Department of Telecommunication Engineering Master of ... DCE Syllabus _1.pdfDepartment of Telecommunication Engineering M. Tech – Digital Communication Engineering Scheme and Syllabus

Rashtreeya Sikshana Samithi Trust

R. V. College of Engineering (Autonomous Institution affiliated to VTU, Belagavi)

Department of Telecommunication Engineering Master of Technology (M.Tech.)

Digital Communication Engineering

Scheme and Syllabus of

Autonomous System w.e.f 2016

Department of Telecommunication Engineering M. Tech – Digital Communication Engineering

Scheme and Syllabus – 2016 Admission Batch Page 2 of 43

R.V. College of Engineering, Bengaluru – 59 (Autonomous Institution affiliated to VTU, Belagavi )

Department of Telecommunication Engineering

Vision:

Imparting quality education in Electronics and Telecommunication Engineering through focus on fundamentals, research and innovation for sustainable development

Mission:

• Provide comprehensive education that prepares students to contribute effectively to the

profession and society in the field of Telecommunication.

• Create state-of-the–art infrastructure to integrate a culture of research with a focus on

Telecommunication Engineering Education

• Encourage students to be innovators to meet local and global needs with ethical practice

• Create an environment for faculty to carry out research and contribute in their field of

specialization, leading to Center of Excellence with focus on affordable innovation.

• Establish a strong and wide base linkage with industries, R&D organization and

academic Institutions.

Program Educational Objectives (PEO)

Graduates of M. Tech. in Digital Communication Engineering will be able to:

PEO 1: Analyze, evaluate, design and solve complex engineering problems in Electronic

communication using modern tools.

PEO 2: Demonstrate the skills in the core areas like Applied Mathematics, Signal Processing,

Networking and Wireless Communication.

PEO 3: Carry out research and innovation through lifelong learning adapting to technological

changes

Program Outcomes (PO)

Graduates in Digital Communication Engineering will be able to: PO 1: Scholarship of Knowledge: Acquire in-depth knowledge of Mathematics, Digital

Communication with ability to evaluate, analyze and synthesize complex problems.

PO 2: Critical Thinking: Analyze complex engineering problems to make intellectual and/or

creative advances for conducting research

PO 3: Problem Solving: Conceptualize and solve engineering problems, to arrive at optimal

solutions, considering standards and safety, societal and environmental factors.



PO 4: Research Skill: Formulate research problem through literature survey, find the gap and

apply appropriate research methodologies to solve and contribute to the development of

technological knowledge.

PO 5: Usage of modern tools: Learn and apply modern engineering tools to solve complex

engineering problems like Matlab application tools, Advance Design Software (ADS),

System View, Optisim etc.

PO 6: Collaborative and Multidisciplinary work: Contribute positively to collaborative-

multidisciplinary scientific research, in order to achieve goals set.

PO 7: Project Management and Finance: Manage projects efficiently in Digital

communication and allied disciplines keeping financial factors in mind.

PO 8: Communication: Communicate and present their work on complex engineering

activities with the engineering community and share with peers confidently and

effectively.

PO 9: Life-long Learning: Ability to engage in life-long learning independently, to improve

knowledge and competency.

PO 10:Ethical Practices and Social Responsibility: Practice professional code of conduct,

ethics in research with an understanding of responsibility so as to contribute to the

community for sustainable development of society.

PO 11:Independent and Reflective Learning: Introspect critically the outcomes of one’s

actions and make corrective measures subsequently, and learn from mistakes without

depending on external feedback.

MASTER OF DIGITAL COMMUNICATION ENGINEERING - Program

Program Specific Criteria (PSC)

Lead Society: Institute of Electrical and Electronics Engineers 1. Curriculum:

The curriculum shall include Advanced mathematics applied to telecommunication system design; Engineering topics, including programming, necessary to analyze and design complex electrical and electronic devices, software, and systems containing hardware and software components; Communication theory and systems. The curriculum must prepare graduates for design and operation of Telecommunication networks for services such as voice, data, image, and video transport.



2. Faculty

The professional competence of the faculty must be in Applied Mathematics, Engineering, Telecommunication System design and integration. Program Specific Outcomes (PSO)

Graduates in M. Tech (Digital Communication Engineering) will be able to:

PSO 1: Analyze, design and implement emerging Digital communications systems using

devices, sub-systems, propagation models, networking of Wireless and Wire line

communication systems.

PSO 2: Exhibit Technical skills necessary to choose careers in the design, installation,

testing, management and operation of Digital Communication systems.



R. V. College of Engineering, Bengaluru – 59. (An Autonomous Institution affiliated to VTU, Belagavi)


M. Tech. in Digital Communication Engineering

FIRST SEMESTER

Sl.

No

Course Code Course Title BoS CREDIT ALLOCATION Total

Credits Lecture

L

Tutorial

T

Practical

P

Experiential

Learning

S

1 16MEM11R Research Methodology IM 3 1 0 0 4

2 16MAT12D Applied Engineering Mathematics MA 4 0 0 0 4 3 16 MDC13/

16MRM13 Advanced Digital Communication (Theory and Practice)

TE 4 0 1 0 5

4 16MDC14 DSP for Communication TE 4 0 0 1$ 5

5 16MDC15x Elective -1 TE 4 0 0 0 4 6 16HSS16 Professional Skill Development HSS 0 0 2 0 2

Total 19 1 3 1 24

$ The student is expected to devote at least four hours/ week in learning Technologies and Skills.

Elective –1

16MDC151 Antenna Systems 16MDC152 Detection and Estimation Theory






SECOND SEMESTER

Sl.

No


Credits Lecture

L

Tutorial

T

Practical

P

Experiential

Learning

S

1 16MEM21P Project Management IM 3 1 0 0 4 2 16MDC22 Optical Communication and

Networking (Theory and Practice)

TE 4 0 1 0 5

3 16MDC23x Elective-2 TE 4 0 0 0 4

4 16MDC24x Elective-3 TE 4 0 0 0 4 5 16MDC25x Elective-4 TE 4 0 0 0 4

6 16MDC26 Minor Project TE 0 0 5 0 5 Total 19 1 6 0 26

Elective –2

16MDC231 Real Time Embedded System 16MDC232 Object Oriented Programming

Concepts

Elective –3

16MDC241 Advanced VLSI Design 16MDC242 Software Defined Networks

Elective –4

16MDC251 Error Control Coding 16 MDC252/16MRM252 Wireless Sensor Networks






THIRD SEMESTER

Sl.

No


Credits Lecture

L

Tutorial

T

Practical

P

Experiential

Learning

S

1 16 MDC31/ 16MRM31

Wireless Communication (Theory and Practice)

TE 4 0 1 0 5

2 16MDC32x Elective -5 TE 4 0 0 0 4 3 16MDC33x Elective -6 TE 4 0 0 0 4

4 16MDC34x Elective -7 TE 4 0 0 0 4 5 16MDC35 Internship / Industrial Training TE 0 0 3 0 3

6 16MDC36 Technical Seminar TE 0 0 2 0 2

Total 16 0 6 0 22

Elective –5

16MDC321 Modern Communication Systems 16MDC322 Multimedia Communication

Elective –6

16MDC331 Network Security 16MDC332/16MRM332 Satellite Navigation Systems

Elective –7

16MDC341 Short Range Wireless Communication 16 MDC342/16MRM342 Broadband networks






FOURTH SEMESTER

Sl.

