”, Vol. I, John

Wiley, 2002. 6. Yi Huang and Kevin Boyle, “Antenna From Theory to Practice”, 1/e, John Wiley,

2008

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE305 DIGITAL COMMUNICATION 3 0 2 4

Prerequisite ECE203 MODULATION TECHNIQUES

Objectives Describe the basic concept of Digital Communication using Functional Block Diagram

Analyze the performance of different types of encoding schemes such as Temporal Waveform Coding and power spectral density of different signaling schemes.

Analyze the performance of digital modulation and demodulation techniques and identify suitable modulation and demodulation technique for different applications based on bandwidth, data-rate and bit error rate.

Illustrate the role of ISI in base band reception techniques and show the working of Correlation Receiver and Matched Filter.

Illustrate Spread Spectrum Techniques and Multiple Access Techniques.

Expected Outcome

1. Explain the basics of Digital Communication systems. 2. Classify the different type of encoding schemes and derive the power

spectral density of different signaling schemes. 3. Justify the role of Digital Modulation and Demodulation techniques in

different application. This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

j) a knowledge of contemporary issues

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Communication System

Communication Systems - Digital Communication Systems – Functionality of Blocks, Medium classification, Performance Measure; Geometric representation of Signals, Bandwidth , Mathematical Models of Communication Channel

Unit II Baseband Formatting Techniques

Overview of Sampling, Quantization – Uniform and Non-uniform (A-law & µ-law), Encoding Techniques for Analog Sources - Temporal waveform encoding, Spectral waveform encoding, Model-based/ Parametric encoding, Comparison of speech encoding techniques. Classification of

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line codes, characteristics and power spectra of line codes

Unit III Baseband Reception Techniques

Noise in Communication Systems; Receiving Filter – Correlation type, Matched Filter type; Equalizing Filter - Signal and system design for ISI elimination, Eye Pattern analysis

Unit IV Bandpass Signal Transmission And Reception

Memory less modulation methods – BASK, BFSK, BPSK, DPSK and QPSK; Representation and Spectral Characteristics; Error performance – Coherent and Non-coherent detection systems; Non Linear Modulation Methods with memory – CPFSK, MSK and GMSK.

Unit V Spread Spectrum Techniques

Introduction – Generation of PN Sequences – Properties of PN Sequences – Direct Sequence Spread Spectrum – Frequency Hopped Spectrum

Unit VI Multiple Access Techniques

Introduction – TDM/TDMA – FDM/FDMA – CDMA – SDMA - OFDM/OFDMA

Text Books

Simon Haykin, “Digital Communication”, John Wiley, 2010

Reference Books

1. John.G. Proakis, “Fundamentals of Communication Systems”, 2nd Ed, Pearson Education, 2014

2. Amitabha Bhattacharya, “Digital Communications”, Tata McGraw Hill, Reprint 2012 3. Herbert Taub & Donald L Schilling – Principles of Communication Systems (4th Edition) –

Tata McGraw Hill, 2013 4. Digital Communications by John Proakis, Masoud Salehi , 5th edition McGraw-Hill - 2014

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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DIGITAL COMMUNICATION LAB

List of Experiments

1. Comparative Study of Pulse Code Modulation and Differential Pulse Code Modulation.

2. Comparative study of Delta Modulation and Adaptive Delta modulation. 3. Simulation of Band Pass Signal Transmission and Reception

• Amplitude Shift Keying • Frequency Shift Keying • Phase Shift Keying.

4. Performance Analysis of Band Pass Signal Transmission and Reception

• Amplitude Shift Keying

• Frequency Shift Keying

• Phase Shift Keying.

5. Implementation of Amplitude Shift Keying

6. Implementation of Frequency Shift Keying

7. Implementation of Phase Shift Keying.

8. Time Division Multiplexing: PLL (CD 4046) based synch, clock and data extraction

9. Generation of PN Sequences

10. Simulation of Direct Sequence Spread Spectrum

11. Simulation of Frequency Hopped Spread Spectrum

12. Study of TDMA, FDMA and CDMA

13. Study of Orthogonal Frequency Division Multiplexing

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE307 INFORMATION THEORY AND CODING 3 0 0 3 Prerequisite ECE305 DIGITAL COMMUNICATION Objectives Describe and analyze the information source and channel capacity

Differentiate between the uniform and non-uniform quantization Analyze the source coding techniques such as Shanan Fano Encoding, Huffman Coding, Arithmetic Coding. Apply statistical techniques for signal detection Construct the various channel coding schemes such as block codes, cyclic codes and convolutional codes.

Expected Outcome

1. Apply mathematical models that describes the behavior of information source and channel capacity and the performance of source coding and channel coding techniques

2. Solve mathematical problems in source coding and channel coding techniques and implement in Matlab.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability e) an ability to identify, formulate, and solve engineering problems i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Information Theory Introduction, Uncertainty, Information and it’s property, Entropy and its property, Joint and Conditional Entropy, Mutual Information and its property, Information measures for Continuous random variables. Unit II Channel classification and Capacity Channel capacity theorem, Continuous and Discrete Communication channels – Discrete memory less channels - channel representations - noiseless channel, lossless channels, Deterministic, Binary symmetric channel (BSC), Binary Erasure channel (BEC) and their capacities. Unit III Source Coding Techniques Coding for Discrete memory less sources: – Fixed length code words, Variable length code words, Kraft Inequality, Prefix coding, Shannon’s first , second and third theorem, Shannon binary Encoding, Shannon- Fano Encoding, Huffman Coding : minimum and maximum variance method, Arithmetic Coding, Dictionary Coding- LZ , LZW Coding Unit IV Error Control Coding Types of Errors, Types of Codes, Linear Block Codes: Error Detection and Error Correction Capabilities of Linear Block codes, Binary Cyclic codes , Encoding using Shift register,

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Syndrome Calculation, Error detection, and Error correction, Convolutional codes – Encoders and Decoders for convolutional codes, LDPC Codes, Trellis Codes, Turbo Codes ,Viterbi Coding. Unit V Detection of Signals and Channels with Noise Hypothesis testing – Baye’s criterion – Minimum error probability criterion, Neyman Pearson criterion, Minmax criterion-Maximum Likelihood detector-Wiener filter-Continuous and Discrete channels with noise Text Books

1. K. Sam Shanmugam, “Digital and Analog Communication Systems”, John Wiley and Sons, 2012.

2. Simon Haykin and Michael Moher, “Communication Systems”, John Wiley and Sons, 5/e, 2012.

Reference Books 1. Thomas M. Cover, Joy.A.Thomas,” Elements of Information Theory”, John Wiley and

Sons, 2/e, 2012. 2. Ranjan Bose,” Information Theory, Coding and Cryptography”, Tata McGraw Hill,

2012.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ECE 308 COMPUTER COMMUNICATION 3 0 2 4 Version No. 1.0 Prerequisite ECE305 DIGITAL COMMUNICATION Objectives • To make the students to understand the different layers of

ISO Network • To understand the concept of Networking. • To get to know the connectivity’s and how to interface with

network. Expected Outcome This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering e) an ability to identify, formulate, and solve engineering problems h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning j) a knowledge of contemporary issues

Unit I Data Communication Evolution of data Networks – Switching Techniques – Network Topologies – Categories of Networks – ISO/OSI Reference Model – TCP/IP Model – Inter Networking Devices – Repeaters – Hubs – Switches – Bridges: Transparent and Source Routing Bridges – Routers Unit II Data Link Layer Logical Link Control – Error Detection Techniques – ARQ protocols – Framing – HDLC – Point to Point protocol Medium Access Control – Random access Protocols – Scheduling approaches to MAC Unit III Local Area Networks Ethernet – Token Bus – Token Ring – FDDI – Virtual LAN – Wireless LAN Unit IV Network Layer Internetworking – IP Addressing – Subnetting – Ipv4 and IPv6 – Routing – Distance Vector and Link State Routing – Routing Protocols Unit V Transport Layer and Application Layer Connection oriented and Connectionless Service – User Datagram Protocol – Transmission Control Protocol – Congestion Control – Application Layer Protocols: DNS, SMTP, FTP, HTTP and World Wide Web Text Books

1. Alberto Leon-Garcia, “Communication Networks” Tata McGraw-Hill 2005 Reference Books

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1. Robert Gallager, “Data Networks”, Prentice Hall, 2004. 2. W. Stallings, Data and Computer Communications, Prentice Hall, 2004. 3. Fred Halsall, Data communications, “Computer Networks and Open systems”, Addison Wesley 2000.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

COMPUTER COMMUNICATION LAB List of Experiments

1. Demonstrate the implementation of Token Ring Network and Examine 2. The performance under different Scenarios using OPNET 3. Demonstrate the implementation of Ethernet Network and Examine 4. The performance under different Scenarios using OPNET 5. Simulation of TCP Protocol using NS-2 6. Designing a simulation model using NS-2 to analyze various aspects of the Internet

Protocol. 7. Simulation of ATM network using NS-2

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE401 OPTICAL COMMUNICATION AND NETWORKS 2 0 0 2 Prerequisite ECE305 DIGITAL COMMUNICATION Objectives To provide an in depth knowledge on various types of fibers, their

transmission characteristics, geometrical, optical, mechanical characteristics, techniques to compensate transmission impairments, power launching and coupling schemes. To describe the construction, working principle and characteristics of LEDs, LASERs, photo detectors and external modulators to suit the low loss wavelength optical communication system establishment and also to analyze noise performance at the receiver section. To introduce the concepts of optical network architecture, routing algorithms and intelligent optical networks.

