6.3.3 Summary Report on professional development ... MERGED.pdf · 36 Bio-Molecular Computing...

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


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


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


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


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


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


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


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


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


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


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:


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


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:


DATE: 24/5/2019


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:


DATE: 12/6/2019


On

Digital Signal Processor and ARM Processor

06.06.2019 to 07.06.2019





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:


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


Attendance Sheets:


DATE: 10/07/2019


On

Instructional Design and Delivery System

04.07.2019 to 05.07.2019





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

Attendance Sheets:


DATE: 03/07/2019


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.




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

Attendance Sheets


DATE: 22/05/2019


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.




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




Attendance Sheets:


DATE: 21/12/2018


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:


DATE: 22/06/2019


On

Virtual Instrumentation using Lab view

17.06.2019 to 18.06.2019





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




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


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


DATE: 29/6/2015

Nine Days Faculty Development Program

18/6/2015 to 26/6/2015

REPORT




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



activities which helped all the faculties to understand things in a more interesting and better way


DATE: 14/6/2016

Eleven Days Faculty Development Program

01/6/2016 to 11/6/2016

REPORT




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



activities which helped all the faculties to understand things in a more interesting and better way


DATE:09/6/2017

Twelve Days Faculty Development Program

27/6/2017 to 06/6/2017

REPORT




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



activities which helped all the faculties to understand things in a more interesting and better way.


DATE:09/6/2018

Ten Days Faculty Development Program

25/6/2018 to 06/6/2018

REPORT




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




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.


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.


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



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.


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.

\


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


various departments attended and benefited from this program. Mr.kamal delivered the

welcome address.


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.



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.


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.


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.


REPORT

ON

“Copyright and Intellectual Property Rights”


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


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.



REPORT

ON

“ROBOTIC PROCESS AUTOMATION”

Resource Person: Dr G N Srinivas, Prof JNTUH

Date: 07th Sept 2015


from various departments attended and benefited from this program. Mr.Radhakrishna



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



REPORT

ON

“INTERNET OF THINGS”

Resource Person: Dr.G N Srinivas

Date: 30th Aug 2014


from various departments participated and benefited from this program. Mr.Avinash



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


REPORT

ON

One Day National Level Workshop On “Innovation & IPR”

RESOURCE PERSON : MR. SANJAY BASARKAR

Date: 18/10/2014


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

https://www.wipo.int/sme/en/documents/ip_innovation_development_fulltext.html#P10_1086

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




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




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