No


Credits Lecture

L

Tutorial

T

Practical

P

Experiential

Learning

S

1 16MDC41 Major Project TE 0 0 26 0 26 2 16MDC42 Seminar TE 0 0 2 0 2

Total 0 0 28 0 28



I SEMESTER

RESEARCH METHODOLOGY

Course Code : 16MEM11R CIE Marks : 100

Hrs/Week : L: T: P: S 3:2:0:0 SEE Marks : 100

Credits : 04 SEE Duration : 3 Hrs

Course Learning Objectives:

This course will enable student to: 1. Understand of the underlying principles of quantitative and qualitative research 2. Perform the gap analysis and identify the overall process of designing a research study. 3. Choose the most appropriate research methodology to address a particular research problem 4. Explain a range of quantitative and qualitative approaches to analyze data and suggest possible

solutions.

Unit – I 07 Hrs

Overview of Research Meaning of Research, Types of Research, Research and Scientific Method, Defining the Research Problem, Research Design, Different Research Designs.

Unit – II 07 Hrs

Methods of Data Collection

Collection of Primary Data, Observation Method, Interview Method, Collection of Data through Questionnaires, Collection of Data through Schedules, Collection of Secondary Data, Selection of Appropriate Method for Data Collection.

Unit – III 08 Hrs

Sampling Methods

Sampling process, Non-probability sampling, probability sampling: simple random sampling, stratified sampling, cluster sampling systematic random sampling, Determination of sample size, simple numerical problems.

Unit – IV 07 Hrs

Processing and analysis of Data

Processing Operations, Types of Analysis, Statistics in Research, Measures of: Central Tendency, Dispersion, Asymmetry and Relationship, correlation and regression, Testing of Hypotheses for single sampling: Parametric (t, z and F) Chi Square, ANOVA, and non-parametric tests, numerical problems.

Unit-V 07 Hrs

Essentials of Report writing and Ethical issues: Significance of Report Writing, Different Steps in Writing Report, Layout of the Research Report, Precautions for Writing Research Reports.

Syllabus includes 12 hours of tutorials in which:

• Faculty is expected to discuss research methodology for specializations under consideration.

• Numerical problems on statistical analysis as required for the domains in which students are studying must be discussed.

• Statistical analysis using MINITAB/ MatLab and such other software can be introduced.



Course Outcomes:

After going through this course the student will be able to

CO1: Explain various principles and concepts of research methodology. CO2: Apply appropriate method of data collection and analyze using statistical methods. CO3: Analyze research outputs in a structured manner and prepare report as per the technical and

ethical standards. CO4: Formulate research methodology for a given engineering and management problem situation.

Reference Books:

1. C.R. Kothari, “Research Methodology Methods and techniques”, New Age International,

2004, ISBN: 9788122415223

2. K.N. Krishnaswami, A. I Sivakumar, and M. Mathirajan, Management Research

Methodology, Pearson Education India, 2009, ISBN:9788177585636

3. R.I. Levin, and D.S. Rubin, “Statistics for Management”, 7th Edition, Pearson Education:

New Delhi, ISBN-13: 978-8177585841

Scheme of Continuous Internal Evaluation (CIE)

CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE will be 100 marks.

Scheme of Semester End Examination (SEE)

The question paper will have FIVE questions with internal choice from each unit. Each question will carry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks.

Mapping of Course Outcomes (CO) to Program Outcomes (PO)

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11

CO1 M --- --- M ---- ---- --- H --- H -----

CO2 --- L H H M M L L ---- M L

CO3 L M M M H M L M --- --- M

CO4 H H H H ---- L L M H --- H

Mapping of Course Outcomes (CO) to Program Specific Outcomes (PSO)

PSO1 PSO2

CO1 L L

CO2 L M

CO3 M H

CO4 M H



APPLIED ENGINEERING MATHEMATICS

Course Code : 16MAT12D CIE Marks : 100

Hrs/Week : L:T:P:S 4:0:0:0 SEE Marks : 100


Course Learning Objectives (CLO):

This course will enable student to: 1. Understand the concepts of discrete and continuous probability, independence of events,

conditional probability and be able to apply these concepts to engineering applications. 2. Understand mathematical descriptions of random variables including probability mass

functions (PMFs), cumulative distribution functions (CDFs), probability distribution functions (PDFs), conditional distribution, conditional mass and density functions.

3. Apply fundamental concepts of linear algebra including matrix algebra, solutions of linear systems, determinants, vector spaces, orthogonality, Eigen values and eigenvectors, difference equations, associated transforms to model and solve problems in electronic communication based on the these concepts.

Unit – I 10 Hrs

Fundamentals of Probability Theory

Definitions, scope and history; Axioms of Probability, Assigning Probabilities; Joint and Conditional Probabilities, Independence; Baye’s Theorem and applications. Random Variables, Distributions and Density Functions

Definition of random variables, continuous and discrete random variables, cumulative distribution function for discrete and continuous random variables, probability mass function, probability density functions and properties, Some special distributions, Uniform, Exponential, Laplace, Gaussian and Rayleigh distributions, Binomial, and Poisson distribution.

Unit – II 09 Hrs

Operations on random variables

Expectation, moments and central moments of a random variable; Characteristic Functions, Probability generating and Moment generating functions. Joint PDF, Joint CDF, Joint PMF; conditional expectation, Joint moments; covariance and correlation; independent, uncorrelated and orthogonal random variables; Jointly Gaussian random variables. Multiple Random variables

Joint and Conditional PMF’s, CDF’s and PDF’s; Central limit theorem; Gaussian random variables in multiple dimensions; mean vector, covariance matrix and properties

Unit – III 10 Hrs

Matrices and Gaussian Elimination

Geometry of Linear Equations, Matrix multiplication, Inverses and Transposes, System of equations by Gauss Seidel method, Rank of a Matrix, Special matrices and applications.

Determinants, Eigen values and Eigen Vectors Introduction, Properties of the Determinants and Applications, Diagonalization of a Matrix, Computation of Eigen values and Eigen vector



Unit – IV 10 Hrs

Vector Spaces

Vector Spaces and Subspaces, Linear Independence, Basis and dimension, Four fundamental Subspaces, Linear Transformations. Orthogonality Orthogonal Vectors and Subspaces, Projections and Least squares, Orthogonal Bases and Gram- Schmidt orthogonalization, Rank-Nullity theorem.

Unit-V 09 Hrs

Partial Differential Equation

Linear partial differential equation with constant coefficients of 2nd order and their classification, illustrative examples. Method of Separation of variable for solving PDE, Simple problems, Numerical solutions of partial differential equations, heat equation, wave equation, Poisson and Laplace equation.

Expected Course Outcomes:

After going through this course the student will be able to:

CO1: Demonstrate the understanding of fundamentals of theory of probability and random variables, matrix theory and partial differential equations.

CO2: Solve problems on probability distributions, multiple random variables, matrix analysis, standard partial differential equations.

CO3: Apply acquired knowledge to find moments, rank and diagonalization of matrix, verify rank nullity theorem, numerical solution of Laplace and Poisson equations.

CO4: Estimate Cumulative Distribution functions, Probability generating functions, Orthogonality of vector spaces, applications of Partial differential equations using both analytical and numerical methods and apply all these concepts Telecommunication Engineering.

Reference Books:

1. Scott. L. Miller and Donald. G. Childers, “Probability and Random Processes: With Applications to Signal Processing and Communications”, Elsevier Academic Press, 2nd Edition, 2012.

2. Gilbert Strang, “Linear Algebra and its Applications”, Cengage Learning, 4th Edition, 2006.

3. Nakhle H. Asmar “Partial Differential Equations and Boundary Value Problems with Fourier Series”, Pearson Education, 2nd Edition, 2005.

Scheme of Continuous Internal Evaluation (CIE) for Theory

CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks.