Expected Outcome

1. Demonstrate the transmission, geometrical and optical and mechanical characteristics of fiber.

2. Choose fiber, optoelectronic components to design, analyze and evaluate various optical communication systems

3. Establish optical communication systems and integrate it as part of the telecommunication system to speed up the transmissions.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering e) an ability to identify, formulate, and solve engineering problems h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning j) a knowledge of contemporary issues

Unit I FIBRE OPTIC SYSTEMS Analog and Digital fiber optic systems and associated Sources/Transmitters Optical Modulators- Receiver -p–i–n Receivers - APD Receivers. Fibers- Non dispersion-Shifted Fiber - Dispersion-Shifted Fiber- Nonzero Dispersion-Shifted Fiber- Link impairment considerations and system design. Regenerators –Optical amplifiers- Optical Amplifiers - Stimulated Emission - Spontaneous Emission - Erbium-Doped Fiber Amplifiers - Raman Amplifiers -Semiconductor Optical Amplifiers -Crosstalk in SOAs. Unit II SONET-SDH Fiber networks evolution as SONET/SDH Multiplexing - SONET/SDH Layers -SONET Frame Structure -SONET/SDH Physical Layer- Elements of a SONET/SDH Infrastructure - Network Survivability - Basic Concepts - Protection in SONET/SDH - Point-to-Point - Self-Healing Rings -Unidirectional Path-Switched Rings - Bidirectional Line-Switched Rings. Unit III WDM LIGHT WAVE SYSTEM WDM -WDM Components -Tunable Optical Filters-Multiplexers and Demultiplexers - Add–Drop Multiplexers - Star Couplers- Wavelength Routers- Optical Cross-Connects - Wavelength Converters- - WDM Transmitters and receivers - Nonlinear Raman Crosstalk -

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Stimulated Brillouin Scattering - Cross-Phase Modulation - Four-Wave Mixing – Dispersion -Management- Precompensation Schemes- Post compensation Techniques -Fiber Bragg Gratings- Optical Phase Conjugation- PMD Compensation. Unit IV SINGLEWAVELENGTH SYSTEMS Optical Time-Division Multiplexing –Bit interleaving-Packet Interleaving- Subcarrier Multiplexing -Analog SCM Systems- Digital SCM Systems - Code-Division Multiplexing - Direct-Sequence Encoding - Spectral Encoding. Unit V ALL OPTICAL TRANSPORT AND ACCESS

NETWORKS:

The Optical Transport Network - Introduction - OTN Network Layers - FEC in OTN - OTN Frame Structure - OPU-k - ODU-k - OTU-k-The Optical Channel - Optical Channel Carrier and Optical Channel Group –Non associated Overhead – Mapping GFP -frames in OPU-k-OTN and DWDM Access WDM Systems – The General PON – CWDM PON- TDM PON-TDM PON Versus WDMPON Text Books

1. Rajiv Ramaswami ,Kumar N.Sivarajan, Galen H. Sasaki “Optical networks” -3rd edition Morgan Kaufmann publishers 2010

2. Ghatak K. Thyagarajan, “Introduction to Fiber Optics”, Second Edition, Cambridge University Press, 2004.

Reference Books 1. John M. Senior,” Optical fiber communication principles and practice”, 3rd edition,

PHI, 2010. 2. Govind .P.Agrawal, “Fiber optic communication system”, 3rd edition John Wiley

and sons, 2010. 3. Gerd Keiser, “Optical Fiber Communications” McGraw-Hill, 4th Edition, 2008. 4. Djafar k.mynbaev and Lowell.l.scheiner, “Fiber optic communication

Technology”, Pearson education, 2006.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %

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ECE402 MICROWAVE ENGINEERING 3 0 2 4

Prerequisite ECE306 ANTENNAS AND WAVE PROPAGATION

Objectives • Analyze the passive circuits using Scattering parameters. • Understand the various types of microwave semiconductor

devices • Design the microwave filters and implement in micro strip

form • Use smith chart to design amplifier using matching network

Expected Outcome

1. Distinguish microwave IEEE frequency bands based on their application(A)

2. Analyze various microwave networks to study its characteristics (A,C,E)

3. Perform design and simulation of microwave circuits(A,C,E,H) 4. Infer and evaluate the performance of designed microwave

networks (A,C,E) 5. Distinguish the requirement of microwave source for various

applications 6. Determine stability condition and design microwave amplifier.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability e) an ability to identify, formulate, and solve engineering problems h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning j) a knowledge of contemporary issues

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Microwave measurement and application

Microwave frequencies (IEEE Standards), Microwave measurements- Guide wavelength VSWR-Frequency, Impedance. Applications of Microwaves: Microwave Oven, Radar , Wireless applications

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Unit II Microwave Network Analysis

Impedance and admittance matrix- Reciprocal Networks and Lossless networks, Scattering matrix- The transmission matrix, Signal Flow graph – Decomposition of Signal Flow graphs.

Unit III Microwave Sources and semiconductor devices

Microwave Tubes: Travelling Wave Tube (TWT), Klystron oscillator, Reflex Klystron, Magnetron. Semiconductor Devices: Tunnel diode, Gunn diode, IMPATT-TRAPATT-BARITT diodes, microwave transistors Unit IV Microwave Passive Components(Wave Guide)

Power dividers: E-Plane Tee, H-Plane Tee, Magic Tee, Directional Coupler.

Ferrite Devices: Phase Shifter, Isolator, Circulator, Microwave Resonators

Wave guide cavities: Rectangular Cavity, Circular Cavity Unit V Design of Microwave Passive and active Circuits :

Microstrip lines : Basics of Microstrip lines. Power Dividers: T junction, resistive power divider, Wilkinson Power Divider, Branch Line Coupler, Rat race ring (180o hybrid coupler). Microwave Filters: Low Pass Filter design (Butterworth and Chebyshev) - Insertion loss method: Richard’s Transformation, Kuroda’s identities, Stepped impedance low pass filter. Microwave Active circuits Microwave amplifiers, Stability, Single stage transistor amplifier, Maximum gain method

Text Books

1. D. M. Pozar, “ Microwave engineering”, John Wiley, 4/e, 2010

2. Samuel Y. Liao, “Microwave Devices and Circuits”,3/e,PHI, New Delhi,2002

Reference Books

1. Robert E.Coughlin, “Foundations of Microwave Engineering”, John Wiley, 3/e,2004 2. Annapurna Dasand S, K. Das, “Microwave Engineering”, Tata Mc Graw-Hill, New

Delhi,2004 3. O.P. Gandhi, “Microwave Engineering and applications”, Pergamon Press, NY, 2003. 4. M.L. Sisodia, “Microwave active devices- Vaccum and Solid States” New Age

International, 2004. 5. M.L. Sisodia, “Microwave circuit and Passive devices” New Age International, 2004.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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MICROWAVE ENGINEERING LAB

List of Experiments

Design & Simulation using Software

1. Branch Line Coupler 2. Power Divider 3. Filter 4. Amplifier 5. Oscillator 6. Circuit Mixer 7. Low Noise Amplifier

Evaluation: Continuous Assessment – 50% ; Term End Examination – 50 %

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ECE301 VLSI SYSTEM DESIGN 3 0 0 3

Course Prerequisites

ECE103 Digital Logic Design /

ECE101 Electron Devices and Circuits

Objectives To illustrate the basic concepts of modern VLSI circuit design.

Describe the fundamental principles underlying digital design using CMOS logic and analyze the performance characteristics of these digital circuits.

Discuss the basic concepts of Verilog HDL and use it to describe combinational and sequential circuits HDL at different abstraction levels.

