6.3.3 Summary Report on professional development /administrative training programs
organized by the institution for teaching and non -teaching staff
The report on the programs conducted in the institution are enclosed with list of
year wise programs, list of each participants in each program along with
photographs ,date & caption during the last five years.
Sno Academic Year Number of Programs 1 2018-2019 67
2 2017-2018 81
3 2016-2017 51 4 2015-2016 65
5 2014-2015 40
1 of 13
6.3.3 Average number of professional development / administrative training programs organized by the Institution for teaching and non-
teaching staff during the last five years (5)
Year Sl.
No. Title of the professional development program organized for teaching staff
Dates (from-
to)(TEACHING
STAFF)
No. of
participants
(Teaching
staff)
2018-2019
2018-2019
1 FDP on GST in India 13th May 2019 10
2 fiancial services 14th May 2019 10
3 New Treds in work life balance 15th May 2019 10
4 Emerging treds in HRM 16th May 2019 10
5 Emerging treds in organizational behaviour 17th May 2019 10
6 Analysis of Space complexity of Algorithm 07.07.2018 19
7 Elliptic Curve Cryptography 13.07.2018 15
8 Social Networks 21.07.2018 18
9 DNA Computing 28.07.2018 13
10 Computer Peripherals 04.08.2018 21
11 COBRA Technology 10.08.2018 24
12 Digital Light Processing 18.08.2018 18
13 IoT 24.08.2018 13
14 Data Science 01.09.2018 16
15 Virtual Reality 07.09.2018 19
16 Raspberry pi 15.09.2018 22
17 Browser Security 22.09.2018 24
2 of 13
18 iCloud 29.09.2018 18
19 Text Mining 06.10.2018 16
20 Ethical Hacking 12.10.2018 23
21 Semantic Web 20.10.2018 21
22 Quantum Theory 26.10.2018 17
23 Modular Computing 01.12.2018 12
24 Pervasive Computing 07.12.2018 17
25 Analysis of 3-D Images 15.12.2018 23
26 Phython 28.12.2018 19
27 Virtual Private Network 05.01.2019 20
28 Intrusion Detection System 11.01.2019 21
29 Artificial Neural Network 19.01.2019 18
30 Voice Over Internet Protocol 25.01.2019 22
31 NP Problems 08.02.2019 17
32 Firewalls 16.02.2019 19
33 Cellular Communication 23.02.2019 22
34 Testing 02.03.2019 21
35 MANET 08.03.2019 23
36 Bio-Molecular Computing 16.03.2019 18
37 Virtual Keyboard 23.03.2019 17
38 Laser Communication 30.03.2019 15
39 Data Recovery 06.04.2019 16
3 of 13
40 Web Operating System 12.04.2019 19
41 Parallel Database 20.04.2019 20
42 Genetic Algorithms 27.04.2019 16
43 Disease Prediction using Data Mining 04.05.2019 22
44 Linux Operating System 14.05.2019 19
45 Crypto Watermarking for Medical Images 25.05.2019 21
46 Emerging trends in corporate finance 18th May 2019 10
47 BIGDATA 25 TH APR 2019 8
48 VIRTUAL REALITY 26TH APR 2019 9
49 DEVOPS 27TH APR 2019 8
50 AUGMENTED REALITY 26TH APR 2019 8
51 MACHINE LEARNING 29 TH APR 2019 8
52 PYTHON PROGRAMMING 30TH APR 2019 8
53 PATTERN RECOGNITIO 30TH Aug 2018 5
54 THE PROTECTION AND ENFORCEMENT OF INTELLECTUAL PROPERTY RIGHTS 10TH OCT 2018 5
55 Bloom 's taxonomy 27.12.2018 to 29.12.2018
32
56 Signal Systems and Probability 17.12.2018 to 18.12.2018
10
57 Digital system 21.12.2018 12
58 pedagogical perceptive of swayam -MOOCs 15.5.2019 to 17.5. 2019
34
59 Digital Communication Techniques 20.05.2019 to 21.05.2019
5
60 Digital Coding Techniques 24.05.2019 to 25.05.2019
2
4 of 13
61 Digital Signal Processor and ARM Processor 06.06.2019 to 07.06.2019
4
62 Analog and Digital IC design using Cadence
12.06.2019 to 13.06.2019
11
63 Virtual Instrumentation using LabVIEW
17.06.2019 to 18.06.2019
8
64 Modelling and Simulation Tools in Electronics and Communication Engineering 27.06.2019 to
29.06.2019 12
65 Instructional Design and Delivery System
04.07.2019 to 05.07.2019
30
Non Teaching
66 Tally ERP 9 22-23 feb 2019 6
67 Workshop on Installation of Linux OS
14-15 Dec 2018 5
2017-2018
2017-2018
1 Seminar on Affect of Branding on Consumer Purchase Decision 6-7 oct 2017 20
2 Seminar on Today's Challanges for HRM-A New Interpretation 6-7 oct 2017 20
3 Seminar on Analysis of Mutual Fund and Portfolio Management in Mutual Fund 10-11 oct 2017 23
4 Seminar on Adjusting Compensation and Maintaining Morale and Productivity in Difficult Times 10-11 oct 2017 23
5 Seminar on Audit Of Bank 12-13 oct 2017 15
6 Seminar on Softwares used in the Human resource Accounting 12-13 oct 2017 15
7 Seminar on Corporate Control and Value Destruction 23-24 oct 2017 18
8 Seminar on Employee Satisfaction Survey 23-24 oct 2017 18
9 Seminar on Equity Analysis of Banks 30-31 oct 2017 20
10 Seminar on Organisation Climate Survey 30-31 oct 2017 20
11 IOT using NodeMCU 11-16 DEC 17 42
12 Workshop on Installation of Linux OS 11-13 DEC 17 0
13 FDP on IoT Using Node MCU 11th to 16th 12
5 of 13
DeC’17
14 PLC & SCADA 22nd to 27th May’17
19
15 IOT using NodeMCU 11-16 DEC 17 42
16 Workshop on Installation of Linux OS 11-13 DEC 17 6
17 Automated Testing Tools 17.12.2016 8
18 Clustering in Machine Learning 7.1.2017 15
19 Security of RSA Alogirthm 21.1.2017 16
20 Project Management Process 4.2.2017 4
21 IOT 10.2.2017 9
22 Intrusion Detection System 18.2.2017 15
23 Hadoop Scala 28.2.2017 18
24 Turing Machine 4.3.2017 6
25 Parallelizing code 10.3.2017 17
26 Elliptic curve Cryptography 25.3.2017 15
27 Jquery 31.3.2017 20
28 Vehicle Number Plate Extraction 1.4.2017 15
29 Public key cryptography on modern graphics hardware 15.4.2017 26
30 Image Annotation 22.4.2017 21
31 Natural Language Processing 29.4.2017 15
32 Elastic Search Engine 27.5.2017 17
33 Cluster Computing 5.7.2017 18
34 Quantum Cryptography 15.7.2017 16
35 Semantic Web 22.7.2017 12
36 Research ontology Data Models 29.7.2017 20
37 Sql Injection Prevention System 5.8.2017 18
38 Intrusion Detection Syatem 11.8.2017 15
39 Traffic sign detection 19.8.2017 17
40 Detection of Adulteration 26.8.2017 13
6 of 13
41 Data Leakage Detection 2.9.2017 17
42 XML 8.9.2017 8
43 Hive 16.9.2017 16
44 Secure File Storage on Cloud 23.9.2017 17
45 Machine Learning 30.9.2017 15
46 Fuzzy Logic 7.10.2017 17
47 Phython 13.10.2017 19
48 Embedded Web Technology 21.10.2017 21
49 Vehicle Detection 28.10.2017 22
50 Data Streaming in Hadoop 2.12.2017 21
51 Secure Instant Messaging Service based on Elliptic-CurveCryptography 8.12.2017 22
52 Segmentation of 3-D Images 16.12.2017 19
53 Website Designing 30.12.2017 15
54 A Refresher course on Electrical & Electronics Engineering 11th to 19th June’18
14
55 Managerial Economics 4/6/2018 30
56 Research methodology 6/6/2018 25
57 Introduction to Accounting 8/6/2018 30
58 Rural Marketing 11/6/2018 25
59 Planning and decision making 13/6/2018 25
60 Performance Management 14/6/2018 25
61 HTML5 6.1.2018 12
62 Bootstrap 20.1.2018 15
63 High Security Encryption 27.1.2018 18
64 File Organization 3.2.2018 19
65 Decidable and Undecidable problems 9.2.2018 21
66 3D Reconstruction of Images 17.2.2018 24
7 of 13
67 Indexing in B,B++ 24.2.2018 19
68 Cache Optimizations 3.3.2018 18
69 Regular Languages and Expression 9.3.2018 17
70 Multimedia Database 17.3.2018 16
71 Securing mobile phone calls with identity-based cryptography 24.3.2018 17
72 Vector Computers 31.3.2018 15
73 Cancer Prediction Using Data Mining 7.4.2018 17
74 Open GL 13.4.2018 16
75 Intelligent Networks 21.4.2018 9
76 Misc 28.4.2018 10
77 Web Image ReRanking 5.5.2018 17
78 5G-Wireless 19.5.2018 5
79 Li-Fi Technology 26.5.2018 18
Non Teaching Staff
80 Workshop on Installation of Linux OS 11-13 DEC 17 6
81 GST profession 17-22 July 2017 2
2016-2017
2016-2017
1 Workshop on Big Data and Hadoop Applications 8-10 OCT 2016 28
2 Workshop on Configuration of Local Area Networks 8-10 OCT 2016 5
3 Simulation techniques and introduction to the latest software’s in Electrical and
Electronics Engineering 6th to 11th June’16
12
4 Workshop on Big Data and Hadoop Applications 8-10 OCT 2016 28
5 Workshop on Configuration of Local Area Networks 8-10 OCT 2016 5
6 Image Blurring and Deblurring 8.1.2016 11
7 Software Metrics 16.1.2016 12
8 Intruders 23.1.2016 13