Scheme of Semester End Examination (SEE) for Theory






CO1 H H H M L L -- -- -- -- --

CO2 H H H H H L -- -- -- -- --

CO3 H H H H H L -- -- -- -- --

CO4 H H H H H L -- -- -- -- --


PSO1 PSO2

CO1 H --

CO2 H --

CO3 H --

CO4 H --



ADVANCED DIGITAL COMMUNICATION (Theory and Practice)

Course Code : 16MDC13/16MRM13 CIE Marks : 100+50

Hrs/Week : L:T:P:S : 4:0:2:0 SEE Marks : 100+50

Credits : 05 SEE Duration : 3 + 3 Hrs

Course Learning Objectives (CLO): This course will enable student to: 1. Understand and appreciate the need of various modulation and spread spectrum techniques. 2. Analyze the properties of basic Modulation techniques and apply them to Digital

Communication 3. Apply different types of coding techniques to design the optimum receiver for channels with

ISI and AWGN. 4. Design and develop the different types of modulation techniques, equalizer to improve the

performance under fading channels for various applications.

Unit – I 10Hrs

Digital Modulation Techniques: Digital modulation formats, Coherent binary modulation techniques, Coherent quadrature – modulation techniques, Non-coherent binary modulation techniques, Comparison of binary and quaternary modulation techniques, M-ray modulation techniques, Power spectra, Bandwidth efficiency, M-array modulation formats viewed in the light of the channel capacity theorem, Effect of inter symbol interference, Bit verses symbol error probabilities, Synchronization, Applications.

Unit – II 10Hrs

Coding Techniques: Convolutional encoding, Convolutional encoder representation, Formulation of the convolutional decoding problem, Properties of convolutional codes: Distance property of convolutional codes, Systematic and nonsystematic convolutional codes, Performance Bounds for Convolutional codes, Coding gain, Other convolutional decoding algorithms, Sequential decoding, Feedback decoding, Turbo codes.

Unit – III 10Hrs

Linear and Adaptive Equalization: Linear equalization, Decision -feedback equalization, Reduced complexity ML detectors, Iterative equalization and decoding - Turbo equalization. Adaptive linear equalizer, adaptive decision feedback equalizer, Recursive least square algorithms for adaptive equalization.

Unit – IV 10Hrs

Spread Spectrum Signals for Digital Communication: Model of spread spectrum digital communication system, Direct sequence spread spectrum signals, Frequency hopped spread spectrum signals, CDMA, Time hopping SS, Synchronization of SS systems.

Unit – V 10Hrs

Digital Communication through Fading Multipath Channels: Characterization of fading multipath channels, The effect of signal characteristics on the choice of a channel model, Frequency nonselective, Slowly fading channel, Diversity techniques for fading multipath channels, Digital signals over a frequency selective, Slowly fading channel.



Unit – VI (Lab Component)

The students are expected to design, use modern tools to develop experiments to study the

performance and infer changes required in their design for:

1. MASK, MFSK, MPSK, QPSK, MSK, GMSK and M-arry modulation techniques. Students are expected to apply Convolution coding, Turbo codes and LDPC. Linear Equalizers and adaptive equalizers.

2. Study the performance of Spread spectrum techniques, multipath diversity and Multicarrier Modulation techniques.



CO1: Explain merits and demerits of different modulation techniques & coding techniques, spread spectrum signals and channel behaviors

CO2: Analyze various modulation, equalization, diversity and coding techniques for communication systems

CO3: Compare performance of different types of modulation on different wireless application fading channels.

CO4: Design and demonstrate various modulation/coding equalization techniques and measure their performance.

Reference Books:

1. Simon Haykin, “Digital Communication”, Reprint, Wiley, 2013, ISBN: 0471647357, 9780471647355.

2. Bernard Sklar, “Digital Communications - Fundamentals and Applications”, Pearson Education (Asia) Pvt. Ltd, 2nd Edition, 2014, ISBN: 1292026065, 9781292026060.

3. John G. Proakis, “Digital Communications”, McGraw Hill, 5th Edition, 2008.

4. Andrea Goldsmith, “Wireless Communications”, Cambridge University Press, 2005.


CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks. Scheme of Continuous Internal Evaluation (CIE) for Practical

CIE for the practical courses will be based on the performance of the student in the laboratory, every week. The laboratory records will be evaluated for 40 marks. One test will be conducted for 10 marks. The total marks for CIE (Practical) will be for 50 marks.

Scheme of Semester End Examination (SEE) for Theory The question paper will have FIVE questions with internal choice from each unit. Each question will carry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks. Scheme of Semester End Examination (SEE) for Practical

SEE for the practical courses will be based on conducting the experiments and proper results for 40 marks and 10 marks for viva-voce. The total marks for SEE (Practical) will be 50 marks.





CO1 -- -- L -- -- -- -- -- -- -- --

CO2 H -- H -- H -- -- -- -- -- --

CO3 -- -- H -- M -- -- -- -- M --

CO4 M M H -- M -- -- -- -- L --


PSO1 PSO2

CO1 H L

CO2 H L

CO3 H L

CO4 H M



DSP FOR COMMUNICATION

Course Code : 16MDC14 CIE Marks : 100




This course will enable student to: 1. Understand the techniques for design and realization of digital Filters for various electronic

communication applications. 2. Understand how to choose the sampling rate conversion and apply to Multirate signal

processing techniques. 3. Design of Adaptive filters, linear prediction and optimum linear filters. 4. Estimate Power spectrum requirements based on Eigen decomposition based methods, MUSIC

and ESPRIT

Unit – I 10Hrs

Design of Digital Filters:

General Considerations, Design of FIR filters, Design of IIR filters from analog Filters, Frequency Transformation.

Unit – II 10Hrs

Multi rate Digital Signal Processing:

Decimation by a factor D, Interpolation by a factor I, Sampling rate conversion by a Rational Factor I/D. Implementation of sampling Rate Conversion, Multistage implementation of sampling rate conversion, Sampling rate conversion by an Arbitrary Factor, Applications of Multirate Signal Processing, Digital Filter Banks, Two-Channel Quadrature Mirror Filter Bank, M-channel QMF Bank.

Unit – III 10Hrs

Linear Prediction and Optimum Linear Filters:

Random Signals, Correlation Functions, and Power spectra, innovations representation of a stationary random process, Forward and backward Linear Prediction, Levinson – Durdin algorithm, properties of the Linear Prediction-Error Filters, Wiener Filters for filters for filtering and prediction.

Unit – IV 10Hrs

Adaptive Filters:

Applications of Adaptive filers, Adaptive Direct-Form FIR Filters- The LMS algorithm, Adaptive Direct Form Filters- RLS algorithm.

Unit – V 10Hrs

Power Spectrum Estimation:

Estimation of spectra from Finite-Duration Observations of Signals, Nonparametric methods for power spectrum estimation, Parametric methods for power spectrum estimation, Eigen analysis algorithms for spectrum estimation- Eigen decomposition of the Autocorrelation Matrix for sinusoids in White Noise, MUSIC algorithm, ESPRIT algorithm.

Unit – VI (Self-study component)

The faculty should assign self study topics and case studies in emerging areas design solutions in covering of PO2, 3, 4, 5, 8, 9, 10 in digital filters, multi stage sampling rate conversion and applications optimum linear prediction, optimum linear filter, adaptive filters and power spectrum estimation




After going through this course the student will be able to: CO1: Evaluate various Digital filters, linear filters and adaptive filters for multirate signal

processing and power spectrum estimation. CO2: Apply different design techniques for FIR and IIR filters. CO3: Design and demonstrate various Digital Signal Processing systems using modern software

and hardware.

Reference Books:

1. John G. Proakis and Manolakis, “Digital Signal Processing”, Prentice Hall, 4th Edition, 2007.

2.

E C Ifeachor and B W Jarvis, “Digital Signal Processing: A Practitioner’s approach”, Pearson Education, India, 2nd Edition, 2002, Reprint.

3. Robert O Cristi, “Modern Digital Signal Processing”, Cengage publishers India, 2003

4.