Design the synthesizable digital sub-system components using Verilog HDL.

Verify that a design meets its functionality, timing constraints, both manually and through the use of computer-aided design tools.

Develop problem-solving skills in order to be able to successfully approach a digital design project of medium to high complexity in the final semester.

Expected Outcome

1. apply knowledge of mathematics, science, and engineering in the design, and analysis and modeling of digital integrated circuits.

2. design and analyze the performance (Speed, Power) of CMOS digital integrated circuits for different design specifications.

3. identify and interpret the design towards realizing digital IC design. 4. describe digital design using a hardware description language. 5. design and conduct experiments in digital design using Verilog HDL

and able to illustrate the outcome of the design. 6. use modern EDA tools to simulate and synthesize the digital designs.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

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Unit 1 CMOS Logic Design

Introduction to VLSI Design. Review of MOS Transistor Theory: nMOS, pMOS Enhancement Transistor, ideal I-V characteristics, C-V characteristics, Non-ideal I-V effects. CMOS logic: Basic gates, Complex Gates, Multiplexer and Flip-flop. Unit 2 Circuit characterization and performance estimation

DC transfer Characteristics of CMOS inverter, Circuit characterization and performance estimation: Delay estimation, Logical effort and Transistor Sizing. Power Dissipation: Static & Dynamic Power Dissipation. Unit 3 Stick Diagram and Layout Techniques

CMOS nwell, pwell process, stick diagram for Boolean functions using euler theorem. Layout basics and techniques for Inverter, NAND and NOR gate.

Unit 4 Introduction to Timing Analysis

Introduction to Static timing analysis. Setup Time, Hold Time. Calculation of critical path, slack, setup and hold time violations.

Unit 5 Sub-System Design

Arithmetic Circuits in CMOS VLSI. Design of Adders (RCA,CSA,CLA), Multipliers (both signed and Unsigned Booth, Baugh wooley ), Barrel shifter

Text Books

1. Neil H Weste, Davis Harris, CMOS VLSI Design: A Circuits and Systems Perspective, 4/e, Addison Wesley, 2011.

2. John P.Uyemura, “CMOS Logic Circuit Design” , Springer International Edition, 2013.

Reference Books

1. Jan M. Rabaey, Anantha Chandrakasan, Borivoje Nikolic, Digital Integrated Circuits: A Design Perspective, Prentice Hall India, 2nd Ed, 2011.

2. S. Ramachandran, Digital VLSI Systems Design, Springer, 2007

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE403 WIRELESS MOBILE COMMUNICATION 3 0 0 3

Prerequisite ECE 308-COMPUTER COMMUNICATION

Objectives • Interpret the various spectrum allocation standards and assigned Bandwidth allocation for various wireless and cellular standards.

• Apply the constraints such as fixed bandwidth channel spacing and signal to noise ratio in the cellular systems

• Specify the need of OFDM techniques for wireless communication.

• Illustrate the features of 1G, 2G and 3G and next generation standards using fundamentals of radio telephony.

• Describe the various kinds of mitigation techniques used for multipath propagation.

Expected Outcome Student will be able to

• To know the cellular structure developed for wireless mobile communication.

• To understand how signal propagation is carried out in mobile environment with the help of large scale propagation models and small scale models

• To have a complete knowledge on various standards used in Wireless Communication.

• To study about various mitigation techniques for multipath propagation.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering e) an ability to identify, formulate, and solve engineering problems h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

Unit I Cellular Concept 8

Cellular concept - Frequency reuse - channel assignment strategies - hand off strategies - interference & system capacity - trunking& grade of service – Improving coverage and capacity in cellular system.

Unit II Mobile Radio Propagation 10

Free Space Propagation Model – Three Basic Propagation mechanism – Reflection, Diffraction and Scattering – Ground Reflection (Two Ray) model - Link Budget design

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using Path Loss model – Outdoor and Indoor Propagation models - Small scale multipath propagation –Parameters of mobile multipath channels – Types of small scale fading –Fading effects due to Multipath time delay spread and Fading effects due to Doppler spread - Rayleigh and Rician distribution.

Unit III OFDM for Wireless Communication 10

Overview of Linear Modulation Techniques– GMSK – Multicarrier Modulation –OFDM principle – Transceiver implementation, Cyclic prefix, Intercarrier interference, PAPR.

Unit IV Wireless standards 10

Introduction to wireless standards – 1G-AMPS, 2G. GSM services and features, System architecture, Radio subsystem, channel types, Frame structure for GSM, Signal Processing in GSM - CDMA (IS-95) – Forward and Reverse CDMA Channel – GPRS – Advanced Wireless standards.

Unit V Multipath Mitigation Techniques 7

Diversity – Types of Diversity – Diversity combining techniques: Selection, Feedback, Maximal Ratio Combining and Equal Gain Combining – Rake receiver – MIMO systems – Spatial Multiplexing, System Model and Channel state information.

Unit VI Security in Wireless Networks

Introduction-Requirements-Services-Mechanisms-Algorithms

Text Books

• Rappaport,T.S., “Wireless communications”, Pearson Education, 2010. Reference Books

1. David Tse and PramodViswanath, “Fundamentals of Wireless Communication”, Cambridge University Press, 2011.

2. Van Nee, R. and Ramji Prasad, OFDM for wireless multimedia communications, Artech House, 2000.

3. Jochen Schiller, “Mobile Communication”, Pearson Education, 2012 4. Andreas.F. Molisch, “Wireless Communications”, John Wiley India, 2011. 5. Lee,W.C.Y., Mobile Communication Engineering, McGraw Hill, 2008. 6. Vijay. K. Garg, “Wireless Communication and Networking”, Morgan Kaufmann

Publishers, 2010. 7. Kaveh Pahlavan, Prashant Krishnamoorthy, Principles of Wireless Networks, PHI,

2002

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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Course Code: ECE399

IN-PLANT TRAINING

L 0

T 0

P 2

C 2

Course Prerequisites

Completion of minimum of Two semesters

Objectives: Designed to expose the students to industry environment and work there as trainees.

Expected Outcome:

This course meets the following student outcomes

d) an ability to function on multidisciplinary teams

g) an ability to communicate effectively

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

j) a knowledge of contemporary issues

Contents Four weeks of work at industry site Supervised by an expert at the industry

Method

Students have to maintain a written record of the assignments, progress and accomplishments. They have to submit a report at the end of this training. An oral presentation on their experiences and the knowledge gained during their work.

Evaluation • Oral viva-voce (50 %) • Report (50%)

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Course Code: ECE498

COMPREHENSIVE EXAMINATION

L 0

T 0

P 0

C 2

Course Prerequisites

Minimum of Six semester of courses

Objectives:

Designed to test the students on the basics of electrical engineering concepts, and tools, and the process of identifying and solving engineering problems.

Expected Outcome:

This course meets the following student outcomes

a) ) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainabilit y

g) an ability to communicate effectively

j) a knowledge of contemporary issues

Contents The major topics covered in the program core and elective subjects have to be reviewed by the student.

Evaluation • Examination - 100%

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Course Code: ECE499

PROJECT WORK

L 0

T 0

P 20

C 20

Course Prerequisites Minimum of 154 credits should be completed

Objectives: To apply the concepts and theories learned throughout the program.

Expected Outcome: This course meets of the following outcomes:

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs

within realistic constraints such as economic, environmental, social, political,

ethical, health and safety, manufacturability, and sustainability

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

f) an understanding of professional and ethical responsibility

g) an ability to communicate effectively

k) an ability to use the techniques, skills, and modern engineering tools necessary

for engineering practice.

Contents

The Project Work must involve engineering design with realistic constraints. It must also include appropriate elements of the following: engineering standards, design analysis, modeling, simulation, experimentation, prototyping, fabrication, correlation of data, and software development.

Method:

1. Can be individual work or a group project, with maximum of 3 students. 2. In case of group project, the individual project report of each student should specify the individual’s contribution to the group project. 3. Carried out inside or outside the university, in any relevant industry or research institution.

Mode of Evaluation

• 1

st and 2

nd Internal review : 40 %

• Thesis :10 %

• Final viva-voce : 50 %

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Program Elective Courses

Course Syllabi

Course Code

Course Title Credits

ECE205 Electrical and Electronic Measurements 3

ECE302 Computer Organization and Architecture 3

ECE404 Digital Image Processing 3

ECE309 Bio Medical Instrumentation and Analysis 3

ECE405 Satellite Communication 3

ECE406 Embedded System Design 3

ECE209 Introduction to Nanoscience and Nanotechnology 3

ECE407 Neural Networks and Fuzzy Control 3

ECE310 Digital System Design 3

ECE410 Wireless Sensor Networks 3

ECE408 Advanced Microcontrollers (ARM, DSP) 3

EEE202 Opto Electronics 3

MAT205 Applied Numerical Methods 4

ECE411 Radar and Navigation Aids 3

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ECE 205 ELECTRICAL AND ELECTRONIC MEASUREMENTS

3 0 0 3

Prerequisite - Objectives: To provide basic understanding of electrical and electronic

measurement systems.