9 Transmission Modes 30.1.2016 18
8 of 13
10 BackTracking Algorithms 6.2.2016 16
11 Subnetting `12.2.2016 12
12 Distributed Shared Memory 20.2.2016 10
13 Image Denoising 27.2.2016 9
14 IP Addressing 10.3.2016 8
15 Image Recognition using Image Segmentation 5.3.2016 7
16 Distributed Systems 19.3.2016 9
17 Heap 26.3.2016 8
18 PushDown Automata 2.4.2016 7
19 Ethical Hacking 16.4.2016 6
20 Parallel Computers 23.4.2016 2
21 Inter Domain Routing 30.4.2016 8
22 Memory Virtualization 7.5.2016 9
23 Algorithm Complexity 21.5.2016 10
24 Fuzzy sets 28.5.2016 12
25 Unified Modelling Languages 8.7.2016 14
26 Multivariate Regression 15.7.2016 12
27 Dependency Inversion Principle 29.7.2016 10
28 BrainTumor Detection 5.8.2016 17
29 Polynomial Time Complexity 6.8.2016 18
30 Interpreter Design Pattern 20.8.2016 20
31 Data Flow Analysis 27.8.2016 12
32 Security of RSA 9.9.2016 19
33 Mining Techniques 17.9.2016 21
34 Memory Transfer 24.9.2016 24
35 Deadlock Prevention 1.10.2016 12
36 Linear Regression 7.10.2016 10
37 Dimensionality Reduction 15.10.2016 18
9 of 13
38 Ambigious Grammar 22.10.2016 17
39 Seminar on Financial Accounting 3-7 june 2016 15
40 Seminar on Capital Budgeting 11-13 june 2016 18
41 Seminar on Leadership and change management 14-15 june 2016 20
42 Seminar on Human Resource planning 17-19 june 2016 22
43 Seminar on Investment decisions 20-22 june 2016 25
44 Seminar on Performance management 24-26 june 2016 16
45 Seminar on Mergers and Acquisitions 24-26 june 2016 16
46 Seminar on Theories of Motivation 27-29 june 2016 18
47 Network Security 29.10.2016 19
48 Secret Key Cryptography Using Graphics Cards 3.12.2016 21
Non Teaching Staff
49 Workshop on Configuration of Local Area Networks 8-10 OCT 2016 5
50 Analysisng Data with power BI & Power Excel 22-27 Aug 2016 3
51 Spread Sheet On Accounting And Finance 22-27 Aug 2016 2
2015-2016
2015-2016
1 Seminar on Equity Analysis of Banks 2-4 sep -2015 18
2 Seminar on Employee Assistance Programs 2-4 sep -2015 18
3 Seminar on External Debt Management 7-9 sep 2015 25
4 Seminar on Recruitment & Job Search 7-9 sep 2015 25
5 Seminar on Foreign Direct Investment 10-11 sep 2015 20
6 Seminar on Challenges for HR 10-11 sep 2015 20
7 Seminar on Impact on Shareholders Wealth in M&A Episode 14-16 sep 2015 22
8 Seminar on Managing a Diverse Workforce - Impacts and Rewards 14-16 sep 2015 22
9 Seminar on Responsibility Accounting 17-18 sep 2015 23
10 Seminar on Career Success & Mentoring 17-18 sep 2015 23
11 Seminar on Working Capital Management 21-22 sep 2015 24
12 Seminar on Developing Less Subjective Employee Appraisals 21-22 sep 2015 24
10 of 13
13 Workshop on Cloud Computing 15-16 JUNE 2015 35
14 Seminar on General computer Maintenance 15-16 JUNE 2015 0
15 Workshop on Cloud Computing 15-16 JUNE 2015 35
16 Seminar on General computer Maintenance 15-16 JUNE 2015 5
17 Pipelining 20.1.2015 19
18 Robust Pedestrian detection 31.1.2015 20
19 Functional Point Analysis 9.2.2015 17
20 System Recovery 2.3.2015 28
21 Context Free Grammar 15.4.2015 30
22 Tries 20.5.2015 12
23 NP Completeness 4.7.2015 14
24 Digital Watermarking 10.7.2015 12
25 Speech Recognition 18.7.2015 10
26 Cloud Storage 25.7.2015 9
27 Hash Functions 7.8.2015 15
28 Image Resizing 15.8.2015 18
29 Data Duplication Removal 22.8.2015 12
30 Active Directory Domain Service 29.8.2015 20
31 Dynamic Programming 5.9.2015 4
32 Logistic Regression 11.9.2015 7
33 Code optimization 19.9.2015 9
34 Selenium 26.9.2015 10
35 BioMedical Data Mining 1.10.2015 12
36 Job Scheduling 8.10.2015 21
37 Data Access Object Pattern 17.10.2015 16
38 Lightweight cryptography 24.10.2015 13
39 Risk Management 31.10.2015 21
11 of 13
40 Pseudo Polynomial 5.12.2015 23
41 MAC Filtering 11.12.2015 22
42 Knowledge Discovery 15.12.2015 11
43 QTP 19.12.2015 9
44 Seminar on Commodity Futures 6-7 jun 2016 18
45 Seminar on Getting the Best Employees 6-7 jun 2016 16
46 Seminar on Cash Management 13-14 jun 2016 20
47 Seminar on Human Capital Management 13-14 jun 2016 15
48 Seminar on Corporate Governance 17-18 jun 2016 18
49 Seminar on Employee Background check on social media 17-18 jun 2016 18
50 Seminar on Currency Derivatives 20-21 jun 2016 20
51 Seminar on Human resource issues in trans cultural organizations 20-21 jun 2016 20
52 Seminar on Credit Appraisal Process in SME Sector of State Bank of India 24-25 jun 2016 23
53 Seminar on Employee Satisfaction Survey & Organisation Climate Survey 24-25 jun 2016 23
54 Seminar on Direct Selling 24-25 jun 2016 25
55 Seminar on External Debt Management 27-28 jun 2016 25
56 Software Configuration Management 27-28 jun 2016 10
57 Red Black Tree 20-21 jun 2016 25
58 Data Warehousing 13-14 jun 2016 24
59 Regular Expressions In Automata 13-14 jun 2016 12
60 Seminar on Outsourcing HR functions 29-30 jun 2016 22
61 Seminar on Financial Planning and Forecasting 29-30 jun 2016 22
Non Teaching Staff
62 Seminar on E Tally 13-14 jun 2016 10
63 Seminar on IT work shop 24-25 jun 2016 5
64 Seminar on General computer Maintenance 15-16 JUNE 2015 5
65 Smart Accountant 16-21 Nov 2015 3
2014-2015
12 of 13
2014-
2015
1 Seminar on Leasing and Borrowing 4-6 August 2014 25
2 Seminar on Trainimg methods 7-8 August 2014 22
3 seminar on Recruitment, Reward and Retention 11-12 August
2014 29
4 Seminar on Commodity Cycles in Emerging Markets 13-14 August
2014 15
5 Seminar on Organizational Citizenship Behavior 18-19 August
2014 24
6 Seminar on Impact of Income Taxes and Inflation 22-24 August
2014 20
7 Seminar on sustaining High-Performing Employees 25-26 August
2014 25
8 Seminar on Brand Evaluation for Financial Investment and Customer Satisfaction
Measurement
25-26 August
2014 24
9 Seminar on Helping Employees Achieve Better Work/Life Balance 27-28 August
2014 26
10 Seminar on Emergence of Initial Public Offers as an Investment Avenue 27-28 August
2014 22
11 Seminar on Organizational Commitment 28-29 August
2014 25
12 Seminar on Foreign Direct Investment 28-29 August
2014 22
13 Seminar on Employee Laws, Topics and Issues 30-Aug-14 25
14 Seminar on Advanced Concepts in Data Mining 6-9 SEP 2014 38
15 Seminar on Intelligent Web Era
22-24 MARCH 2014 44
16 Workshop on Basic Troubleshooting of Computers 17 -19 JULY 14 0
17 Seminar on Advanced Concepts in Data Mining 6-9 SEP 2014 38
18 Seminar on Intelligent Web Era
22-24 MARCH 2014 44
19 Workshop on Basic Troubleshooting of Computers 17 -19 JULY 14 3
20 Manual Testing methods 22.1.2014 5
13 of 13
21 Hard Problems 10.2.2014 26
22 PHP 15.3.2014 22
23 UML Analysis Model 17.4.2014 21
24 Segment Tree 15.5.2014 15
25 Discrete Wavelet Transform 10.6.2014 12
26 Ethical Hacking 22.1.2014 15
27 Stegnography 29.7.2014 25
28 Software Testing 13.8.2014 24
29 Distributed Computing 8.10.2014 36
30 cloud Computing 13.8.2014 25
31 DFA and NFA 12.11.2014 40
32 Seminar on Testing Tool 17 -19 JULY 14 35
33 UML Diagrams 5.12.2014 28
Non Teaching Staff
34 Workshop on Basic Troubleshooting of Computers 17 -19 JULY 14 3
35 Tally ERP 9 8-13 Sep 2014 3
36 Spread Sheet On Accounting And Finance 18-23 Nov 14 2
37 seminar on Information Technology Work Shop 18-23 Nov 14 5
38 seminar on MAT lab 17 -19 JULY 14 5
39 mainatnce of DSP lab 10.6.2014 4
40 maintance of Hardware equipments 22.1.2014 5
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 18/6/2019
Two Day’s Professional Development Program
On
Analog and Digital IC design using Cadence
12.06.2019 to 13.06.2019
A Two Day’s Professional Development Program was conducted from 06/06/2019 to 07/06/2019. 4
faculties from ECE department participated and benefited from this training program. Dr.V.Balaji Professor
and Head of the department delivered the welcome address. The trainers initiated the lecture with the
introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr.G. Ramprabu 1. Introduction to Cadence and its various tools. 2. Basics of mixed signal design using Cadence Virtuoso.