S K Mitra, “Digital Signal Processing: A computer based Approach” Tata Mcgraw Hill, India, 3rd Edition, 2007


CIE will consist of TWO Tests, TWO Quizzes and self-study. The test will be for 30 marks each and the quiz for 10 marks each. The self-study component will be for 20 marks and the students are supposed to share orally in the class and submit optimized solution after discussions to faculty in-charge. The total marks for CIE (Theory) will be 100 marks. Scheme of Semester End Examination (SEE)

The question paper will have FIVE questions with internal choice from each unit. Each question will c arry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks.



CO1 L M H L L H -- L M M --

CO2 H H H M M H -- L M M --

CO3 H H H M M H -- L M M --


PSO1 PSO2

CO1 L L

CO2 M L

CO3 M L



ANTENNA SYSTEMS

(Elective Group 1)





This course will enable student to: 1. Understand basic concepts and parameters of various types of antennas in various

frequency bands. 2. Design antennas and antenna arrays for various applications using modern tools. 3. Model Antenna structure using CEM techniques.

Unit – I 10Hrs

Introduction: Review of Radiation mechanism, Solution of Maxwell’s Equations for Radiation Problems, Antenna parameters, Antenna types, Dipole antennas – radiation mechanisms, Field equations, types.

Unit – II 10Hrs

Resonant and Wide band antennas: Helical antennas, Horn and Reflector antennas, Microstrip Patch antennas, Spiral antennas, Log periodic antennas, Lens Antennas, Applications

Antenna arrays – Array factor, Excitation, Mutual coupling, Gain and Directivity, Multidimensional arrays, Phased Array Antenna and Switched array antennas - Feed networks, Power Pattern, Beam Steering, Degree of Freedom, Optimal Antenna, Adaptive Antenna, Smart Antenna , Microstrip Array - feeding methods, Mutual coupling

Unit – III 10Hrs

CEM for Antennas: Method of Moments : Introduction to CEM, Introduction to method of Moments, Pocklington’s integral equation, integral equations and Kirchoff’s Networking Equations, Source Modeling, Weighted residuals, formulations and computational consideration, calculation of antenna and scatter characteristics. Case studies: Modeling of - Wire antenna, Arrays, Radar cross section of antennas, Solid surfaces

Unit – IV 10Hrs

CEM for Antennas : Finite Difference Time Domain Method

Introduction, Maxwell’s equations for FD-TD, Yee algorithm, cell size, numerical stability and Dispersion, FD-TD implementation- Boundary conditions, Source conditions, Near and Far fields. Case study: - Sectorial Horn antenna model

Unit – V 10Hrs

CEM for Antennas : High Frequency Methods

Geometrical Optics , Wedge diffraction theory, Ray fixed coordinate system, Uniform theory of wedge diffraction, Case Studies: E - Plane analysis of Horn antennas, Cylindrical parabolic antenna, Radiation by a slot on a finite ground plane, Radiation by a monopole on a finite ground plane, Equivalent current concepts, multiple diffraction formulation, Diffraction by curved surfaces, Physical optics, method of stationary phase, Physical theory of diffraction, Case Studies: Cylindrical parabolic reflector antennas





CO1: Describe the different parameters and types of antennas. CO2: Analyze the merits and demerits different types of Antennas and their performance

evaluation methods. CO3: Synthesize the radiation characteristics of various antennas. CO4: Model and compute the radiation characteristics and other parameters

Reference Books:

1. Stutzman and Thiele, “Antenna Theory and Design”, John Wiley and Sons, 3rd Edition, 2013

2. C. A. Balanis: “Antenna Theory Analysis and Design”, John Wiley and Sons, 2nd Edition, 1997

3. John D Kraus, Ronald J Marhefka, Ahmad S Khan, “Antennas and Wave Propagation”, Tata McGraw Hill, 4th Edition, 2010.


CIE will consist of TWO Tests, TWO Quizzes and ONE assignment which will consist of familiarization of a modern antenna design and characterization tool. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks.

Scheme of Semester End Examination (SEE) The question paper will have FIVE questions with internal choice from each unit. Each question will carry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks. Mapping of Course Outcomes (CO) to Program Outcomes (PO)


CO1 H H H - - -- -- -- -- -- --

CO2 H H H - H - -- -- -- -- --

CO3 H H H M H - -- -- -- -- M

CO4 H H H M H - -- -- -- -- M


PSO1 PSO2

CO1 L L

CO2 H M

CO3 H L

CO4 M L



DETECTION AND ESTIMATION THEORY

(Elective Group 1)





This course will enable student to: 1. Describe the properties of Signals, their representations & characterization. 2. Analyze Binary hypothesis tests & M-Hypotheses, estimation. 3. Detect and estimate signals in white & Non White Gaussian noise channel conditions. 4. Design multidimensional waveform estimation under various conditions of propagation.

Unit – I 10Hrs

Introduction:

Detection theory in Signal Processing, Detection problem, Mathematical Detection Problem, Hierarchy of Detection Problems, Role of Asymptotic. Introduction to PDFs, Fundamental Probability Density Functions and Properties, Quadratic Forms of Gaussian Random Variables, Asymptotic Gaussian PDF, Neyman-Pearson Theorem, Receiver Operating Characteristics, Irrelevant Data, Minimum Probability of Error, Bayes Risk, Multiple Hypothesis Testing.

Unit – II 10Hrs

Deterministic Signals:

Introduction, Summary, Matched Filters, Generalized Matched Filters, Multiple Signals, Linear Models, Signal Processing Examples.

Unit – III 10Hrs

Random Signals:

Introduction, Summary, Estimator- Correlator, Linear Model, Estimator – Correlator for Large Data Records, General Gaussian Detection, Signal Processing Examples.

Unit – IV 10Hrs

Statistical Decision Theory:

Introduction, Summary, Composite Hypothesis Testing, Composite Hypothesis Testing Approaches, Performance of GLRT for Large Data Records, Equivalent Large Data Records Tests, Locally Most Powerful Detectors, Multiple Hypothesis Testing.

Unit – V 10Hrs

Estimation:

Estimation in Signal Processing, The Mathematical Estimation Problem, Assessing Estimator Performance, Introduction to Minimum Variance Unbiased Estimation, Summary, Unbiased Estimators, Minimum Variance Criterion, Existence of the minimum Variance Unbiased Estimator, Finding the Minimum Variance Unbiased Estimator, definition and properties of Linear Models with Examples.

Expected Course Outcomes: After going through this course the student will be able to: CO1: Explain the importance of various signals, their behavior in different detection and

estimation applications. CO2: Analyze binary hypothesis tests and M-Hypotheses with performance bounds. CO3: Detect and estimate signals in Gaussian and non Gaussian noise. CO4: Design a NP detector, Matched filter, Gaussian detector, Powerful detector, and unbiased

estimator.



Reference Books:

1. Steven M. Kay, "Fundamentals of Statistical Signal Processing", Volume II: “Detection Theory”, Prentice Hall, USA, 1998.

2. Steven M. Kay, "Fundamentals of Statistical Signal Processing," Volume I: "Estimation Theory", Prentice Hall, USA, 1998.

3.

M.D. Srinath, P.K. Rajasekaran and R. Viswanathan, "Introduction to Statistical Signal Processing with Applications”, Pearson Education (Asia) Pte. Ltd. /Prentice Hall of India, 2003.


CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks. Scheme of Semester End Examination (SEE) for Theory




CO1 H H H M L L -- -- -- -- --

CO2 H H H M L L -- -- -- -- --

CO3 H H H M L L -- -- -- -- --

CO4 H H H M L L -- -- -- -- --


PSO1 PSO2

CO1 H L

CO2 H L

CO3 H L

CO4 H L



PROFESSIONAL SKILL DEVELOPMENT

Course Code : 16HSS16 CIE Marks : 50

Hrs/Week : L:T:P:S 0:0:4:0 Credits : 02

Course Learning Objectives (CLO): This course will enable student to:

1. Understand the importance of verbal and written communication 2. Improve qualitative and quantitative problem solving skills 3. Apply critical and logical think process to specific problems 4. Manage stress by applying stress management skills

Unit –I 5Hrs

Communication Skills: Basics of Communication, Personal Skills & Presentation Skills, Attitudinal Development, Self Confidence, SWOC analysis. Resume Writing: Understanding the basic essentials for a resume, Resume writing tips Guidelines for better presentation of facts.