To give a thorough knowledge of varieties of measuring instruments, its operating principles and limitations.

Expected Outcome:

1. Measure and analyze different electrical parameters. 2. Calibration techniques in the process of measurement. 3. Handle different types of Oscilloscopes and recorders. 4. Using wave analyzers, spectrum analyzers for the measurement of

frequency, phase angle etc.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Error Analysis and Control

Static and Dynamic Characteristics of a Measurement System, Error analysis in measurement systems – Static and dynamic error, Bias and Precision Error, Sources of Errors in Experimental testing, Sources of Elemental Error, Error Control.

Unit II Electrical Measurements I

Current and Voltage measurement instruments - PMMC, Moving coils, moving iron, dynamometer type, rectifier type, and thermal instruments. Hall effect Wattmeter, Thermal type wattmeter, Compensated wattmeter, Single and three-phase power measurement. Energy measurement and energy meters, Magnetic measurements, Maximum demand meter, P.F. meter, High voltage measurements

Unit III Electronic Measurements I

Resistive measurement - Resistive Potentiometric measurements, Strain Gauge measurements- Force and Torque measurement, Resistance thermometers- RTD and Thermisters. Capacitive measurement design - capacitive Pickups, Differential capacitive pressure transducers. Inductive measurement - Differential Transformers, LVDT, Variable reluctance pickups, RVDT. Thermocouple, Piezoelectric Transducers- Acceleration measurements.

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Unit IV Electronic Measurements II

Solid State measurement Design and Instruments- BJT, FET and MOSFET Voltmeter circuits, Solid State Multi-meter, Digital Multi-meter. Signal Generation: Audio and Radio frequency signal generators, AM signal generator, Function generator. Wave analyzer, Spectrum analyzer, Frequency Measurement, Measurement of period and time, Phase angle measurement.

Text Books David A. Bell, ‘Electronic Instrumentation and Measurements’, 2/e, Prentice Hall Inc., New Delhi, Reprint 2011

Cooper W.D and Helfrick A.D, ‘Electronic Instrumentation and Measurement Techniques’, 4/e, Pearson Education, 2005

Reference Books 1. Robert A. Witte, "Electronic Test Instruments - Analog and Digital Measurements",

Pearson Education, 2/e, 2002

2. Ernest O Doebelin and Dhanesh N. Manik, ‘Measurement Systems Application and Design’ 5/e, McGraw Hill. 2007

3. Golding E.W and Widdis F.G., ‘Electrical Measurements and Measuring Instruments’, 5/e, Wheeler and Co., New Delhi, 2000.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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CE302 COMPUTER ORGANIZATION AND ARCHITECTRE

3 0 0 3

Prerequisite ECE103 Digital Logic Design Objectives: • To demonstrate the application of discrete mathematics, Boolean

algebra, and simple digital design to the field of computers and computer architecture. • To describe the functioning of the control unit and look at the different implementations of the control unit (hardwired and microprogrammed) • Recognize and analyze the basics of hierarchical memory and virtual memory. • To describe I/O system and its interconnection with CPU and memory. • To expose the learners the different architectural and organizational design issues that can affect the performance of a computer such as Instruction Sets design, Pipelining, RISC architecture, and Superscalar architecture. • Recognize and illustrate parallel architectures and interconnection networks

Expected Outcome:

• The knowledge of how previous engineering science curricula have been applied in the field of computers and computer architecture. • The ability to perform basic computer system component designs, defines an instruction set architecture and assembly language for the computer system, analyze the performance of the computer and identify a range of performance enhancements. • An ability to engage in lifelong learning of the computing system performance and architecture evolution. • A knowledge of contemporary issues related to the architecture, design, implementation and use of Computers. This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I COMPUTING SYSTEMS- AN INTRODUCTION

Definitions - Organization and Architecture, Structure and Functional blocks, Bus interconnection, designing for Performance, Structure of IAS computer

Unit II CENTRAL PROCESSING UNIT

Register organization, Arithmetic and Logic Unit- numbering systems, Integer Representation, Integer Arithmetic – Addition , 2’s Complement subtraction, Multiplication and division, Floating point Representation and Arithmetic Instruction set, Addressing

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modes, Data path implementation, Register Transfer Notation (RTN), Abstract RTN, and Concrete RTN, Control Unit - Hardwired control unit and Micro instruction, sequencing and execution

Unit III MEMORY SYSTEM & I/O ORGANIZATION

Semiconductor RAM memories-Internal organization of Memory Chips, SRAM, DRAM, Read-Only memories-ROM, PROM,EPROM, EEPROM ,Secondary storage- magnetic disk, optical memory. Cache Memories-Mapping Function-Direct, Set Associative, (Replacement algorithms), Performance consideration-Interleaving, Hit Rate and Miss Penalty. Virtual memory - Address translation, Paging and segmentation.

Unit IV I/O Organization

Interfacing I/O Devices with CPU- Programmed I/O, Interrupt driven I/O, DMA controlled I/O OPERATING SYSTEM SUPPORT Overview, Scheduling-FCFS, SJF, Priority, Mutual exclusion, Memory management.

Unit V COMPUTING SYSTEM PERFORMANCE AND ARCHITECTURE EVOLUTION

Von-Neumann vs. Harvard architectures, Instruction Cycle- Fetch, Decode, Execute Decode, Moore’s law, RISC -Instruction execution Characteristics, use of a large register file, compiler-based registers optimization, pipelining and Pipeline hazards, No. of Pipeline stage, Performance consideration .Instruction level parallelism-overview, Design issues, Super Scalar Processors, VLIW

Unit VI MULTIPROCESSORS

Processor level parallelism-Dependency, Flynn taxonomy, Memory organization for Multiprocessors system, Symmetric Multiprocessor, Cache Coherence and The MESI Protocol

Text Books 1. Computer Organization and Architecture - William Stallings 9/e, Pearson/PHI 2013

2. Computer Systems Architecture - M.Moris Mano, 3/e, Pearson/PHI 2007

References 1. David A. Patterson, John L. Hennessy,Computer Organization and Design-the hardware/software interface – 5/e, Morgan Kaufmann Publishers,2013

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE404 DIGITAL IMAGE PROCESSING 3 0 0 3 Prerequisite ECE 303 DIGITAL SIGNAL PROCESSING

Objectives: • To provide introduction to students the fundamentals of Digital Image Processing system and its breath and depth of the field.

• To enable the students acquaint with principles of image acquisition system and imaging technologies are used in various fields.

• To provide in depth knowledge to students on various unitary form of Image transforms techniques and its practical realization.

• To analyze the spatial and frequency domain enhancement techniques and students to apply appropriate algorithms to perform image enhancement, image restoration, image segmentation and image compression.

• To Design a typical digital image processing for specific application like Machine vision, Vision based sensing and control for automobiles, remote sensing, and medical image diagnostics etc.

• To demonstrate and design a typical digital image processing systems for real time problems.

Expected Outcome:

Student will be able to

• describe and interpret the basic elements of digital image processing, Design and solve the specific analysis using various image transforms for a given image

• apply and analyze the spatial and frequency domain enhancements on given input images

• design and implement filter like operations with in the real time constraints.

• Design a typical digital image processing for specific application like Machine vision, Vision based sensing and control for automobiles, multimedia, remote sensing, and medical image diagnostics etc.

• contribute Image processing tasks in interdisciplinary projects like automotive systems, Communication , Biomedical, space, defence, Multimedia and virtual reality etc.,able to solve variable resolution and refreshing rates for real time image processing system

• decide and predict consequences of information sharing while dealing with medical and defence related images

• present seminars on their focused area • assess the impact of digital image processing system in every

walks of life • assess and analyze the developments of digital image processing

to improve the existing techniques used for various application • estimate and compare the developments of real time imaging

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system • Design, analyze and implement advanced image processing and

compression techniques for satellite, remote sensing and medical engineering.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

f) an understanding of professional and ethical responsibility

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

j) a knowledge of contemporary issues

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Fundamentals

Need for DIP- Fundamental steps in DIP – Elements of visual perception -Image sensing and Acquisition – Image Sampling and Quantization – Imaging geometry, discrete image mathematical characterization.