12th June 2019
2
Dr.R Sivakumar
1. Implementation of NC Launch and RTL Compiler for Digital Circuit using Verilog. 2. Extraction of RC Components and Generation of GDSII file.
13th June 2019
Event Photos
1.Dr.G. Ramprabu ,“ Introduction to Cadence and its various tools” on 12th June 2019.
2. Dr.R Sivakumar,” Implementation of NC Launch and RTL Compiler for Digital Circuit using Verilog”
on13th June 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to how to
align their teaching in such a way to build industry ready student. The session was full of activities which
helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 03/01/2019
Three Day’s Professional Development Program
On
Bloom’s Taxonomy
27.12.2018 to 29.12.2018
A Three Day’s Professional Development Program was conducted from 27/12/2018 to
29/12/2018. 32 faculties from ECE department participated and benefited from this training
program. Dr.V.Balaji, Professor and Head of the department delivered the welcome address. The
trainers initiated the lecture with the introduction about their topics.
S.no.
Name of the faculty
Topic
Date
1
Dr. N.V .Sharma Importance of Bloom’s Taxonomy in teaching methodology
27th December 2018
2
Mr. K. Tulasiram Remembering, Understanding, Applying, Analyzing, Evaluating, Creating
28th&29th December 2018
Event Photos
1.Dr. N.V .Sharma “Importance of Bloom’s Taxonomy in teaching methodology” on 27th December 2018
2.Mr. K. Tulasiram” Remembering, Understanding, Applying, Analyzing, Evaluating, Creating” on28th&29th
December 2018
The session was really interesting and very useful as it helped the faculties to gain more
insights in to how to align their teaching in such a way to build industry ready student. The session
was full of activities which helped all the faculties to understand things in a more interesting and
better way.
.
Attendance Sheet
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 28/5/2019
Two Day Professional Development Program
On
Digital Coding Techniques
24.05.2019 to 25.05.2019
A Two Day’s Professional Development Program was conducted from 24/05/2019 to 25/05/2019.
12 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
Sno
Name of the faculty
Topic
Date
1
Dr. P. Suneel Kumar
1. Information Theory 2. PCM,DPCM,DM 3. Linear Block Codes
24th May 2019
2 Mr. S. Jagadeesh
1. Compression Techniques: Huffman coding, image Compression Audio and Video Coding: mpeg
25th May 2019
Event Photos
Dr. P. Suneel Kumar “ Information Theory” on24th May 2019
Mr. S. Jagadeesh ” Compression Techniques” on 25th May 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to how to
align their teaching in such a way to build industry ready student. The session was full of activities which
helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 24/5/2019
Two Day’s Professional Development Program
On
Digital Communication Techniques
20-05-2019 to 21-05-2019
A Two Day Faculty Development Program was conducted from 20/5/2019 to 21/5/2019. 15
faculties from ECE department participated and benefited from this training program. Dr. V. Balaji,
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture
with the introduction about their topics.
S.No.
Name of the faculty
Topic
Date
1
Dr. Indrajeeth Singh 1. Sampling and PCM 2. Error detecting and correcting codes
20th May 2019
2 Mr.K.Tulasiram
1. Baseband and Pass band Transmission 2. Digital Modulation Techniques 3.Spread Spectrum Techniques
21th May 2019
Event Photos
Dr. Indrajeeth Singh “Error detecting and correcting codes” on 20th May 2019
Mr.K.Tulasiram ” Digital Modulation Techniques” on 21th May 2019
The session was really interesting and very useful as it helped the faculties to gain more
insights in to how to align their teaching in such a way to build industry ready student. The session
was full of activities which helped all the faculties to understand things in a more interesting and
better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 12/6/2019
Two Day’s Professional Development Program
On
Digital Signal Processor and ARM Processor
06.06.2019 to 07.06.2019
A Two Day’s Professional Development Program was conducted from 06/06/2019 to 07/06/2019.
14 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr .C Karthik 1.Introduction to DSP: DFT,FFT 2.Introduced the Texas Instrument's processor’s family
06th June 2019
2 Dr.V.Prasad
1.ARM Processors 2. Instruction set of ARM Processor
07th June 2019
Event Photos
1.Dr .C Karthik “Lab Session on Texas Instrument ” on 06th June 2019
2. Dr.V.Prasad ” ARM Processors” on 07th June 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 27/12/2018
One Day Faculty Development Program
On
Digital System
21/12/2018
A One Day Faculty Development Program was conducted on 21/12/2018. 12 faculties from ECE
department participated and benefited from this training program. Dr. V. Balaji Professor and Head of the
department delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
S.No
Name of the faculty
Topic
Date
1
Dr. Indrajeeth Singh
1. Basic Digital Systems 2. VHDL Fundamentals 3. Programmable Logic Devices
21st December 2018
Event Photos
Dr. Indrajeeth Singh “ Basic Digital Systems” on 21st December 2018
The session was really interesting and very useful as it helped the faculties to gain more insights in
to how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 10/07/2019
Two Day’s Professional Development Program
On
Instructional Design and Delivery System
04.07.2019 to 05.07.2019
A Two Day’s Professional Development Program was conducted from 04/07/2019 to 05/07/2019.
08 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr. N. Veda Kumar 1. Facilitator Selection Criteria 2. In creating more engaging and effective learning experiences
04th July 2019
2 Dr. Indrajeeth Singh
1. Learner characteristics
2. How to Develop Learning Activities 3. TEACHING/LEARNING METHODS
05th July 2019
Event Photos
Dr. N. Veda Kumar” Facilitator Selection Criteria” 04th July 2019
Dr. Indrajeeth Singh ” TEACHING/LEARNING METHODS” 05th July 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 03/07/2019
Three Day’s Professional Development Program
On
Modeling and Simulation Tools in Electronics and Communication Engineering
27.06.2019 to 29.06.2019
A Three Day’s Professional Development Program was conducted from 17/06/2019 to 18/06/2019.
08 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr. Indrajeeth Singh PCB Design, NI Multisim 27th June 2019
2
Mr. K. Sivanagireddy Kalli Cadence, Lab view 28th June 2019
3
Dr. Indrajeeth Singh Matlab, Octave 29th June 2019
Event Photos
Mr. K. Sivanagireddy Kalli ” Cadence, Lab view” on 28th June 2019
Dr. Indrajeeth Singh”Lab Session on Tools” on 29th June 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 22/05/2019
Three Day’s Professional Development Program
On
Pedagogical Perceptive of Swayam - MOOCs
15.05.2019 to 17.05.2019
A Three Day’s Professional Development Program was conducted from 15/05/2019 to 17/05/2019.