Unit – II 6 Hrs

Quantitative Aptitude and Data Analysis: Number Systems, Math Vocabulary, fraction decimals, digit places etc. Reasoning and Logical Aptitude, - Introduction to puzzle and games organizing information, parts of an argument, common flaws, arguments and assumptions. Verbal Analogies – introduction to different question types – analogies, sentence completions, sentence corrections, antonyms/synonyms, vocabulary building etc. Reading Comprehension, Problem Solving

Unit – III 4 Hrs

Interview Skills: Questions asked & how to handle them, Body language in interview, Etiquette, Dress code in interview, Behavioral and technical interviews, Mock interviews - Mock interviews with different Panels. Practice on Stress Interviews, Technical Interviews, General HR interviews

Unit – IV 5Hrs

Interpersonal and Managerial Skills: Optimal co-existence, cultural sensitivity, gender sensitivity; capability and maturity model, decision making ability and analysis for brain storming; Group discussion and presentation skills;

Unit – V 4Hrs

Motivation and Stress Management: Self motivation, group motivation, leadership abilities Stress clauses and stress busters to handle stress and de-stress; professional ethics, values to be practiced, standards and codes to be adopted as professional engineers in the society for various projects.

Note: The respective departments should discuss case studies, standards and aptitude tests pertaining to their domain.


After going through this course the student will be able to: CO1: Develop professional skill to suit the industry requirement. CO2: Analyze problems using quantitative and reasoning skills CO3: Develop leadership and interpersonal working skills. CO4: Demonstrate verbal communication skills with appropriate body language.



References

1. Stephen R Covey, “The 7 Habits of Highly Effective People”, Free Press, 2004 Edition, ISBN: 0743272455

2. Dale Carnegie, “How to win friends and influence people”, General Press, 1st Edition, 2016, ISBN: 9789380914787

3. Kerry Patterson, Joseph Grenny, Ron Mcmillan, “Crucial Conversation: Tools for Talking When Stakes are High”, McGraw-Hill Publication, 2012 Edition, ISBN: 9780071772204

4. Ethnus, “Aptimithra: Best Aptitude Book”, Tata McGraw Hill, 2014 Edition, ISBN: 9781259058738

Scheme of Continuous Internal Examination (CIE)

Evaluation will be carried out in TWO Phases.

Phase Activity Weightage

I After 5 weeks - Unit 1, 2 & Part of Unit 3 50%

II After 10 weeks – Unit 3, 4, 5 50%

CIE Evaluation shall be done with weightage as follows:

Writing skills 10%

Logical Thinking 25%

Verbal Communication & Body Language 35%

Leadership, Interpersonal and Stress Bursting Skills 30%



CO1 H --- L --- ---- H ---- H H H M

CO2 H M H --- --- --- ---- --- M H M

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II SEMESTER

PROJECT MANAGEMENT

Course Code : 16MEM21P CIE Marks : 100

Hrs/Week : L: T: P: S 3:2:0:0 SEE Marks : 100


Course Learning Objectives:

This course will enable student to: 1. Understand the principles and components of project management. 2. Appreciate the integrated approach to managing projects. 3. Elaborate the processes of managing project cost and project procurements. 4. Apply the project management tools and techniques.

Unit – I 07 Hrs

Introduction: Project, Project management, relationships among portfolio management, program management, project management, and organizational project management, relationship between project management, operations management and organizational strategy, business value, role of the project manager, project management body of knowledge.

Unit – II 08 Hrs

Generation and Screening of Project Ideas: Generation of ideas, monitoring the environment, corporate appraisal, scouting for project ideas, preliminary screening, project rating index, sources of positive net present value. Project Scope Management: Project scope management, collect requirements define scope, create WBS, validate scope, control scope. Organizational influences & Project life cycle: Organizational influences on project management, project state holders & governance, project team, project life cycle.

Unit – III 07 Hrs

Project Integration Management: Develop project charter, develop project management plan, direct & manage project work, monitor & control project work, perform integrated change control, close project or phase. Project Quality management: Plan quality management, perform quality assurance, and control quality.

Unit – IV 07Hrs

Project Risk Management: Plan risk management, identify risks, perform qualitative risk analysis, perform quantitative risk analysis, plan risk resources, control risk. Project Scheduling: Project implementation scheduling, Effective time management, Different scheduling techniques, Resources allocation method, PLM concepts. Project life cycle costing.

Unit-V 07 Hrs

Tools & Techniques of Project Management: Bar (GANTT) chart, bar chart for combined activities, logic diagrams and networks, Project evaluation and review Techniques (PERT) Planning, Computerized project management

Syllabus includes tutorials for one hour per week:

• Case discussions on pro ject management

• Numerical problems on PERT & CPM

• Computerized project management exercises using M S Project Software



Course Outcomes:


CO1: Explain the process of project management and its application in delivering successful projects.. CO2: Illustrate project management process groups for various project / functional applications. CO3: Appraise various knowledge areas in the project management framework. CO4: Develop project plans and apply techniques to monitor, review and evaluate progress for different types of projects.

Reference Books:

1. “A Guide to the Project Management Body of Knowledge (PMBOK Guide)”, Project Management Institute Inc.,5th Edition, 2013, ISBN: 978-1-935589-67-9

2. Harold Kerzner, “Project Management A System approach to Planning Scheduling & Controlling”, John Wiley & Sons Inc., 11th Edition, 2013, ISBN 978-1-118-02227-6.

3 Prasanna Chandra, “Project Planning Analysis Selection Financing Implementation & Review”, Tata McGraw Hill Publication, 7th Edition, 2010, ISBN 0-07-007793-2.

4. Rory Burke, “Project Management – Planning and Controlling Techniques”, John Wiley & Sons, 4th Edition, 2004, ISBN: 9812-53-121-1



The question paper will have FIVE questions with internal choice from each unit. Each question will carry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks. Mapping of Course Outcomes (CO) to Program Outcomes (PO)


CO1 H M M ---- M H H H ---- H ----

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OPTICAL COMMUNICATION AND NETWORKING (Theory and Practice)

Course Code : 16MDC22 CIE Marks : 100+50

Hrs/Week : L:T:P:S 4:0:2:0 SEE Marks : 100+50

Credits : 5 SEE Duration : 3+3 Hrs


This course will enable student to: 1. Appreciate the importance of optical network , essential components and various parametewrs

that govern their performance. 2. Apply the coding formats and transmission engineering principles in optical communication. 3. Design a network topology for a given application. 4. Analyze the client layer interface and usage of network management functions.

Unit – I 10Hrs

Introduction

Introduction to optical fibers, Propagation of signals in optical fiber, Different losses, Effective Length & Area, Stimulated Brillouin Scattering, Stimulated Raman Scattering, Solitons, Propagation in a Non linear medium, Self phase modulation, SPM – induced Chirp for Gaussian pulses, Cross phase Modulation, Optical sources, Detectors.

Unit – II 10Hrs

Optical Components Couplers, Isolators, Circulators, Multiplexers, filters, Gratings, Interferometers, Amplifiers.

Modulation & Demodulation Sequential Decoding and Feedback Decoding, Formats, Ideal Receivers, Practical detection receivers, Optical preamplifier, Noise Considerations, Bit error rates, Coherent detection, Timing Recovery.