Unit II Image Transforms Two dimensional Fourier Transform- Properties – Fast Fourier Transform – Inverse FFT- Discrete cosine transform and KL transform.-Discrete Short time Fourier Transform- Wavelet Transform- Discrete wavelet Transform- and its application in Compression.

Unit III Image Enhancement Spatial Domain: Basic relationship between pixels- Basic Gray level Transformations – Histogram Processing – Smoothing spatial filters- Sharpening spatial filters.

Frequency Domain: Smoothing frequency domain filters- sharpening frequency domain filters- Homomorphic filtering...

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Unit IV Image Restoration Overview of Degradation models –Unconstrained and constrained restorations-Inverse Filtering- Wiener Filter.

Unit V Feature Extraction Detection of discontinuities – Edge linking and Boundary detection- Thresholding- -Edge based segmentation-Region based Segmentation- matching-Advanced optimal border and surface detection- Use of motion in segmentation. Image Morphology – Boundary descriptors- Regional descriptors.

Text Books 1. Rafael C.Gonzalez & Richard E.Woods – Digital Image Processing – Pearson

Education- 3/e – Reprint 2014. 2. Anil.K.Jain – Fundamentals of Digital Image Processing- Pearson Education, 9th Reprint, 2002.

References 1. B.Chanda & D.Dutta Majumder – Digital Image Processing and Analysis – Prentice

Hall of India – 2006 2. William K. Pratt – Digital Image Processing – John Wiley & Sons, 4/e ,2007

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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CE 309 BIO MEDICAL INSTRUMENTATION AND

ANALYSIS 3 0 0 3

Prerequisite ELECTRICAL AND ELECTRONIC MEASUREMENTS

Objectives: • Explain the human anatomy and physiology and the systems related

to human body

• Describe the electrical model of different bio electrodes used to capture electrical signals and design of amplifiers with high gain and high isolation used for bio- applications.

• Introduce new technologies in diagnostic and clinical applications.

Expected Outcome:

Student will be able to

• Design amplifiers circuits with high gain and high isolation used for bio applications.

• Design an instrument system for electro physiological applications • Troubleshoot the shortcomings of electro physiological

instruments. • Comprehend the operation of various bio-medical instruments

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

b) an ability to design and conduct experiments, as well as to analyze and interpret data

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

f) an understanding of professional and ethical responsibility

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

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k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Concept of Medical Instrumentation

The origin of biopotentials, Measurement of biopotentials, Examples of biopotential electrodes and signals, Microelectrodes, Biopotential amplifiers. Random noise, structured noise, and physiological interference, Stationary versus nonstationary process, Noise in event related potential

Unit II Cardiovascular Measurement Measurements of Blood Pressure- Diastolic & Systolic measurement by invasive and non invasive methods - Ultra sound, Spygmomanometer Automated methods - direct methods.

Blood flow: Electro-magnetic, Ultrasound, Blood cell counters. Blood flow, Doppler flow measurement, Cardiac output. Electrocardiography, Phonocardiography, Plethysmography, Cardiac pacemaker & Computer applications.

Unit III Noises in ECG & Filters at Treatment

High frequency noise, motion artifact in ECG, Power-line interference in ECG, Maternal interference in fetal ECG, Muscle – Contraction interference in VAG Signals, Time domain filters- Synchronized averaging, Moving-average filters, Frequency domain filters – Removal of high frequency noise: Butterworth LPF, Removal of low frequency noise: Butterworth HPF.The P, QRS, and T waves in the ECG, Derivative-based methods for QRS detection, The Pan- Tompkins algorithm for QRS detection

Unit IV Adaptive Filters & Noise Canceling

Optimal filtering- The Wiener filter, the adaptive noise canceller, The least-mean squares adaptive filter, The recursive least square adaptive filter, Selecting an Appropriate filter,

Application: Maternal – Fetal ECG. Noise Canceling Method to Enhance ECG Monitoring. Fetal ECG Monitoring.

Unit V Measurement of Electrical activities Electroencephalograph, Electromyography & their Interpretation, Detection of EEG rhythms, Template matching for EEG spike and wave detection, Detection of EEG Spike and wave complexes using Matched filter, Homomorphism filtering.

Frequency analysis of murmurs to diagnose valvular defects, The Fourier Spectrum, Estimation of Power Spectral Density Function, Estimation of autocorrelation function, Synchronized averaging of PCG Spectra, Moments of PSD functions, Spectral Power Ratios

Text Books 1. Rangaraj M. Rangayyan, “Biomedical Signal Analysis – A case study

ApproacJohn Wiley & Sons, 2/e, 2012. References

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1. Khandpur R.S.,“Handbook of Biomedical Instrumentation”,Tata McGraw Hill, 1990.

2. Harry E. Thomas, “Handbook of Automated Electronic Clinical Analysis, Reston Publishing Company”, Virginia, 1979.

3. Richard A. Normann, “Principles of BioInstrumentation”, John Wiley, 1988. 4. Richard Aston, “Principles of Biomedical Instrumentation”, Merrill Publishing,

1991. 5. Joseph J. Carr & John M. Brown, “Introduction to Biomedical Equipment

Technology”, 4/e, Prentice Hall, 2008 6. Leslie Cromwell, Weibell, Erich A. Pfeiffer, “Biomedical Instrumentation and

Measurements”, 2/e, Prentice Hall of India, 2002. 7. D.C.Reddy, Biomedical Signal Processing- Principles and Techniques, Tata

McGraw-Hill, 2005.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE 405 SATELLITE COMMUNICATION 3 0 0 3 Prerequisite ECE 305 Digital Communication

Objectives: • To get in depth knowledge of communication through satellite • To know the intricacies involved • To understand the design criterion

Expected Outcome:

On completion of the course the student shall be able to

• Identify the required specifications for a complete satellite subsystem.

• Summarize the tracking and monitoring systems operated in the earth station.

• Interpret the frequency and multiple access techniques required for a typical communication.

• Understand the role of satellite communication in advance communication technologies.

• Build a satellite model with all the required parameters to operate for a specific engineering application

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

h) the broad education necessary to understand the impact of engineering solutions in a i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

Unit I Elements of Orbotal Mechanics

Equation, Orbital elements, orbital perturbation; Tracking and orbital determination, orbital correction / control Unit II Elements of Communication Satellite Design

Space environment, Spacecraft configuration, spacecraft subsystems, payload, Reliability considerations spacecraft integration and testing.

Unit III Multiple Access Techniques

FDM-FM-FDMA, TDMA, SSMA / CDMA, RANDOM MULTIPLE access techniques; packet switching and packet satellite networks. Satellite on broad processing an switching.

Unit IV Satellite Link Design Types of systems: BSS, Performance requirements and standards for Telephony, TV and data. Performance impairments; Noise, interference, inter modulation. Design of typical satellite links

Unit V Domestic Satellite Systems The INSAT system, International system: INTELSAT, IMMARSAT, Satellite based

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personal communication LEO, ICO, CEO Systems.

Text Books 1. D. Roddy, “Satellite Communications”, Prentice Hall, 4th edition, copyright, 2008.

2. T. Pratt and C.W. Boastian, “Satellite Communication”, 2nd edition, John Wiley & Sons, 2002.

References 1. Yunus A. Cengel, (2010), Thermodynamics: An Engineering Approach, 7th edition, Tata McGraw-

Hill Publishing Company Ltd.

2. Y.V.C.Rao, (2004), An Introduction to Thermodynamics, Universities Press. 3. C. P. Arora, (2005) Thermodynamics, Tata McGraw-Hill Publishing Company Ltd. 4. David R. Gaskell, (2003), Introduction to Thermodynamics of Materials, Taylor and Francis Publisher..

5. M. Achuthan, , (2013), Engineering Thermodynamics, 2nd edition, Prentice Hall India Limited. 6. Eastop, (2004), Applied Thermodynamics for Engineering Technologies, Addison-

Wesley Logman Limited.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE 406 EMBEDDED SYSTEM DESIGN 3 0 0 3

Prerequisite ECE304 MICROCONTROLLER & APPLICATIONS

Objectives: • Ability to understand comprehensively the technologies and techniques underlying in building an embedded solution to a wearable, mobile and portable system.

Expected Outcome:

Student will be able to

At the end of the course the students will be able to

• Define an embedded system and compare with general purpose System. • Appreciate the methods adapted for the development of a typical

Embedded system. • Get introduced to RTOS and related mechanisms.