08 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr.V.Balaji 1. Sensitizing and creating the awareness about the Digital Initiatives of GOI in Higher Education. 2. Instructional Design for MOOC Development.
15th May 2019
2
Mr. SivaNagi Reddy Kalli
1. E-Content Development ( Script Writing/ Video Recording) 2. Video Recording and Screen Capturing tools.
16th May 2019
3 Dr. P. Suneel Kumar
1.To train the participants to use Moodle-MOOC.
17th May 2019
Event Photos
1.Dr.V.Balaji” Design for MOOC Development” on 15th May 2019.
2. Mr. SivaNagi Reddy Kalli “Video Recording and Screen Capturing tools” on 16th May 2019
3. Dr. P. Suneel Kumar “Hands on Experience- MOOC’s “ on 17th May 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 21/12/2018
Two Day’s Professional Development Program
On
Signal Systems and Probability
17-12-2018 to 18-12-018
A Two Day’s Professional Development Program was conducted from 17/12/2018 to 18/12/2018. 10
faculties from ECE department participated and benefited from this training program. Dr.V.Balaji Professor and
Head of the department delivered the welcome address. The trainers initiated the lecture with the introduction
about their topics.
S.no.
Name of the faculty
Topic
Date
1
Dr. V. Balaji 1. Signal Analysis 2. Signal Transmission through systems 3. Fourier Analysis 4. Sampling
17th December 2018
2
Dr. K.Mohana Ram 1. Random Processes of spectral Characteristics
18thDecember 2018
Event Photos
Dr. V. Balaji ” Signal Analysis” on 17th December 2018
Dr. K.Mohana Ram” Random Processes of spectral Characteristics” on 18thDecember 2018
The session was really interesting and very useful as it helped the faculties to gain more insights in to how to align
their teaching in such a way to build industry ready student. The session was full of activities which helped all the
faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
DATE: 22/06/2019
Two Day’s Professional Development Program
On
Virtual Instrumentation using Lab view
17.06.2019 to 18.06.2019
A Two Day’s Professional Development Program was conducted from 17/06/2019 to 18/06/2019.
08 faculties from ECE department participated and benefited from this training program. Dr.V.Balaji
Professor and Head of the department delivered the welcome address. The trainers initiated the lecture with
the introduction about their topics.
S.No
Name of the faculty
Topic
Date
1
Dr. K. Murali Babu 1.Introduction and importance of Lab View 2.Basics of Lab View Programming 3.Signal Processing toll box
17th June 2019
2 . Mr. K.Tulasiram
1.Arrays 2.strings 3.File I/O’s
18th June 2019
Event Photos
Mr. K.Tulasiram ”Hands on Experience –Lab View” on 18th June 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of activities
which helped all the faculties to understand things in a more interesting and better way.
Attendance Sheets:
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
DATE: 30/6/2014
Eleven Days Faculty Development Program
16/6/2019 to 27/6/2014
REPORT
A 11 Days Faculty Development Program was conducted from 16/6/2014 to 27/6/2014. 11 faculty from
EEE department participated and benefited from this training program. Dr D. Padmavathi Head and
Professor delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
Sno
Name of the faculty
Topic
Date
1
Dr.D.Padmavathi Feeders and bus bar protection 16 JUNE 2014
2
A.Ganga Dinesh Kumar Electric traction 17 JUNE 2014
3
Ch.Santosh kumar Hydro thermal scheduling 18 JUNE 2014
4
D.Swathi Mapping between S-Plane and Z-Plane 19 JUNE 2014
5 A.Naveen kumar
Voltage control and Power factor improvement
20 JUNE 2014
6
G.V.Swathi Time varying fields 21 JUNE 2014
7
M.DivyaVani Carona in EHV Lines 23 JUNE 2014
8
K. Lavanya LVDT 24 JUNE 2014
9
J K Sony Controlled Rectifiers 25 JUNE 2014
Event Photos
Mrs.G.V.Swathi - Time varying fields on 21st June 2014
Mrs.D.Swathi- Mapping between S-Plane and Z-Plane 19th June 2014
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better w
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
DATE: 29/6/2015
Nine Days Faculty Development Program
18/6/2015 to 26/6/2015
REPORT
A 9 Days Faculty Development Program was conducted from 18/6/2015 to 26/6/2015. 9 faculty from
EEE department participated and benefited from this training program. Dr D. Padmavathi Head and
Professor delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
Sno
Name of the faculty
Topic
Date
1
Dr.D.Padmavathi Thermal Power Station 18 JUNE 2015
2 D.Swathi
Construction and Working Principle Of
Alternator 19 JUNE 2015
3
A.Ganga Dinesh Kumar Series And Parallel Resonance 19JUNE2015
4 G.V.Swathi Root Locus 20 JUNE 2015
5 J K Sony AC Voltage Controllers 22 JUNE 2015
6 K Ashwini Scott Connection 23 JUNE 2015
7 P. Swathi
Starting Methods Of 3-Phase Induction
Motors 24 JUNE 2015
8 G.SwatHI Different Types Of Flip-Flops 25 JUNE 2015
9 B.Swetha Differential Relays 26 JUNE 2015
Event Photos
Mrs.B.Swetha- Differential Relay on 26th June 2015
Mrs-P.Swathi- Starting Methods Of 3-Phase Induction motor on 24th June 2015
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
DATE: 14/6/2016
Eleven Days Faculty Development Program
01/6/2016 to 11/6/2016
REPORT
A 11 Days Faculty Development Program was conducted from 1/6/2016 to 11/6/2016. 11 faculty from
EEE department participated and benefited from this training program. Dr D. Padmavathi Head and
Professor delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
Sno
Name of the faculty
Topic
Date
1
Dr.D.Padmavathi Power factor Improvement Methods 1 JUNE 2016
2 A.Ganga Dinesh Kumar Converter Faults and Protection 3 JUNE 2016
3 J K Sony
Theory & Practice of Conventional Circuit
Breaker and modern circuit breakers 4 JUNE 2016
4 D.Swathi Transformers 6 JUNE 2016
5 P. Swathi
Construction Of Circle Diagram Of Induction
Motor 7 JUNE 2016
6 G.Swathi Corona Effect And Skin Effect 8 JUNE 2016
7
B.Swetha
Network topology
9 JUNE 2016
8 B.Lakshmi Prasanna Bode plot 9 JUNE 2016
9 Sk.Parveen Calibration Of Meters 10 JUNE 2016
10 A.Madhavi
Different Types Of Substations 10 JUNE 2016
Event Photos
Mrs.Dr.D.Padmavathi-Power factor Improvement Methods on 1 June 2016
Mrs.P.Saritha- Double Field Revolving theory on 11th June 2016
Mrs.P.Swathi- Construction Of Circle Diagram Of Induction on 7th
June 2016
Mrs. B.Lakshmi Prasanna-Bode plot on 9th June 2016
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
DATE:09/6/2017
Twelve Days Faculty Development Program
27/6/2017 to 06/6/2017
REPORT
A 12 Days Faculty Development Program was conducted from 27/6/2017 to 06/6/2017. 12 faculty from
EEE department participated and benefited from this training program. Dr D. Padmavathi Head and
Professor delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
Sno
Name of the faculty
Topic
Date
1
Dr.D.Padmavathi Load –Frequency Control 1 JUNE 2016
2 A.Ganga Dinesh Kumar Reactive Power Control In HVDC 3 JUNE 2016
3 J K Sony Four quadrant operation of DC drives 4 JUNE 2016
4 D.Swathi DC Machines 6 JUNE 2016
5 P. Swathi Synchronous machines 7 JUNE 2016
6 G.Swathi Z-Transforms 8 JUNE 2016
7
B.Swetha Network Theorems 9 JUNE 2016
8 K.Rajani
Bridges: Wheat Stone Bridge, Kelvin Bridge, and
Maxwell Bridge 9 JUNE 2016
9 K.Harini
Electromagnetic waves
10 JUNE 2016
10 V.Sony
3-phase converters 10 JUNE 2016
Event Photos
-
Mrs.B.Swetha- Network Theorems on 9th June 2016
Mrs. P. Swathi-Synchronous machines 7th June 2016
P.Saritha- Transient Analysis on 11th June 2016
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way.
DEPARTMENT OF ELECTRICAL AND ELECTRONICS
DATE:09/6/2018
Ten Days Faculty Development Program
25/6/2018 to 06/6/2018
REPORT
A 10 Days Faculty Development Program was conducted from 25/6/2018 to 06/6/2018. 10 faculty from
EEE department participated and benefited from this training program. Dr D. Padmavathi Head and
Professor delivered the welcome address. The trainers initiated the lecture with the introduction about
their topics.