Unit – III 10Hrs

Transmission System Engineering

System model, Power penalty, Transmitter, Receiver, Different Optical Amplifiers, Dispersion. Optical networks

Client layers of the optical layer, SONET/SDH, Multiplexing, layers, Frame Structure, ATM functions, Adaptation layers, Quality of service and flow, ESCON, HIPPI.

Unit – IV 10Hrs

WDM network elements

Optical line terminal, Optical line amplifiers, Optical cross connectors, WDM network Design, Cost trade off, statistical dimensioning model, LTD and RWA problems, Routing and wavelength assignment, Wavelength conversion.

Unit – V 10Hrs

Control and Management

Network management functions, Management frame work, Information model, Management protocols, Layers within optical layer performance and fault management, Impact of transparency, BER measurement, Optical trace, Alarm and configuration management.



Unit – VI (Lab Component)

The students are expected to design, use modern tools to develop experiments, study the

performance and infer changes required in their design for:

• Characterization of optical fibers, sources and detectors

• Analysis of Analog, Digital link, TDM, FDM using fiber and optical fiber voice link.

• Study of WDM components, SONETS and topology using Tejas Lab Setup


After going through this course the student will be able to: CO1: Justify the use of optical components, transmission techniques and network management

concepts. CO2: Analyze the performance characteristics of transmitting and receiving components and

systems. CO3: Create a modulation scheme, topology for WDM network and apply network management

functions. CO4: Develop and demonstrate techniques used in optical communication links.

Reference Books:

1. Rajiv Ramswami, N Sivaranjan, “Optical Networks”, M Kauffman Publishers, 2000.

2. Gerd Keiser, “Optical Fiber Communication”, McGraw Hill, 1991.

3. G P Agarwal, “Fiber Optics Communication Systems”, John Wiley and Sons, New York, 2002

4. John M Senoir, “Optical Fiber Communications”," Pearson Education, 2000.


CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks. Scheme of Continuous Internal Evaluation (CIE) for Practical

CIE for the practical courses will be based on the performance of the student in the laboratory, every week. The laboratory records will be evaluated for 40 marks. One test will be conducted for 10 marks. The total marks for CIE (Practical) will be for 50 marks. Scheme of Semester End Examination (SEE) for Theory


Scheme of Semester End Examination (SEE) for Practical SEE for the practical courses will be based on conducting the experiments and proper results for 40 marks and 10 marks for viva-voce. The total marks for SEE (Practical) will be 50 marks.





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REAL TIME EMBEDDED SYSTEM

(Elective Group 2)





This course will enable student to: 1. Analyze embedded system, general computing systems and the issues that arise in designing

real-time systems. 2. Analyze and compare the various scheduling algorithms. 3. Summarize the features of Real-Time Operating Systems and its role in safety-critical

applications. 4. Compare the operating systems used for Desktop and Mobile platforms 5. Create basic applications on Android platform

Unit – I 10Hrs

Introduction to ARM Processor:

Types of computer architectures, Embedded systems hardware and software, Stack Implementation in ARM, Processor core Vs CPU core, ARM7TDMI Interface signals, Memory Interface, Bus cycle types, Register Set, Operational Modes. Instruction format, ARM Core Data flow model, ARM 3-stage Pipeline, ARM family attribute comparison, ARM 5-stage Pipeline, Pipeline hazards, Data forwarding- a hardware solution.

Unit – II 10Hrs

Introduction to Real-Time Systems: Real-Time Systems, Application of Real-Time Systems, A Basic model of a Real-Time System, Characteristics of Real-Time Systems, Safety and Reliability, Types of Real-Time Tasks, Timing Constraints and its classification, Modeling Timing constraints.

Unit – III 10Hrs

Real-Time Task Scheduling:

Important concepts in Scheduling, Types of Real- Time Tasks and their characteristics, Task Scheduling, Classification of Real-Time Task Scheduling Algorithms, Clock-Driven Scheduling, Table-Driven Scheduling, Cyclic Schedulers, Hybrid Schedulers

Unit – IV 10Hrs

Scheduling Algorithms:

Event-Driven Scheduling, Earliest Deadline First (EDF) Scheduling, Rate Monotonic Algorithm (RMA), Deadline Monotonic Algorithm (DMA), Context Switching Overhead, Numerical.

Unit – V 10Hrs

Real-Time Operating Systems:

Introduction, Time Services, Clock Interrupt Processing, Providing High Clock Resolution, Timers, Features of Real-Time Operating Systems. Android Basics: Introduction to mobile computing, installing of required software and preparing the working environment, Android Development Environment, Layouts, Views, Resources, Activities, Intents, Background tasks Case Studies: Vx Works, QNX





CO1: Identify the requirements of a real time embedded systems. CO2: Apply the various task scheduling algorithms for real-time systems. CO3: Develop real-time communication systems using ARM processor. CO4: Create applications on Android based mobile platform.

Reference Books:

1. Rajib Mall, “Real-Time Systems: Theory and Practice”, Pearson, 2008, ISBN: 9788131700693.

2. Andres N. SLOSS, Dominic Symes and Chris Wright, "ARM System Developers Guide, Designing and Optimizing System Software”, Elsevier, 2004, ISBN:1-55860-874-5.

3. Bill Phillips, Chris Stewart, Brian Hardy and Kristin Marsicano, “Android Programming (Big Nerd Ranch Guide)” Pearson, 2nd Edition, 2015, ISBN-10 0134171497

4. Hellman, “Android Programming – Pushing the limits”, Wiley, 2013, ISBN: 978-1-118-71737-0.






CO1 H M M M H L L - M - L



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OBJECT ORIENTED PROGRAMMING CONCEPTS

(Elective Group 2)





This course will enable student to: 1. Understand and Analyze the role of Object Oriented programming approach in design and

development of software systems. 2. Create classes, instances & Inner classes in Java, Aplet class, Servlets and its applications. 3. Apply oops concepts and java programming knowledge to design software applications. 4. Design and implement elementary Data Structures such as arrays, lists, Stacks, Queues, trees

and graphs using C++ and Java.

Unit – I 10Hrs

Overview of C++ Principles of object-objective Programming, Tokens, Expressions and control structures, Classes and Objects, functions in C++, Destructors and constructor.

Unit – II 10Hrs

Features and Concepts of C++

Operator Overloading and Type Conversions, Inheritance: Extending Classes, Pointers, Virtual functions and polymorphism, Exception handling, Templates.

Unit – III 10Hrs

Introduction to Java: Introduction, Data types, variables, and arrays, operators, control statements, Introducing classes, a closer look at methods and classes, inheritance, packages and interfaces.

Unit – IV 10Hrs

Features and Concepts of JAVA Java Classes, Exception handling, Multithreaded programming, enumerations, Introduction to Java GUI, The applet class, Introducing the AWT, A Tour of Swing.

Unit – V 10Hrs

Data Structures and Applications Linear lists, Linked list, Arrays and Matrices, Stacks, Queues, Trees and Graphs.

Case Studies


After going through this course the student will be able to: CO1: Exhibit program design and implementation competence through the choice of

programming language. CO2: Design a new data structure based on the need of the application using C++ and Java. CO3: Identify how choice of data structures influences the performance of programs. CO4: Visualize the need of appropriate data structure in solving Real-life problems.

Reference Books:

1.

E. Balaguruswamy, “Object Oriented Programming with C++”, McGraw Hill, Company Ltd., 4th Edition, 2012, ISBN: 0070593620.

2. Herbert Schildt, “Java The Complete Reference J2SE”, Tata McGraw Hill, 5th Edition, 2007.

3. Bruce Eckel, “Thinking in Java”, Pearson education, 3rd Edition, 2003.

4. Sartaj Sahni, “Data Structures, Algorithms, and Applications in C++”, McGraw Hill, 2000,



ISBN: 0-929306-33-3.