This course meets the following student outcomes a) an ability to apply knowledge of mathematics, science, and engineering c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability e) an ability to identify, formulate, and solve engineering problems k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Introduction to Embedded System 07 hours

Embedded system processor, hardware unit, soft ware embedded into a system, Example of an embedded system, Embedded Design life cycle, Embedded System modeling [flow graphs, FSM, Petri nets], Layers of Embedded Systems.

Unit II Processor and Memory Organization 10 hours

Bus Organization, Memory Devices and their Characteristics, Instruction Set Architecture [RISC, CISC], Basic Embedded Processor/Microcontroller Architecture [8051, ARM, DSP, PIC], memory system architecture [cache, virtual, MMU and address translation], DMA, Co-processors and Hardware Accelerators, pipelining.

Unit III I/O Devices and Networks 10 hours

I/O Devices[Timers, Counters, Interrupt Controllers, DMA Controllers, A/D and D/A Converters, Displays, Keyboards, Infrared devices], Memory Interfacing, I/O Device Interfacing [GPIB, FIREWIRE, USB, IRDA], Networks for Embedded systems (CAN, I2C, SPI, USB, RS485, RS 232), Wireless Applications [Bluetooth, Zigbee].

Unit IV Operating Systems 10 hours

Basic Features of an Operating System, Kernel Features [polled loop system, interrupt driven

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system, multi rate system], Processes and Threads, Context Switching, Scheduling[RMA, EDF, fault tolerant scheduling], Inter-process Communication, real Time memory management [ process stack management, dynamic allocation], I/O[synchronous and asynchronous I/O, Interrupts Handling, Device drivers], RTOS [ VxWorks, RT-LINUX],

UNIT V Embedded System Development 08 hours

Design Methodologies[UML as Design tool, UML notation, Requirement Analysis and Use case Modeling],Design Examples[Telephone PBX, Inkjet Printer, PDA ,Elevator Control System, ATM System], Fault-tolerance Techniques, Reliability Evaluation Techniques.

References 2. Wayne Wolf “Computers as components: Principles of Embedded Computing System

design” The Morgan Kaufmann Series in Computer Architecture and Design, 2012. 3. Jane W. S., Liu, “Real time systems”, Pearson Education, 2004. 4. Raj Kamal, “Embedded systems Architecture, Programming and design”, Second Edition,

2008. 5. Steve Heath , “Embedded Systems Design”, EDN Series ,2003.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE 209 INTRODUCTION TO NANOSCIENCE AND

NANOTECHNOLOGY 3 0 0 3

Prerequisite PHY 101 Modern Physics

Objectives: To understand the basic concepts involved in Nanoscience and to gain knowledge about various methods of synthesis, characterization and applications in Nanotechnology.

Expected Outcome:

On completion of the course the student shall

• Have a clear understanding the fundamental concepts for Nanoscience • Be aware of the synthesis methods for various important Nanomaterials • Have knowledge of the Nanoscale Characterization techniques • Get an appreciation of applications of Nanotechnology in various fields of

Science and Engineering. This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

d) an ability to function on multidisciplinary teams

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

Unit I Basic Concepts

Basic properties of Conductors, Insulators, and Semiconductors, Band diagrams concept of typical semiconductors, Basic Chemistry Concepts- Physical aspects, Bonding, Basics in Quantum Mechanics- Wave-particle duality, Heisenberg Uncertainty Principle, Schrödinger wave equation and its Applications, Quantum confinement in 0-D, 1-D and 2-D; Effects of the nanometer length scale- Change in properties

Unit II Fabrication methods

Top-down processes- Micro machining, ball milling, Optical lithography, E Beam lithography. Bottom-up processes- Physical Vapour deposition, chemical vapour deposition, self assembly, Molecular beam epitaxy, sol-gel.

Unit III Important Nanomaterials Basic Types of Nanostructures- Carbon Nanotubes, Nanowires, Quantum Dots, Nanoclusters; Carbon Nanotubes- Synthesis, Electronic properties, Mechanical properties; Nanoparticles- Colloidal nanoparticle crystals, Functionalized nanoparticles.

Unit IV Characterization techniques

Classification of characterization methods, Different Microscopy techniques-Light Microscopy, Principle & Resolution, Electron Microscopy- Scanning Electron Microscopy (SEM), Principle

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& Resolution, Scanning Probe Microscopy- Scanning Tunneling Microscopy (STM) & Atomic Force Microscopy (AFM), Principle & Resolution

Unit V Applications

Nanoelectronics- Present and its challenges, Si Technology and its limitations, Nanoscale Devices, CNT based devices, Graphene based devices, Single Electron Devices, Organic Field-effect transistors Spintronics; Nanophotonics- Photonic Crystals and their applications, Near field optics, Bio-nanotechnology- DNA as a nanotechnology building block, Pharmaceutics- Targeted Drug Delivery, NEMS- Molecular switches.

Text Books 1. “Nanoscale Science and Technology”, Edited by R.W. Kelsall, I.W. Hamley and M.

Geoghegan, John Wiley and Sons, 2010. 2. “Introduction to Nanotechnology”, Charles P. Poole and Frank J. Owens, John Wiley

and Sons, New Delhi, 2010. References

1. “Nanotechnology”, Timp Gregory, Springer, New York, 2012.

2. “Handbook of Nanostructured materials and Nanotechnology: Synthesis and Processing”, Hari Singh Nalwa, Academic Press, 2010.

3. “From instrumentation to nanotechnology”, Julian W. Gardner and Harry Hingle, KAP, 1997.

4. “Handbook of nanophase and nanostructured materials: characterization”, Wang Zhong Lin, Kluwer Academic Publishers, 2003.

5. ”Nano- and Micro-Electromechanical Systems: Fundamentals of Nano and Micro engineering”, Sergey Edward Lyshevski, CRC Press, Florida, 2005.

6. “Nanotechnology- Science, Innovation and Opportunity”, Lynn E. Foster, Pearson Education, New Delhi, III Reprint, 2008.

7.”Nanotechnology for Microelectronics and optoelectronics”, J.M. Martinez, R.J. Martin-Palma and F. Agnllo-Ruedo, Elsevier, 2006.

8. “Nanostructures and Nanomaterials: synthesis, properties and applications”, Cao Guozhong, Imperial college press, II Ed, 2011.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %, Term End Examination – 50 %

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ECE 407 NEURAL NETWORKS AND FUZZY CONTROL 3 0 0 3 Prerequisite MAT101 MULTIVARIABLE CALCULAS AND DIFFERENTIAL

EQUATIONS

MAT201 COMPLEX VARIABLES AND PARTIAL DIFFERENTIAL EQUATIONS

Objectives: • To provide in depth knowledge on the latest subject and their applications in different fields.

• To introduce the various learning rules of Neural Networks both supervised and unsupervised.

• To explain the working of error back propagation training algorithm and its use as a mathematical tool for solving problems.

• To provide knowledge on associative memories and their applications.

• To introduce the subject on Fuzzy Logic.

• To introduce the Fuzzy relations and Fuzzy mathematics.

• To explain the solutions of a problem by Fuzzy Logic method based on linguistic inputs.

• To explain the concept of Fuzzy control and also help to design FLC.

• To explain few applications of both Neural Networks and Fuzzy Logic in different fields

Expected Outcome:

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

e) an ability to identify, formulate, and solve engineering problems

Unit I Introduction to Artificial Neural Networks:

Artificial neural networks and their biological motivation – Terminology – Models of neuron – Topology – characteristics of artificial neural networks – types of activation functions.

Unit II Learning Laws

Learning methods – error correction learning – Hebbian learning – Perceptron – XOR Problem – Perceptron learning rule convergence theorem – Adaline

Unit III Feed forward networks

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Multilayer Perceptron – Back Propagation learning algorithm – Universal function approximation – Associative memory: auto association, hetero associatio, recall and cross talk

Unit IV Recurrent neural networks Linear auto associator – Bi-directional associative memory – Hopfield neural network – Travelling Salesman Problem

Unit V Unsupervised Learning

Competitive learning neural networks – Max net – Mexican Hat – Hamming net

Unit VI Self Organizing networks Kohonen Self organizing Feature Map – Counter propagation – Learning Vector Quantization Adaptive Resonance Theory

Applications of neural networks in image processing, signal processing, modeling and control.

Unit VII Fuzzy Sets and Fuzzy Relations 1. Introduction –classical sets and fuzzy sets –classical relations and fuzzy relations –membership functions –fuzzy to crisp conversion ,fuzzy arithmetic, numbers, vectors, and extension principle Publishers.