Sno
Name of the faculty
Topic
Date
1
Dr.D.Padmavathi Power System Stability Analysis
25 JUNE 2018
2
Dr.A.Ganga Dinesh Kumar
Power Flow Analysis in AC/DC Systems 26 JUNE 2018
3
D.Swathi Parallel Operation of Synchronous Generator 27 JUNE 2018
4
B.Swetha 3-Phase Inverters 28 JUNE 2018
5
P.Swathi Parallel operation of Alternators 29 JUNE 2018
6
P.Srividya
Gas Power Stations 30 JUNE 2018
7 V.Sony
Nyquist Plot 2 July 2018
8 Pulipaka Sreelatha
Network topology 3 JULY 2018
9
P.Saritha State Space Analysis
4 JULY 2018
10 K.Pradeep
Single phase transformers 5 JULY 2018
Event Photos
Mr. K.Pradeep-Single phase transformers on 5thJuly 2018
V.Sony- Nyquist Plot 2nd July 2018
Mrs.Dr.D.Padmavathi-Power System Stability Analysis on 25th June 2018
Mrs.P.Sreelatha-Network topology on 3rd July 2018
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way.
DEPARTMENT OF INFORMATION TECHNOLOGY
Five Day Faculty Development Program
25 /4/2019 to 30/4/2019
REPORT
A Five Day Faculty Development Program was conducted from 25 /4/2019 to 30/4/2019. 5 faculty
from IT Department and 10 faculties from various departments participated and benefited from this
training program. Dr P.Avinash Head of Department delivered the welcome address. The Faculties
initiated the lecture with the introduction about their topics.
Participated Faculty list of IT Department
BIGDATA:
The objectives of big data are: Understanding and Targeting Customers: Big data helps an
organization understand its customers better, and helps it narrow down the target audience,
thus improving their marketing campaign. Taking Strategic Decisions: With big data,
businesses can take data-backed decisions.
Virtual Reality:
The Virtual Reality provides a learning environment which uses the potential of 3D
technology to enable learners from different contexts and different educational sectors and
to meet and interact, learn with customized
S.NO
NAME OF THE
FACULTY
TOPIC
DATE
1
DR. P. AVINASH
BIG DATA
25 TH APR
2019
2
MRS.SHAMAL
TELKER
VIRTUAL
REALITY,AUGMENT
REALITY
26 TH APR
2019
3
MRS.M.KAVITHA
DEVOPS
27TH APR
2019
4
MRS.SWAPNA.C
MACHINE
LEARNING
29 TH APR
2019
5 MR.NARENDRA
KUMAR
PYTHON
PROGRAMMING
30TH APR
2019
DevOps Objectives:
Introduce Code Review System.
Automate Build.
Automate Testing.
Automate Deployment.
Automate Monitoring.
Automate Issue Tracking.
Augmented Reality:
Augmented Reality (AR) is a groundbreaking technology which enhances the real world by
virtual objects in order to create a new mixed realityenvironment.
MachineLearning:
The purpose of machine learning is to discover patterns in your data and then make
predictions based on those often, complex patterns to answer business questions, and help
solve problems. Machine learning helps analyze your data and identify trends.
Python programming:
To understand why Python is a useful scripting language for developers. To learn how to
design and program Python applications. To learn how to use lists, tuples, and dictionaries
in Python programs.
OUTCOMES:
The discussed topics are very useful for the participants. All the sessions are vey much interactive.
Participats got the knowledge of latest trends.
Event photos:
Date: 27th Apr 2018 Topic: DEVOPPS Name:Ms.Kavitha Date: 30th Apr 2018 Topic: python programming Name:Mr.Narendra kumar.
DEPARTMENT OF INFORMATION TECHNOLOGY
REPORT
ON
“The protection and enforcement of intellectual property
rights”
TOPIC OF THE SEMINAR:-The protection and enforcement of intellectual
property rights.
SPEAKER:-Dr Tapas, Mr. Bandapadhyay Assistant professor Rajiv Gandhi
School of intellectual property law
DATE OF THE SEMINAR: 10thOCT, 2018
ABOUT THE SEMINAR:-
Mr T. Bandapadhayay introduced the concept of Intellectual Property (IP) in the
contemporary digitalized world. The different types of IP were elaborated upon,
thus bringing in the question of Intellectual Property Rights, which can and
must be exercised. When tying the knot with the industry for tangible reward
based utilisation of new ideas, a prior awareness and knowledge of IPR is sine
qua non. Finally, the lights were upon how the academia can indoctrinate local
artisans into the productive market possibilities by instructing these groups
about IP & IPR.
PARTICIPATED FACULTY LIST
Sl.No. Faculty Name
1. Mr.D.SUBRAMANYAM
2. Ms.AARUNI GIRIRAJ
3. Ms.D.SREELATHA
4. Ms.K.SAMATHA
5. Ms.N. NAMRATHA
Event photo:
Date: 10thOCT, 2018 Topic: “The protection and enforcement of intellectual property rights”, Name: Mr.Bandapadhyay
&participated faculty etc.
OUTCOME:- The faculty and staff were happy with this copious inflow of
details enriching their rudimentary awareness about IP & IPR. The faculty felt
empowered to better guide students with potential for innovation: meaningfully
motivating them towards a reward based window.
DEPARTMENT OF INFORMATION TECHNOLOGY
An Industry Academic Innovative Practice
REPORT
ON
“PATTERN RECOGNITION”
Resource Person: Prof. Bekkam Venkateshwara Rao
Date: 30th Aug 2018
This is organized by It department . 5 faculty from IT department and 10 faculties
from various departments attended and benefited from this program. Ms. M.kavitha
delivered the welcome address
Participated faculty list of IT Department
PATTERN RECOGNITION
Pattern recognition is the process of recognizing patterns by using machine learning
algorithm. Pattern recognition can be defined as the classification of data based on
knowledge already gained or on statistical information extracted from patterns and/or their
representation.
S.NO NAME
1 Ms.M.KAVITHA
2 Ms.N.NAMRATHA
3 Ms.N.NITHEESHA
4 Ms.C.SWAPNA
5 Ms.SHAMAL TELKAR
Examples:
Speech recognition, speaker identification, multimedia document recognition (MDR),
automatic medical diagnosis. In a typical pattern recognition application, the raw data is
processed and converted into a form that is amenable for a machine to use. Pattern
recognition involves classification and cluster of patterns.
In classification, an appropriate class label is assigned to a pattern based on an
abstraction that is generated using a set of training patterns or domain knowledge.
Classification is used in supervised learning.
Clustering generated a partition of the data which helps decision making, the specific
decision making activity of interest to us. Clustering is used in an unsupervised
learning.
Features may be represented as continuous, discrete or discrete binary variables. A feature is
a function of one or more measurements, computed so that it quantifies some significant
characteristics
Example: consider our face then eyes, ears, nose etc are features of the face.
A set of features that are taken together, forms the features vector.
Example: In the above example of face, if all the features (eyes, ears, nose etc) taken
together then the sequence is feature vector([eyes, ears, nose]). Feature vector is the sequence
of a features represented as a d-dimensional column vector. In case of speech, MFCC
(Melfrequency Cepstral Coefficent) is the spectral features of the speech. Sequence of first 13
features forms a feature vector.
Pattern recognition possesses the following features:
Pattern recognition system should recognise familiar pattern quickly and accurate
Recognize and classify unfamiliar objects
Accurately recognize shapes and objects from different angles
Advantages:
Pattern recognition solves classification problems
Pattern recognition solves the problem of fake bio metric detection.
It is useful for cloth pattern recognition for visually impaired blind people.
It helps in speaker divarication.
We can recognise particular object from different angle.
Disadvantages:
Syntactic Pattern recognition approach is complex to implement and it is very slow
process.
Sometime to get better accuracy, larger dataset is required.
It cannot explain why a particular object is recognized.
Example: my face vs my friend’s face.
Applications:
Image processing, segmentation and analysis
Pattern recognition is used to give human recognition intelligence to machine which is
required in image processing.
Computer vision
Pattern recognition is used to extract meaningful features from given image/video
samples and is used in computer vision for various applications like biological and
biomedical imaging.
Seismic analysis
Pattern recognition approach is used for the discovery, imaging and interpretation of
temporal patterns in seismic array recordings. Statistical pattern recognition is
implemented and used in different types of seismic analysis models.
Radar signal classification/analysis
Pattern recognition and Signal processing methods are used in various applications of
radar signal classifications like AP mine detection and identification.
Speech recognition
The greatest success in speech recognition has been obtained using pattern
recognition paradigms. It is used in various algorithms of speech recognition which
tries to avoid the problems of using a phoneme level of description and treats larger
units such as words as pattern.
Finger print identification
The fingerprint recognition technique is a dominant technology in the biometric
market.