CIE will consist of TWO Tests, TWO Quizzes and ONE assignment. The test will be for 30 marks each and the quiz for 10 marks each. The assignment will be for 20 marks. The total marks for CIE (Theory) will be 100 marks. Scheme of Semester End Examination (SEE)




CO1 M M H M M H -- L M M L

CO2 M M H M M H -- L M M L

CO3 M M H M M H -- L H M L

CO4 M M H M M H -- L H M L


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ADVANCED VLSI DESIGN

(Elective Group 3)



Credits : 4 SEE Duration : 3Hrs


This course will enable student to: 1. Understand and appreciate the working of MOS transistors with second-order effects. 2. Appreciate the need of low power VLSI design. 3. Realize digital logic circuits using variants of CMOS circuits. 4. Propose an IC design flow for a given application. 5. Apply various testing methodologies in VLSI design

Unit – I 10Hrs

Introduction: Review of MOS Transistor theory, MOSFET scaling, Small-geometry effects, Design of CMOS inverters with VTC, Design rules, Supply voltage scaling in CMOS inverters.

Unit – II 10Hrs

CMOS Circuits:

Pass transistors, Voltage Bootstrapping, Dynamic CMOS circuit technique: CMOS Transmission gate logic, Dynamic CMOS logic, Domino CMOS logic, NORA CMOS logic, Zipper CMOS circuits, TSPC Dynamic circuits, BiCMOS circuits.

Unit – III 10Hrs

Design Methodology, Design flows, Interchange formats:

Clock system architecture, Global clock generation, Global clock distribution, Local clock gaters.

Unit – IV 10Hrs

Low-Power CMOS Logic Circuits: Overview of power consumption, Low-power design through voltage scaling, Estimation and optimization of switching activity, Adiabatic logic circuits.

Unit – V 10Hrs

Testability and Verification:

Logic verification, manufacturing tests, test programs, Logic verification principles, Silicon debug principles, Fault models, Controllability and Observability, DFT: Ad-hoc, Scan-based, and BIST techniques, Boundary scan.

Expected Course Outcomes: After going through this course the student will be able to: CO1: Apply the MOS transistor theory in CMOS VLSI design. CO2: Analyze the various design flows in IC design and clock generation/distribution networks. CO3: Justify the need of scaling, low power design, testing and verification in CMOS IC

design. CO4: Realize digital circuits using variants of CMOS logic and verify for testability.

Reference Books:

1. Sung-Mo Kang and Yusuf Leblebici, “CMOS Digital Integrated Circuits”, Tata McGraw Hill, 3rd Edition, 2012.

2.

Neil H.E. Weste, David Harris and Ayan Banerjee, “CMOS VLSI Design: A Circuits and Systems Perspective”, Pearson education, 3rd Edition, 2011.

3. Harry Veendrick, “Deep-Submicron CMOS ICs”, Kluwer academic publishers, 2nd Edition,



2000.

4. Douglas A. Pucknell, and Kamran Eshraghian, “Basic VLSI Design”, 3rd Edition, PHI, 2002



Scheme of Semester End Examination (SEE) The question paper will have FIVE questions with internal choice from each unit. Each question will carry 20 marks. Student will have to answer one question from each unit. The total marks for SEE (Theory) will be 100 marks.



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SOFTWARE DEFINED NETWORKS

(Elective Group 3)





This course will enable student to: 1. Compare software defined networks with regular data networks. 2. Understands different architectures, working principles, protocols, specifications, applications

of SDN in different environments 3. Use of different network elements for building SDN’s 4. Acquire knowledge to develop, analyze and evaluate different SDN for different

telecommunication applications.

Unit – I 10Hrs

Software Defined Networking:

Introduction, Why SDN? , Evolution of Switches and Control Planes, Cost, SDN Implications for Research and Innovation, Data Center Innovation, Data Center Needs, The Genesis of SDN, The Evolution of Networking Technology, Forerunners of SDN, Software Defined Networking is Born, Sustaining SDN Interoperability, Open Source Contributions, Legacy Mechanisms Evolve Toward SDN, and Network Virtualization.

Unit – II 10Hrs

How SDN Works: Fundamental Characteristics of SDN, SDN Operation, SDN Devices, SDN Controller, SDN Applications, Alternate SDN Methods, The Open Flow Specification, Open Flow Overview, Open Flow 1.0 and Open Flow Basics, Open Flow 1.1 Additions, Open Flow 1.2 Additions, Open Flow 1.3 Additions, Open Flow Limitations.

Unit – III 10Hrs

Alternative Definitions of SDN: Potential Drawbacks of Open SDN, SDN via APIs, SDN via Hypervisor-Based Overlays, SDN via Opening Up the Device, Network Functions Virtualization, Alternatives Overlap and Ranking, SDN in the Data Center, Data Center Definition, Data Center Demands, Tunneling Technologies for the Data Center, Path Technologies in the Data Center, Ethernet Fabrics in the Data Center, SDN Use Cases in the Data Center, Open SDN versus Overlays in the Data Center, Real-World Data Center Implementations

Unit – IV 10Hrs

SDN in Other Environments:

Consistent Policy Configuration, Global Network View, Wide Area Networks, Service Provider and Carrier Networks, Campus Networks, Hospitality Networks, Mobile Networks, In-Line Network Functions, Optical Networks, SDN vs. P2P/Overlay Networks, Players in the SDN

Ecosystem, Academic Research Institutions, Industry Research Labs, Network Equipment Manufacturers, Software Vendors, White-Box Switches, Merchant Silicon Vendors, Original Device Manufacturers, Enterprises, Standards Bodies and Industry Alliances.

Unit – V 10Hrs

SDN Applications: Before You Begin, Reactive versus Proactive Applications, Analyzing Simple SDN Applications,

A Simple Reactive Java Application, Background on Controllers, Using the Floodlight Controller, Using the Open Daylight Controller, Using the Cisco XNC Controller, Using the Hewlett-Packard



Controller, Switch Considerations, Creating Network Virtualization Tunnels, Offloading Flows in the Data Center, Access Control for the Campus, Traffic Engineering for Service Providers.


After going through this course the student will be able to: CO1: Describe SDN architecture & networking, working of SDN, Alternative definitions of

SDN, SDN in other environments and SDN applications. CO2: Analyze the merits and demerits of SDN, SDN architecture, open flow specifications,

Alternative definitions of SDN, SDN in the other environments & applications. CO3: Apply the principle of SDN architecture & networking, open flow specifications for

developing data centre, commercial & professional networks using SDN elements of reputed vendors.

CO4: Evaluate the merits and demerits of different types of software defined network elements for both commercial & professional applications.

Reference Books:

1. Paul Goransson, Chuck Black, “Software Defined Networks: A Comprehensive approach”, Elsevier, 2014.

2. Andreas F. Molisch, “Wireless Communications”, John Wiley & Sons Ltd, 2nd Edition, 2011.

3. Patricia A. Morreale, James M. Anderson, “Software Defined Networking design and deployment”, CRC Press, 2015.






CO1 H M H -- -- -- -- -- -- -- --

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ERROR CONTROL CODING

(Elective Group 4)





This course will enable student to: 1. Apply channel coding to provide reliable transmission of information over the channel. 2. Develop various types of Channel coding techniques. 3. Apply linear algebra and finite fields to design codes. 4. Design efficient encoders and decoders. 5. Analyze the various relations between minimum distance and error-correcting and error-

detecting capability. 6. Explain the basics of block codes, cyclic codes and other codes.

Unit – I 10Hrs

Introduction to Algebra: Groups, Fields, Construction of Galois Field GF (2m) and its basic properties, Vector spaces and Matrices

Linear Block Codes: Generator and Parity check Matrices, Encoding circuits, Syndrome and Error Detection, Minimum Distance Considerations, Error detecting and Error correcting capabilities, Standard array and Syndrome decoding, Decoding circuits.