Unit VIII Fuzzy Decision Making Classical logic and fuzzy logic –fuzzy rule based systems –fuzzy nonlinear simulation –fuzzy decision making –fuzzy control systems –fuzzy optimization –one-dimensional optimization.

References

1. Timothy J. Ross, Fuzzy Logic with Engineering Applications, John Wiley and sons, III Ed, 2010.

2. S. Haykin, “Neural Networks, A Comprehensive Foundation”, Pearson Education Inc., III Ed 2008.

3. Jacek. M. Zurada, “Introduction to Artificial Neural Systems”, Jaico Publishing House, 2006.

4. Laurene Fausett, Fundamentals of Neural Networks-Architectures, algorithms and applications, Pearson Education Inc., 2004.

5. J.S.R. Jang, C.T. Sun, E. Mizutani,, “Neuro Fuzzy and Soft Computing - A computational Approach to Learning and Machine Intelligence”, Pearson Education Inc., 2002..

1. Simon Haykin, “Neural Networks”, Mac Millen College Pub co., Newyork, 1994.

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE 310 DIGITAL SYSTEM DESIGN 3 0 0 3 Prerequisite EEE112 DIGITAL LOGIC DESIGN

Objectives: • To provide a general understanding and designing of digital logic systems for advanced sequential circuit designs.

• To familiarize students with the various techniques to realize the complete digital circuits.

• To understand the basic programming in VHDL/Verilog. Expected Outcome:

Student will be able to

• Realization of single and multiple function Sequential circuits using the VHDL/Verilog.

• Develop state diagrams and algorithmic state machine charts methods of minimization of next state transition tables, and strategies for state assignment.

• Analyze and realize synchronous and asynchronous finite state machines.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I SEQUENTIAL CIRCUIT DESIGN

Analysis of Clocked Synchronous Sequential Networks (CSSN) Modeling of CSSN – State Stable Assignment and Reduction – Design of CSSN – Design of Iterative Circuits - Design of code converters, Comparators, using ROMs and PLAs, parallel multiplier and binary Divider

Unit II ASYNCHRONOUS SEQUENTIAL CIRCUIT DESIGN

Analysis of Asynchronous Sequential Circuit (ASC), Fundamental mode and pulse mode ASC, Analysis and design of ASC, Hazards in Sequential circuits and essential hazards, Data Synchronizers, Designing Vending Machine Controller, Mixed Operating Mode Asynchronous Circuits

Unit III RTL Synthesis

Coding guideline for synthesis. Logic Inference: Order dependence. Optimization and mapping constraints (clock, delay, area, design). An overview of the synthesis based ASIC design flow. Synthesis Environment. technology library: technology libraries, logic library basics, delay

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calculations

Unit IV FPGA and its Architecture

Types of Programmable Logic Devices- PLA & PAL- FPGA Generic Architecture.

Interconnect structures - Logic blocks, routing architecture. Design flow -Technology Mapping for FPGAs - Case studies. Xilinx XC 4000 & ALTERA Cyclone II Architecture FPGAs. ACTEL - ACT-1, 2, 3 and their speed performance

Unit V Verification and Testing of Digital circuits

Design verification techniques based on simulation, analytical and formal approaches. Functional verification: Timing verification. Formal verification. Physical Verification and Analysis. Basics of equivalence checking and model checking. Hardware emulation.

ATPG for Combinational Circuits: D-Algorithm, Sequential Circuit Test Generations: ATPG for single-clock synchronous circuits

Text Books 1. Donald G. Givone “Digital principles and Design” Tata McGraw Hill II Ed,

2010. 2. M. Bushnell and V. D. Agarwal, "Essentials of Electronic Testing for Digital,

Memory and Mixed-Signal VLSI Circuits", Kluwer Academic Publishers, Reprint 2005

References 1. John M Yarbrough “Digital Logic applications and Design” Thomson Learning, 2006 2. Nripendra N Biswas “Logic Design Theory” Prentice Hall of India, 2001 3. Charles H. Roth Jr. “Digital System Design using VHDL” Thomson Learning, 2nd

Edition 2008 4. Charles H. Roth Jr. “Fundamentals of Logic design” Brooks/Cole, 7/e, 2014.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE410 WIRELESS SENSOR NETWORKS 3 0 0 3

Prerequisite ECE308 COMPUTER COMMUNICATION

Objectives: • To teach the basic and advanced concepts in sensor networking architectures and protocols.

• To expose the students to the recent advances in various wireless networks.

Expected Outcome:

Student will be able to

• The students will be able to understand the fundamentals and basic features of wireless sensor networking.

This course meets the following student outcomes

e) an ability to identify, formulate, and solve engineering problems

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Introduction

Advantages of Sensor Networks, Habitat Monitoring, Tracking Chemical Plumes, Smart transportation, Collaborative Processing.

Unit II Localization and Tracking

Collaborative Localization, Bayesian state estimation, State space decomposition, data association, Sensor models

Unit III Networking Sensors

Medium access control – the S-MAC protocol, IEEE 802.15.4 Standard and ZigBee, Energy aware routing – Unicast geographic routing, routing on a curve, energy minimizing broadcast, energy aware routing to a region, Attribute based routing – directed diffusion, rumor routing, geographic hash tables.

Unit IV Sensor Tasking and Control

Task driven sensing, roles of sensor nodes and utilities, information based sensor tasking – IDSQ, cluster leader based protocol, sensor tasking in tracking relations, joint routing and information aggregation – multi step information directed routing, sensor group management.

Unit V Sensor Network Databases

Query interfaces, High level database organization, In-Network aggregation, data-centric

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storage, data indices and range queries, distributes hierarchical aggregation, temporal data

Unit VI Wireless Sensor Networking Introduction, characteristics, applications, technical challenges and design directions.

References 1. Wireless Sensor Networks, Feng Zhao, Leonidas. J.Guibas, Morgan Kaufamann

Publishers 2008 2. Introduction to wireless and mobile systems, Dharma Prakash Agarwal, Quing-

AnZeng, Vikas Publishing House, 2012 3. Handbook of Sensor Networks: Algorithms and Architectures, Ivan Stojmenovi &

Cacute, October 2005 4. William Stallings, “Wireless Communications and Networks”, Prentice Hall, II Ed,

2014

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE 408 ADVANCED MICROCONTROLLER 3 0 0 3

Prerequisite ECE304 MICROCONTROLLER & APPLICATIONS

Objectives: • Understand advanced architectures. • Develop Programs both in C and assembly for advanced architectures • Understand the advanced features like memory management unit,

exception handling. • Build real time DSP system using ARM/DSP processors

Expected Outcome:

After completion of the course student will be able to

• Develop efficient C codes and assembly codes for ARM architecture • Differentiate Floating point and fixed point DSP processors • Explain the usage memory management unit for virtual memory concept • Solve real life problem using ARM and DSP processors.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health care and safety, manufacturability, and sustainability

d) an ability to function on multidisciplinary teams

e) an ability to identify, formulate, and solve engineering problems

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Embedded electronic systems and microcontrollers

Introduction to Embedded System, and microcontrollers, Anatomy of a typical small microcontroller, Memory, Software, Where does the MSP430 fit

Unit II Texas MSP430

Architecture of the MSP430, Memory, Addressing modes, Constant generator and emulated instructions, Instruction set, Reflections on the CPU instruction set, Reset,Clock system, Exceptions: Interrupts and resets.

Unit III Development environment

The C programming language, Assembly language, Access to microcontroller for programming and debugging

Unit IV A simple tour of the MSP430

First program on a conventional desktop computer, Light LEDs in C, Light LEDs in assembly language, Read input from a switch, Automatic control: flashing light by software delay, Automatic

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control: Use of subroutines, Automatic control: Flashing light by polling Timer A, Header files and issues that have been brushed under the carpet.

Unit V Functions, interrupts and low-power modes

Functions and subroutines, Storage for local variables, Passing parameters to a subroutine and returning a result, Mixing C and assembly language, Interrupts, Interrupt service routines, Issues associated with interrupts, Low-power modes of operation

Unit VI Mixed Signal Peripherals

Digital input/output, LCD Displays, Watchdog timers, timers, ADC, DAC, SPI, I2C, UART, Low power embedded system design using MSP430 processors.

