Skip to content

AIML BOS

AIML BOS

Ref No: SRIN/AIML/BOS4/MOM/01                                                                                        20.7.2024

Minutes of The Fourth Board of Studies (BoS) Meeting of Department of Artificial Intelligence and Machine Learning, Srinivasa Institute of Engineering and Technology (Autonomous), NH-216, Cheyyeru(V), Amalapuram, held on 19.07.2024(Friday), at 11:00 am in Board Room through Online mode.

Agenda

  1. To discuss about the curriculum and syllabus of II Year – Artificial Intelligence and Machine Learning students admitted during A.Y. 2023 (R-23).
  2. To discuss about the curriculum and syllabus offered by – Artificial Intelligence and Machine Learning to other departments.
  3. Training/Skill Development Programs proposed for Department of – Artificial Intelligence and Machine Learning.
  4. Department Advisory Committee (DAC) and Program Assessment Committee (PAC).
  5. Results Analysis.
  6. Any other items with permission of Chair

The Chairman of the first Board of Studies (BoS), extended a warm welcome to the members present and started the presentation by briefing about the institution and the given agenda was discussed with the members.

Members of the Board of Studies:

S.No Name of the Member Affiliation of the Member Contact details Status
1 Mrs. V. Saipriya

Associate Professor & HOD, Srinivasa Institute of Engineering and Technology (A),

Amalapuram-533216

aiml@sriniet.edu.in

7997859789

Chairman
2 Dr. R. Rajeswara Rao Professor of CSE & Director(I/c) Academic Audit, University College of Engineering, JNTU-GV, Vizianagaram-535003 rajaraob4u@gmail.com 9959559456

University Nominee (Nominated by Honorable Vice- Chancellor, JNTUK,

Kakinada)

3 Dr. T. Ravi Kumar

 

Professor – CSE K L University

rktata5860@gmail.com

rktata@kluniversity.in 9848317912

External Subject Expert (Nominated by

Academic Council)

4 Dr. K. P. N. V. Satya Sree Professor & HoD, Department of AIML, Usha Rama College of Engineering & Technology, Telaprolu  satyasreekpnv@gmail.com 9032798749

External Subject Expert (Nominated by

Academic Council)

5 Mr. T. Raja Ramesh

Associate Director, Training Miracle Software

System, Viziznagaram

rthamada@miraclesoft.com 9849801214 Industry Expert
6 Mr. M. Phaneendra

Senior Associate, PMO, RIMINI Street India

Operation Pvt. Ltd.,

Hyderabad-500081

phani028@gmail.com 9502554047 Alumni Representative (Nominated by the Principal, SIET)
7 Dr. R. John Mathew

Professor of CSE, Srinivasa Institute of Engineering and Technology

(A),Amalapuram-533216

 

rapakajmathew@gmail.com  9491113426

 

Internal Subject Expert

8 Mr. M. R. K. Raju

Associate Professor of CSE,SIET(A),

Amalapuram-533216

m.raju530@gmail.com      9491480712 Internal Subject Expert
9 Mr. G. Satish

Assistant Professor of CSE,SIET(A),

Amalapuram-533216

satishguthula1@gmail.com 9550175743

 

Internal Subject Expert

 

Minutes of Meeting:

Agenda Point-I

To discuss about the curriculum and syllabus of II Year –and Artificial Intelligence and Machine Learning students admitted during A.Y. 2023 (R-23).

The chairman exhibited to all the members the course structure of II-1 and II-II semesters for A.Y. 2024-25. The syllabus of the following courses has been discussed.

1.Artificial Intelligence

2.Advanced Data Structures & Algorithms Analysis

3.Object Oriented Programming Through Java

4.Machine Learning

5.Database Management Systems

6.Advanced Data Structures and Algorithms Lab

7.Object Oriented Programming Through Java Lab

8.Python programming

9.Machine Learning Lab

10.Database Management Systems Lab

 After observing the course structure members suggested that theory subject having labs are need to plan such that theory in the present semester followed by labs in the next semester or the members proposed to conduct theory classes exclusively related to such type of labs for first few slots before allowing the student to conduct experiment in labs.

Agenda Point-II

To discuss about the curriculum and syllabus offered by – Artificial Intelligence and Machine Learning to other departments.

The members suggested to follow the same syllabus contain.

Agenda Point-III

Training/Skill Development Programs proposed for Artificial Intelligence and Machine Learning.

The members agreed to follow the Training/Skill Development Programs proposed for Department of Artificial Intelligence and Machine Learning.

Agenda

Point-IV

Department Advisory Committee (DAC) and Program Assessment Committee (PAC).

The members agreed and suggested to maintain Department Advisory Committee (DAC) and Program Assessment Committee (PAC).

Agenda

Point–V

Results Analysis

The members discussed about the results and suggested to improve the results by conducting makeup classes for difficult subjects.

Agenda

Point- VI

Any other items with the permission of chair

It is unanimously resolved to follow the internal and external examination evaluation procedures are discussed with the BOS members.

Call Now Button