Unit – II 10Hrs

Cyclic Codes: Introduction, Generator and Parity check Polynomials, Encoding using Multiplication circuits, Systematic Cyclic codes – Encoding using Feed back shift register circuits, Generator matrix for Cyclic codes, Syndrome computation and Error detection, Meggitt decoder, Error trapping decoding.

Unit – III 10Hrs

BCH Codes: Binary primitive BCH codes, Decoding procedures, Implementation of Galois field Arithmetic, Implementation of Error correction. RS codes: Reed – Solomon Codes, Decoding of Non – Binary BCH and RS codes:-The Berlekamp - Massey Algorithm. Majority Logic Decodable Codes: One – Step Majority logic decoding, Two – step Majority logic decoding, Multiple – step Majority logic decoding.

Unit – IV 10Hrs

Concatenated Codes : Single level Concatenated codes, Multilevel Concatenated codes Turbo Codes: Introduction to Turbo coding and their distance properties, Design of Turbo codes. LDPC: Introduction to LDPC, Tanner graphs for linear block codes, Geometric construction of LDPC codes, decoding of LDPC codes.

Unit – V 10Hrs

TCM: Introduction, TCM code construction BCM: Distance concepts, Multi level BCM, Multistage decoding of Multi level BCM, Concatenated coded modulation Burst Error Correcting Codes: Concept of burst error correction, Fire codes, Interleaved codes, product codes, burst and random error correcting codes, Berlekamp - Perparata codes.


After going through this course the student will be able to: CO1: Apply the concepts of linear algebra in channel encoding and decoding CO2: Analyze properties of different codes and their selection for communication applications. CO3: Develop Encoding and decoding algorithms



CO4: Design and implement encoding and decoding circuits.

Reference Books:

1. Shu Lin & Daniel J. Costello, Jr. “Error Control Coding” Pearson / Prentice Hall, 2nd Edition, 2004.

2. R.E Blahut, “Theory and Practice of Error Control Codes”, Addison Wesley, 1984.

3. F.J. Mac Williams and N.J.A. Slone, “The Theory of Error Correcting Codes” North Holland, 1977.






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WIRELESS SENSOR NETWORKS

(Elective Group 4)

Course Code : 16MDC252/16MRM252 CIE Marks : 100


Credits : 4 SEE Duration : 3Hrs

Course Learning Objectives (CLO): This course will enable student to: 1. Understand the architecture, standards and applications of wireless sensor networks(WSN). 2. Analyze the need and structure of MAC protocol for WSN. 3. Develop WSN protocols and analyze their performance. 4. Identify the need and selection of operating system for WSN.

Unit – I 10Hrs

Introduction, Overview and Applications of Wireless Sensor Networks

Introduction, Basic overview of the Technology, Applications of Wireless Sensor Networks: Introduction, Background, Range of Applications, Examples of Category 2 WSN Applications, Examples of Category 1 WSN Applications, Another Taxonomy of WSN Technology

Unit – II 10Hrs

Basic Wireless Sensor Technology and Systems: Introduction, Sensor Node Technology, Sensor Taxonomy, WN Operating Environment, WN Trends, Wireless Transmission Technology and Systems: Introduction, Radio Technology Primer, Available Wireless Technologies

Unit – III 10Hrs

MAC and Routing Protocols for Wireless Sensor Networks:

Introduction, Background, Fundamentals of MAC Protocols, MAC Protocols for WSNs, Sensor-MAC case Study, IEEE 802.15.4 LR-WPANs Standard Case Study. Routing Protocols for

Wireless Sensor Networks:

Introduction, Background, Data Dissemination and Gathering, Routing Challenges and Design Issues in WSNs, Routing Strategies in WSNs.

Unit – IV 10Hrs

Transport Control and Middleware for Wireless Sensor Networks : Traditional Transport Control Protocols, Transport Protocol Design Issues, Examples of Existing Transport Control Protocols, Performance of Transport Control Protocols. Middleware for Wireless Sensor Networks: Introduction, WSN Middleware Principles,

Middleware Architecture, Existing Middleware. Unit – V 10Hrs

Network Management and Operating System for Wireless Sensor Networks : Introduction, Network Management Requirements, Traditional Network Management Models, Network Management Design Issues. Operating Systems for Wireless Sensor Networks: Introduction, Operating System Design Issues, Examples of Operating Systems.


After going through this course the student will be able to: CO1: Describe the type of sensor networks, protocols and applications of WSN. CO2: Identify various hardware, software platforms for sensor networks CO3: Analyze the design issues of MAC and Physical layers of WSN. CO4: Create architecture and Identify need and selection of protocols for WSN.



Reference Books:

1. Kazem Sohraby, Daniel Minoli, TaiebZnati, “Wireless Sensor Networks: Technology, Protocols and Applications:, Wiley , 2nd Edition (Indian) , 2014

2. Ian F. Akyildiz, Mehmet Can Vuran "Wireless Sensor Networks", Wiley, 2010

3. Feng Zhao & Leonidas J. Guibas, “Wireless Sensor Networks- An Information Processing Approach", Elsevier, 2007



Scheme of Semester End Examination (SEE) for Theory




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MINOR PROJECT





This course will enable student to: 1. Understand the method of applying engineering knowledge to solve specific problems.

2. Apply engineering and management principles while executing the project

3. Demonstrate the skills for good presentation and technical report writing skills.

4. Identify and solve complex engineering problems using professionally prescribed standards.

GUIDELINES

1. Each project group will consist of maximum of two students.

2. Each student / group has to select a contemporary topic that will use the technical knowledge of

their program of study after intensive literature survey.

3. Allocation of the guides preferably in accordance with the expertise of the faculty.

4. The number of projects that a faculty can guide would be limited to four.

5. The minor project would be performed in-house.

6. The implementation of the project must be preferably carried out using the resources available

in the department/college.

Course Outcomes: After completion of the course the student would be able to:

CO1: Conceptualize, design and implement solutions for specific problems. CO2: Communicate the solutions through presentations and technical reports. CO3: Apply resource managements skills for projects CO4: Synthesize self-learning, team work and ethics.

Scheme of Continuous Internal Examination (CIE)

Evaluation will be carried out in THREE Phases. The evaluation committee will comprise of FOUR members: guide, two senior faculty members and Head of the Department.

Phase Activity Weightage

I Synopsis submission, Preliminary seminar for the approval of selected topic and Objectives formulation

20%

II Mid-term seminar to review the progress of the work and documentation 40%

III Oral presentation, demonstration and submission of project report 40%

**Phase wise rubrics to be prepared by the respective departments

CIE Evaluation shall be done with weightage / distribution as follows:

• Selection of the topic & formulation of objectives 10%

• Design and simulation/ algorithm development/experimental setup 25%

• Conducting experiments / implementation / testing 25%

• Demonstration & Presentation 15%

• Report writing 25%



Scheme for Semester End Evaluation (SEE):

The evaluation will be done by ONE senior faculty from the department and ONE external faculty member from Academia / Industry / Research Organization. The following weightages would be given for the examination. Evaluation will be done in batches, not exceeding 6 students.

1. Brief write up about the project 5% 2. Presentation / Demonstration of the project 20% 3. Methodology and Experimental Results & Discussion 25% 4. Report 20% 5. Viva Voce 30%



CO1 M M H H H --- --- M --- H H

CO2 ---- --- ---- --- H ---- --- H H H ----

CO3 H H M --- M M H H --- M H

CO4 --- H ---- --- ---- H M M M H ---


PSO1 PSO2

CO1 M L

CO2 M H

CO3 L M

CO4 H H

Documents

Department of Telecommunication Engineering Master of ... DCE Syllabus _1.pdfDepartment of Telecommunication Engineering M. Tech – Digital Communication Engineering Scheme and Syllabus