Event photo:
Date: 30th Aug 2018 Topic: “PATTERN RECOGNITION” Participated Faculty:
Nitheesha etc.
Outcomes:
What is Pattern Recognition?
Advantages and Disadvantages
Applications of Pattern Recognition
DEPARTMENT OF INFORMATION TECHNOLOGY
An Industry Academic Innovative Practice
REPORT
ON
“R PROGRAMMING”
Resource Person: Prof. Bekkam Venkateshwara Rao
Date: 26th Aug 2017
This is organized by It department . 6 faculty from IT department and 10 faculties from
various departments participated and benefited from this program. Mr.B. Radha krishna
delivered the welcome address.
Participated faculty list of IT Department
R Programming Language
R is a programming language developed by Ross Ihaka and Robert Gentleman in 1993.
R possesses an extensive catalogue of statistical and graphical methods. It includes machine
learning algorithm, linear regression, time series, and statistical inference to name a few.
Most of the R libraries are written in R, but for heavy computational task, C, C++ and Fortran
codes are preferred.
S.NO FACULTY NAME
1 Mr.B.RADHA KRISHNA
2 Ms.T.SATYA KIRANMAI
3 Ms.C.SWAPNA
4 Ms.N.NITHEESHA
5 Mr.K.MURALIDHAR
6 Ms.K.SAMATHA
R is not only entrusted by academic, but many large companies also use R programming
language, including Uber, Google, Airbnb, Facebook and so on.
Data analysis with R is done in a series of steps; programming, transforming, discovering,
modelling and communicate the results
• Program: R is a clear and accessible programming tool
• Transform: R is made up of a collection of libraries designed specifically for data
science
• Discover: Investigate the data, refine your hypothesis and analyse them
• Model: R provides a wide array of tools to capture the right model for your data
• Communicate: Integrate codes, graphs, and outputs to a report with R Markdown or
build Shiny apps to share with the world.
Why use R?
Data science is shaping the way companies run their businesses. Without a doubt,
staying away from Artificial Intelligence and Machine will lead the company to
fail. The big question is which tool/language should you use?
They are plenty of tools available in the market to perform data analysis. Learning
a new language requires some time investment. The picture below depicts the
learning curve compared to the business capability a language offers. The negative
relationship implies that there is no free lunch. If you want to give the best insight
from the data, then you need to spend some time learning the appropriate tool,
which is R.
Should you choose R?
Data scientist can use two excellent tools: R and Python. You may not have time to learn
them both, especially if you get started to learn data science. Learning statistical modelling
and algorithm is far more important than to learn a programming language. A programming
language is a tool to compute and communicate your discovery. The most important task in
data science is the way you deal with the data: import, clean, prep, feature engineering,
feature selection. This should be your primary focus. If you are trying to learn R and Python
at the same time without a solid background in statistics, its plain stupid. Data scientist are
not programmers. Their job is to understand the data, manipulate it and expose the best
approach. If you are thinking about which language to learn, let's see which language is the
most appropriate for you.
The principal audience for data science is business professional. In the business, one big
implication is communication. There are many ways to communicate: report, web app, and
dashboard. You need a tool that does all this together.
Advantages of R Programming
• R is the most comprehensive statistical analysis package as new technology and ideas
often appear first in R.
• R is open-source software. Hence anyone can use and change it.
• R is an open source. We can run R anywhere and at any time, and even sell it under
conditions of the license.
• R is good for GNU/Linux and Microsoft Windows. R is cross-platform which runs on
many operating systems.
• In R, anyone is welcome to provide bug fixes, code enhancements, and new packages.
Disadvantages of R Programming
• In R, quality of some packages is less than perfect.
• In R, no one to complain, if something doesn’t work.
• R is a software Application that many people devote their own time to developing.
• R commands give little thought to memory management, and so R can consume all
available memory.
Event Photo:
Date:26th Aug 2017 Topic: R PROGRAMMING Name: Bekkam Venkateshwara Rao
Outcomes:
What is R programming?
Purpose of R.
Advantages and Disadvantages of R.
\
DEPARTMENT OF INFORMATION TECHNOLOGY
REPORT
ON
“Intellectual Property rights”
TOPIC OF THE SEMINAR:- Intellectual Property rights
SPEAKER:- Dr Tapas , Kr. Bandapadhyay Assistant professor Rajiv Gandhi School of
intellectual property law.
DATE OF THE SEMINAR: 14th OCT, 2017
Oganized by: Department of IT
This is organized by It department . 5 faculty from IT department and 10 faculties from
various departments attended and benefited from this program. Mr.kamal delivered the
welcome address.
Participated faculty list of IT Department
ABOUT THE SEMINAR:-
Dr T. Bandopadhaya introduced the concept of Intellectual Property (IP) in the contemporary
digitalized world. The different types of IP were elaborated upon, thus bringing in the
question of Intellectual Property Rights, which can and must be exercised. When tying the
knot with the industry for tangible reward based utilisation of new ideas, a prior awareness
and knowledge of IPR is sine qua non. Finally, the lights were upon how the academia can
S.NO NAME
1 Dr.b.Radhakrishna
2 Dr.Avinash
3 Ms.T.Satya kiranmai
4 Ms.Y.G.Deepa
5 Ms.B.lakshmi Narayana
indoctrinate local artisans into the productive market possibilities by instructing these groups
about IP & IPR.
Date:14th OCT, 2017 Topic: Intellectual Property rights Name: Dr Tapas
OUTCOME:- The faculty and staff were happy with this copious inflow of details enriching
their rudimentary awareness about IP & IPR. The faculty felt empowered to better guide
students with potential for innovation: meaningfully motivating them towards a reward based
window.
DEPARTMENT OF INFORMATION TECHNOLOGY
An Industry Academic Innovative Practice
REPORT
ON
“ARTIFICIAL INTELLIGENCE”
Resource Person: Dr Aarathi,JNTUH
Date: 01st Sept 2016
This is organized by It department . 5 faculty from IT department and
10 faculties from various departments participated and benefited from this program.
Dr B.Radha krishna Professor delivered the welcome address.
Participated faculty list of IT Department
ARTIFICIAL INTELLIGENCE
Artificial intelligence (AI) is the simulation of human intelligence processes by machines,
especially computer systems. These processes include learning (the acquisition of
information and rules for using the information), reasoning (using rules to reach approximate
or definite conclusions) and self-correction.
S.NO NAME
1 Mr.Dr.B.Radha Krishna
2 Mr.K.Rama Krishna
3 Ms.Y.G.Deepa
4 Ms.H.Swetha Deepika
5 Mr.D.Venkatesh
Artificial intelligence is a branch of computer science that aims to create intelligent machines.
It has become an essential part of the technology industry.
Research associated with artificial intelligence is highly technical and specialized. The core
problems of artificial intelligence include programming computers for certain traits such as:
• Knowledge
• Reasoning
• Problem solving
• Perception
• Learning
• Planning
• Ability to manipulate and move objects
Machine learning is also a core part of AI. Learning without any kind of supervision requires
an ability to identify patterns in streams of inputs, whereas learning with adequate
supervision involves classification and numerical regressions. Classification determines the
category an object belongs to and regression deals with obtaining a set of numerical input or
output examples, thereby discovering functions enabling the generation of suitable outputs
from respective inputs. Mathematical analysis of machine learning algorithms and their
performance is a well-defined branch of theoretical computer science often referred to as
computational learning theory.
Machine perception deals with the capability to use sensory inputs to deduce the different
aspects of the world, while computer vision is the power to analyse visual inputs with a few
sub-problems such as facial, object and gesture recognition.
Robotics is also a major field related to AI. Robots require intelligence to handle tasks such
as object manipulation and navigation, along with sub-problems of localization, motion
planning and mapping.
Goals of AI:
The main AI goals are mentioned below,
Creating expert systems:
The systems which are mentioned here should have the ability to display intelligent
behaviour, learn, demonstrate, explain, and provide the users with the best pieces of advice.
Implementing Intelligence in machines:
This intends to develop systems which can understand, think, learn, and behave like humans.
Applications of AI:
Artificial intelligence AI has a huge impact on many of the fields and some of them are
mentioned below,
Gaming:
It plays an important role in strategic games like chess, tic tac toe etc. Here the machine
should be able to think of multiple possible steps based on heuristic knowledge.
Natural Language Processing:
Able to communicate with the computers that understand human used natural language.
Expert Systems:
There are a few applications which incorporate machine, programming, and some special
data to confer thinking and prompting. They give clarification and exhortation to the users.
Vision Systems:
These type of systems are able to understand, interpret and grasp visual input on the
computer.
Ex: A spying plane or drone takes pictures, which are utilized to make sense of spatial data or
guide of the zones and areas.
Speech Recognition:
You will find some systems which are able to understand the language which is used by
humans and talk to them. They can even understand the slang, background noise, accent etc.