References 1. C.P. Ravi Kumar,MSP430, Micro controller in Embedded system Projects, TI, Nov. 2012 2. Steve Furber, “ARM System-on-Chip Architecture”, 2nd Edition, Addison Wesley, 2000. 3. David Seal, “ARM Architecture Reference Manual”, 2nd Edition, Addison Wesley, 2007. 4. Alex Van Someran and Carol Attack, “The ARM RISC Chip: A Programmer’s Guide”,

Addison Wesley, 1993. 5. Trevor Martin,The insider’s guide to Philips ARM1-based

microcontroller.www.hitex.co.uk/arm 6. Sen.M.Kuo,Woon-Seng Gan, Digital signal processors architectures, Implementation and

applications Pearson education, 2005 7. John Davies, Newnes, MSP430 Microcontroller Basics, 2008 8. Chris Nagy, Embedded system design using the TI MSP430 series, Elsevier Publications,

Sept 2003

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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EEE202 OPTO ELECTRONICS 3 0 0 3

Prerequisite ECE101 ELECTRON DEVICES AND CIRCUITS

Objectives: • To describe the wave nature of light and optical processes in semiconductors.

• To introduce different structures and explain the construction and working of light emitting diodes and analyze the performance.

• To provide a deep insight on the emission processes, construction and working of various types of semiconductor lasers.

• To introduce different types of photo detectors, explain the constructions, working principles and analyze their noise performances

• To make them understand the use of optoelectronic components and fibers to construct an optical communication system and analyze the coupling techniques, losses to improve long haul transmissions.

Expected Outcome:

Student will be able to

• explain the wave nature of light and optical emissions in semiconductors

• design circuits using optoelectronic components for various applications and analyze their performance

• Identify the way to improve the use of optoelectronic components and their longevity.

• To understand the use of components in telecommunication systems.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.

Unit I Introduction

Wave nature of light: Total internal reflection, refraction, principle of superposition, Interference, diffraction, Review of semiconductor fundamentals: elemental and compound semiconductors, band structure, direct and indirect band gap.

Unit II Optical Processes in Semiconductors

Recombination processes: Radiative, Non-radiative, Band-to-band recombination, Auger

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recombination. Absorption in semiconductors, Franz-Keldysh and Stark effects, Kramers- Kronig relations, radiation in semiconductors.

Unit III Light Emitting Diodes

Principle of action, LED materials, power and efficiency calculation, LED driver circuits, spectral response, frequency response and modulation bandwidth. LED structures: Homostructure, Heterostructure, surface emitting and edge emitting LEDs.

Unit IV Semiconductor LASERs

Basic Principle, concept of spontaneous and stimulated emission, population inversion, optical feedback, threshold conditions. Einstein relation, Heterojunction Lasers, Distributed Feedback Lasers.

Unit V Photodetectors

PN, P-i-N, Avalanche and Heterojunction photodiodes, phototransistors. Avalanche multiplication process in APDs, quantum efficiency, responsivity, noise and gain calculation of APDs.

Text Books 1. J Wilson and JFB Hawkes, Optoelectronics – an Introduction, PHI, 3/e, 2010. 2. Pallab Bhattacharya, Semiconductor Optoelectronic Devices, PHI, 2/e, 2009

References 1. John M Senior, Optical Fiber Communication – principle and practices, PHI, 3/e,

2010. 2. Djafar K Manbaev, Fiber-Optic Communication technology, Pearson Education,

6th Reprint, 2012

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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MAT205 APPLIED NUMERICAL METHODS 3 1 0 4

Prerequisite -

Objectives: • This course attempts to cover certain basic, important computer oriented numerical methods for analyzing problems that arise in engineering and physical sciences. The students are expected to use MATLAB as the primary computer language to obtain solutions to a few assigned problems.

Expected Outcome:

• By the end of the course, students should be able to appreciate the power of numerical methods and use them to analyze the problems connected with data analysis, and solution of ordinary and partial differential equations that arise in their respective engineering courses.

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

e) an ability to identify, formulate, and solve engineering problems

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

Unit I Algebra and Transcendental System of Equations

General iterative method- secant method- Newton – Raphson method - non-linear equations solution of system of equations- generalized Newton’s method(roots of equation-solution of system of equations), - rate of convergence- Gauss –Seidel method for system of linear equations – convergence criterion- positive definiteness of a matrix- spectral radius of a matrix tridiagonal system of equations – Thomas algorithm.

Unit II Numerical Differentiation and Integration

Interpolation- finite differences- Newton’s formulae for interpolation- Langrage interpolation, interpolation with cubic splines, - numerical differentiation- maxima minima for tabulated values-numerical integration: Trapezoidal rule, Simpsons 1/3 rd and 3/8 th rules. –Romberg’smethod.

Unit III Ordinary Differential Equations

(Review: Taylor series method-Euler and modified Euler’s methods) Runge Kutta methods - fourth order R.K method – systems of equations and higher order equations.-multi step methods: Adams-Bashforth method- boundary value problems- the shooting method, eigen value problems- finite difference method.

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Unit IV Partial Differential Equations

Elliptic equation-Laplace equation- Liebmann’s method –Jacobi’s method- Gauss- Seidal method- parabolic equations - hyperbolic equations –-explicit methods – Crank – Nicholson implicit method -Von Neumann stability condition-CFL(Courant–Friedrichs–Lewy) stability condition.

Unit V

Functionals- - Euler- Lagrange equation- externals- isoperimetric problems - The Rayleigh – Ritz method- Galerkin’s method.

Text Books 1. M. K. Jain, S. R. K. Iyengar and R. K. Jain, Numerical methods for scientific

and Engineering, New Age International Ltd., 5th Edition (2010).

2. C. F. Gerald and P.V. Wheatley. Applied Numerical analysis, Addition-wesley, 7th

Edition (2007).

References 1. S.S.Sastry, Introductory Methods of Numerical Analysis, PHI Pvt Ltd, New

Delhi(2003) 2. W.Y. Yang, W. Cao, T.S. Chung and J. Morris, Applied Numerical Methods Using

MATLAB Wiley India Edt(2007) 3. Steren C. Chapra and Ra P. Canale, Numerical methods for Engineers with

programming and software applications, 3rd Edition, Tata McGraw Hill(2001) Parviz Moin, Fundamentals of Engineering numerical analysis, Cambridge university

Evaluation

Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 %

Term End Examination – 50 %

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ECE411 RADAR AND NAVIGATIONAL AIDS 3 0

0 3

Prerequisite ECE306 ANTENNAS AND WAVE PROPAGATION

Objectives: • To provide an introduction to students the fundamentals of Radar principles

• To enable the students acquaint with various types of Radars available and their applications

• To provide in depth knowledge to students about signal detection techniques and navigation phenomenon

Expected Outcome:

Students will be able to

• Understand the basic principles of various types of Radar transmission and reception techniques and apply principles for various applications

This course meets the following student outcomes

a) an ability to apply knowledge of mathematics, science, and engineering

h) the broad education necessary to understand the impact of engineering solutions in a global, economic, environmental, and societal context

i) a recognition of the need for, and an ability to engage in research and to involve in life-long learning

Unit I Radar Equation

Radar block diagram and operation; radar frequencies; radar range equation; Prediction of range performance; minimum detectable signal; radar cross section of targets; cross section fluctuations; transmitter power; pulse repetition frequency and range ambiguities; system losses and propagation effects.

Unit II CW and FMCW Radar Doppler Effect CW radar basic principles and operation of FMCW radar. MTI and Pulse Doppler Radar; MTI block diagram and description; delay line cancellers; range gated Doppler filters; Non coherent MTI; Pulse Doppler radar. Tracking radars – sequential lobing; conical scan and simultaneous lobing monopulse.

Unit III Synthetic Aperture And Air Surveillance Radar

Synthetic aperture radar – resolution; radar equation; SAR signal processing; Inverse SAR. Air surveillance radar – user’s requirements; characteristics and frequency considerations. ECCM and Bistatic Radar: Electronic counter – counter measures; Bistatic radar – description bistatic radar equation comparison of monostatic and bistatic radars.

Unit IV Radar Signal Detection and Propagation of Waves

Detection Criteria; Automatic detection; constant false alarm rate receiver. Information

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available from a radar; ambiguity diagram; pulse compression. Propagation over plane earth; refraction; anomalous propagation and diffraction. Introduction to clutter; surface clutter radar equation.

Unit V Electronic Navigation Adcock directional finder Automatic Directional finder VHF Omni–directional range Hyperbolic systems of navigation – Loran and Decca Navigation system – Tactical air navigation (TACAN) ILS and GCA as aids to approach and landing..

Text Books 1. M.I.skolnik “Introduction to Radar Systems”, McGraw Hill II Edition.2004

References 1. N.S Naga Raja “Elements of Electronic Navigation”, Tata McGraw Hill 2003. 2. Nadav Levanon “Radar Principles” John wiley and Sons 2003.

Evaluation Continuous Assessment – 30%, Assignments / Projects / Quizzes – 20 % Term End Examination – 50 %