Handwriting Recognition:
This special software will be able to read the text written either by a pen or stylus on paper or
screen respectively. It also understands the letter shapes and will convert it into editable text.
Intelligent Robots:
Robots are one of the best creation by humans. They can do multiple tasks within no time.
Though they cannot be alternate to humans but are very efficient when doing any tasks.
They are comprised of sensors which detect few physical data like light, heat, temperature,
movement, pressure etc just like humans. They also possess good processors and huge
memory.
Event photo:
Date:1st sept 2016 Topic: Artificial Intelligence Name: Dr.Aarathi
Outcomes:
What is Artificial intelligence?
Goals and Applications of Artificial intelligence.
DEPARTMENT OF INFORMATION TECHNOLOGY
REPORT
ON
“Probiotics An emerging field of Industrial
Academic Interest”
Topic :- Probiotics An emerging field of Industrial Academic
Interest Speaker :- Dr. Pradeep Kumar, Assistant Professor,
Department of Microbiology, Vidyasagar University
Date of the Seminar: 15thOCT, 2016
Organized by:Department of IT
Participated faculty list of ITDepartment
ABOUT THE SEMINAR Dr. Pradeep Kumar very clearly and prominently addressed
that probiotics are live organisms, which when administered in adequate amounts
confer a health benefit on the host. He brought forward the essence that the ancient
Indian Culture already had deep relations with probiotics which are not carried forward
by our modern Indian Society, resulting in an exponential growth of diseases. Besides
these, he also described the different types of bacteria, their structure, their occurrence,
and their useful and harmful nature, their mode of action (as probiotics).
Dr. Mahapatra explained the different characteristics of probiotic organisms. Is friendly
presentation mode made the participants concentrate on the seminar and give a joyful
appearance? Out come through this valuable seminar, the participants were benefitted
in the following manner –
S.NO FACULTY NAME 1 Mr. K.RAMA KRISHNA
2 Mr.M.KAVITHA
3 Mr.H.SWETHA DEEPIKA
4 Mr.D.VENKATESH
i) The participants came to know about the concept of probiotics and tried to link
probiotics to their day to day food habits.
ii) They asked different questions to the resource persons and got satisfying
answers.
iii) They came to know about the probiotic organisms the occurrence, their mode
of action right from the grass root level.
iv) Moreover the participants came to know about the gram-positive bacteria
Streptococcus acidophilus on which probiotic researcher are being carried out
in our country in the recent years.
Event photo:
Date:15thOCT, 2016 Topic: “Probiotics An emerging field of Industrial Academic Interest) Participated Faculty:
Mrs.Kavitha ,principal ,other HODS etc.
OUTCOME:-The faculty and staff get preliminary idea on copyright act and Inculcator
property rights. By this seminar students are enriched their knowledge in the field of
Aquaculture and how microbes, mainly probiotics are used in aquaculture industry.
DEPARTMENT OF INFORMATION TECHNOLOGY
REPORT
ON
“Copyright and Intellectual Property Rights”
This is organized by It department . 4 faculty from IT department and 10 faculties from
various departments attended and benefited from this program. Mrs. Shamal Telkar delivered
the welcome address.
Seminar Date: 17th OCT, 2015
SPEAKER: Mr K.JAGADEESH REDDY, CMA
Organized by: Department of IT
Participated faculty list of ITDepartment
ABOUT THE SEMINAR:-
Intellectual Property Rights (IPR) that are granted to person for any creative and artistic work, for
any invention or discovery ,or any literary work or work, phrases and symbols or designs for a
stipulated period of time .in India, Intellectual property is governed under the patents Act, 1970,
Trademarks Act , 1999, Indian copyrights Act,1957, Designs Act 2001, etc. Copyrights also is a
right given by the law to the creators of literary, dramatic, musical and artistic works and
producers of cinematograph films and sound recordings.
It is a bundle of rights including, rights of reproduction, communication to the public, adaptation
and translation of the work. Now the questions arise, how many years’ copyrights are sanctioned
S.NO FACULTY NAME
1 Mr.K.RAMA KRISHNA
2 Mr.D.SUBRAMANYAM
3 Ms.SHAMAL TELKAR
4 Ms.AARUNI GIRIRAJ
to the creators and when it would be infringed? It is mentioned that a term of life plus sixty years
is adopted in India for the purpose of determining the period of copyrights .Copyrights in a work
is considered as infringed only if a substation part is used unauthorized.
Copyrights may be acquired for almost all the visible things like script, photo, book, essay films
videos, architecture etc. and also intangible things such as music. The most important criteria to
determine whether then said article is copyrightable or not, is based on its originality. Copyrights
protect the expression and not the content or substance per se. For example, an author writes about
software of library automation .Here the idea of making the software is not protected but the only
the way of expressing is protected. The idea is protected under the patent law and not under
copyright ACT.
Event photo
Date: 17th OCT, 2015 Topic: “Copyright and Intellectual Property Rights” Name: Ms.Shamal
OUTCOME:- The faculty and staff get preliminary idea on copyright act and Inculcator
property rights. By this seminar students are enriched their knowledge in the field of
Aquaculture and how microbes, mainly probiotics are used in aquaculture industry.
DEPARTMENT OF INFORMATION TECHNOLOGY
An Industry Academic Innovative Practice
REPORT
ON
“ROBOTIC PROCESS AUTOMATION”
Resource Person: Dr G N Srinivas, Prof JNTUH
Date: 07th Sept 2015
This is organized by It department . 5 faculty from IT department and 10 faculties
from various departments attended and benefited from this program. Mr.Radhakrishna
delivered the welcome address.
Participated faculty list of IT Department
Robotic Process Automation
Robotic Process Automation, or RPA, describes the application of technology that “allows
employees in a company to configure computer software or a ‘robot’ to capture and interpret
existing applications for processing a transaction, manipulating data, triggering responses,
and communicating with other digital systems,” according to the Institute for Robotic Process
Automation and Artificial Intelligence (IRPAAI). RPA is typically applied to use cases
involving low complexity, high volume, and routine work. An article from Harvard Business
S.NO FACULTY NAME
1 DR.B.RADHA KRISHNA
2 Mr.K.RAMA KRISHNA
3 Ms.Y.G.DEEPA
4 Ms.H.SWETHA DEEPIKA
5 Mr.D.VENKATESH
Review titled, “The 3 Ways Work Can Be Automated” calls these “swivel chair” tasks, where
data “needs to be transferred from one software system to another.” From retail to banking,
from IT to HR, and job functions that may span the organization, RPA offers an opportunity
for firms to take certain tasks—payroll fulfillment, onboarding, benefits administration,
invoice processing, file management, returns processing, call center processes, and data
migration—and eliminate activities that are today performed by human workers. RPA
advancement has revolutionized IT, HR, and manufacturing industries. So advanced is our
acceptance of automation in our daily lives—particularly with apps such as Alexa and SIRI
offering personal assistance through our smartphones—that the next wave of RPA adoption is
set to infiltrate some of our most skilled workforces, completing data, image recognition and
diagnoses reports while ultimately changing the face of healthcare and legal practice.
How does RPA work?
Robotic Process Automation (RPA) can also be thought of as a virtual employee. RPA works
with your existing applications and thus carries out structured processes automatically. No
changes have to be made to existing systems – RPA does the job just like your employees do
it. Thus RPA can automate a variety of processes, including invoice processing, report
generation and employee onboarding. With Robotic Process Automation, business processes
are carried out quickly, without errors and fully automatically.
Applications
The technology of RPA can be applied specifically to a wide range of industries.
Process automation
Technologies like presentation-layer automation software – a technology that mimics the
steps of a rules-based, non-subjective process without compromising the existing IT
architecture – are able to consistently carry out prescribed functions and easily scale up or
down to meet demand. Process automation can expedite back-office tasks in finance,
procurement, supply chain management, accounting, customer service and human resources,
including data entry, purchase order issuing, creation of online access credentials, or business
processes that require “swivel-chair” access to multiple existing systems.
IT support and management
Automated processes in the remote management of IT infrastructures can consistently
investigate and solve problems for faster process throughput. RPA can improve service desk
operations and the monitoring of network devices. Separating scalability from human
resources allows a company to handle short-term demand without extra recruiting or training.
Automated assistant
As in voice recognition software or automated online assistants, developments in how
machines process language, retrieve information and structure basic content mean that RPA
can provide answers to employees or customers in natural language rather than in software
code. This technology can help to conserve resources for large call centers and for customer
interaction centers.
As RPA brings more technologically-advanced solutions to businesses around the world,
operating models that adopt automation, whether in-house or offshored, will cut costs, drive
efficiency and improve quality.
Event photo:
(07th Sept 2015 ROBOTIC PROCESS AUTOMATION)
Outcomes:
• What is Robotic Process Automation
• How does RPA work
• Applications
DEPARTMENT OF INFORMATION TECHNOLOGY
An Industry Academic Innovative Practice
REPORT
ON
“INTERNET OF THINGS”
Resource Person: Dr.G N Srinivas
Date: 30th Aug 2014
This is organized by It department . 4 faculty from IT department and 10 faculties
from various departments participated and benefited from this program. Mr.Avinash
delivered the welcome address.
Participated faculty list of ITDepartment
INTERNET OF THINGS (IOT)
Today computers and the Internet are almost wholly dependent on human beings for
information. Nearly all of the roughly 50 petabyte (1 petabyte=1015 bytes) of data available
on the Internet were first captured and created by human beings by typing, pressing a record
button, taking a digital picture, or scanning a bar code. Conventional diagrams of the Internet
leave out the most numerous and important routers of all - people. The problem is, people
have limited time, attention and accuracy all of which means they are not very good at
capturing data about things in the real world. And that's a big deal. We're physical, and so is
our environment … You can't eat bits, burn them to stay warm or put them in your gas tank.
Ideas and information are important, but things matter much more. Yet today's information
S.NO FACULTY NAME
1 Mr.AVINASH
2 Ms.CH.SREELATHA
3 Ms.H.SWETHA DEEPIKA
4 Ms.P.SAI LAXMI
technology is so dependent on data originated by people that our computers know more about
ideas than things. If we had computers that knew everything there was to know about things
using data they gathered without any help from us we would be able to track and count
everything, and greatly reduce waste, loss and cost. We would know when things needed
replacing, repairing or recalling, and whether they were fresh or past their best. The Internet
of Things has the potential to change the world, just as the Internet did or even more.
ARCHITECTURE OF INTERNET OF THINGS
Architecture of internet Of Things contains basically 4 layers:
• Application Layer
• Gateway and the network layer
• Management Service layer
• Sensor layer
APPLICATION LAYER:
▪ Lowest Abstraction Layer
▪ With sensors we are creating digital nervous system.
▪ Incorporated to measure physical quantities
▪ Interconnects the physical and digital world
▪ Collects and process the real time information
▪ GATEWAY AND THE NETWORK LAYER:
▪ Robust and High performance network infrastructure
▪ Supports the communication requirements for latency, bandwidth or security
▪ Allows multiple organizations to share and use the same network independently
▪ MANAGEMENT LAYER:
▪ Capturing of periodic sensory data
▪ Data Analytics (Extracts relevant information from massive amount of raw data)
▪ Streaming Analytics (Process real time data)
SENSOR LAYER:
▪ Provides a user interface for using IoT.
▪ Different applications for various sectors like Transportation, Healthcare, Agriculture,
Supply chains, Government, Retail etc.
APPLICATIONS:
There are several application domains which will be impacted by the emerging Internet of
Things. The applications can be classified based on the type of network availability,
coverage, scale, heterogeneity, repeatability, user involvement and impact.
We categorize the applications into four application domains:
▪ (1) Personal and Home
(2) Enterprise
(3) Utilities
(4) Mobile.
▪ There is a huge crossover in applications and the use of data between domains. For
instance, the Personal and Home IoT produces electricity usage data in the house and
makes it available to the electricity (utility) company which can in turn optimize the
supply and demand in the Utility IoT. The internet enables sharing of data between
different serviceproviders in a seamless manner creating multiple business
opportunities.
BENEFITS OF INTERNET OF THINGS
• Improved citizen's quality of life
• Healthcare from anywhere
Better safety, security and productivity
• New business opportunities
Outcomes:
• What is IOT?
• Architecture of IOT
• Applications of IOT
• Benefits of IOT
Event photo:
Date:30th Aug 2014 Topic: “INTERNET OF THINGS” Name: Dr.G N Srinivas
DEPARTMENT OF INFORMATION TECHNOLOGY
REPORT
ON
One Day National Level Workshop On “Innovation & IPR”
RESOURCE PERSON : MR. SANJAY BASARKAR
Date: 18/10/2014
This is organized by It department . 4 faculty from IT department and 10 faculties from
various departments attended and benefited from this program. Mr. Avinash delivered the
welcome address. Participated faculty list of IT Department
Innovation
Generally put, an ‘innovation’ is developing a new idea and putting it into practice. As is
focused on the competitive strategy of a private enterprise in a market-driven business
environment, the term ‘innovation’ is used here to refer to the process of bringing valuable
new products (goods and services) to market i.e., from the idea/concept formulation stage to
the successful launching of a new or improved product in the marketplace2, or the result of
that process, so as to meet the explicit or implied needs of current or potential customers. In
other words, through innovation an enterprise seeks to deliver unique new value to its
customers. In this context, ‘marketing’ is the understanding of that unique new value and
communicating it to the current and potential customers of a business so that the product sells
itself.
S.NO NAME
1 Mr.AVINASH
2 Ms.ESTER VERMA
3 Ms.T.SATYA KIRANMAI
4 Ms.CH.ANUPAMA
Technological innovation may be classified in several ways: product vs. process, radical
(basic or fundamental) vs. incremental (improvement), and disruptive vs. sustaining
(sequential and/or complementary). Other important types of (non-technological) innovations
that do not result from scientific and/or technological R&D, but are often crucial for
profitably marketing the products and services resulting from the investment made in R&D
are: marketing innovation, institutional innovation, and complementary innovation.
In this, however, the focus is on technological innovations. Nowadays, it is generally
accepted that in a knowledge-driven, competitive business environment, technological
innovation (hereafter, for the sake of simplicity, simply called ‘innovation’) is a principal
determinant of successful firm performance. But differences of opinion persist amongst
economists and policymakers about the exact role of intellectual property (IP) in relation to
innovation. On the one hand, in theory, the IP system is considered to be absolutely necessary
“to encourage creative intellectual endeavour in the public interest,”3 and on the other, some
observers believe that, in practice, the IP system hinders competition to the extent that it is
often seen to be playing a negative role in innovation.4 Hence the need for a systematic and
periodic study and review of the actual use by businesses of the tools of the IP system so that
economists are able to provide empirical, evidence-based guidance to policymakers to adapt
the IP system so that it continues to serve the conflicting private and public interest in
spurring further innovation and its wide diffusion in the shortest possible time. This article,
however, does not deal with these otherwise important aspects.
Intellectual Property, Inventions and Innovations
So, what exactly is IP? Broadly speaking, the term ‘IP’ refers to unique, value-adding
creations of the human intellect that results from human ingenuity, creativity and
inventiveness. An IP right is thus a legal right, which is based on the relevant national law
encompassing that particular type of intellectual property right. Such a legal right comes into
existence only when the requirements of the relevant IP law are met and, if required, it is
granted or registered after following the prescribed procedure under that law strategic
relationships that generally work harmoniously during the new product development process.
Markets.
The grant of a property right by the government, albeit generally for a limited period of time,
over useful intangible intellectual output provides the owner of such legal property rights
the right to exclude all others from commercially benefiting from it. In other words, the legal
rights prohibit all others from using the underlying IP asset for commercial purposes without
the prior consent of the IP right holder. The different types of IP rights include trade secrets,
utility models, patents, trademarks, geographical indications, industrial designs, layout
designs of integrated circuits, copyright and related rights, and new varieties of plants.
While innovations are concerned with the commercialization of new ideas; in contrast, an
‘invention’ may not be directly associated with commercialization.6 As such, innovation may
be seen as a process of interaction and feedback during the various stages of the new product
development process.
Event photo:
Date: 18/10/2014 Topic: Innovation & IPR Name: Mr.Sanjay Basakar
OUTCOME:- The talk was a boost to the faculty forever brimming with new ideas about
student development. Nothing serves to make a teacher happier than to envision the triumph
of students. MR. SANJAY BASARKAR, deliverance instilled ideas about new avenues and
possibilities of exploring into the industry in a meaningful manner.
Scanned by CamScanner
Event Photos for the year 2018-2019
Dr.U.Padmavathi- FDP on GST in India on 13th May 2019
Mr.B.Sudhakar Reddy- Financial services on 14th May 2019
Mrs G.Aruna - Emerging trends in organizational behavior on 17th May 2019
Mrs.N.Hima Bindu Emerging trends in HRM on 16th May 2019
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way.
Scanned by CamScanner
Scanned by CamScanner
Event photo for the year 2017-2018
Mr.B.Sudhakar Reddy- Managerial Economics on 4/6/2018
Mrs.K.Sri Ranga lakshmi - Research methodology on 6/6/2018
Mrs.S.Lavanya- Rural Marketing on 11/6/2018
The session was really interesting and very useful as it helped the faculties to gain more insights in to
how to align their teaching in such a way to build industry ready student. The session was full of
activities which helped all the faculties to understand things in a more interesting and better way.
``
Scanned by CamScanner