NBA

Accredited Branches
by NBA, New Delhi
UG-ECE, CSE, ISE
(Validity up to June 2026)
UG-EEE
(Validity up to June 2027)

NAAC

Accredited with A Grade

CET Code: E133
COMEDK Code: E055

CS&E (Artificial Intelligence & Machine Learning)

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About The Department 
Intake of the Department = 60
Year of Start: 2021

The CSE (AI & ML) program is designed to equip students with cutting-edge technical skills tailored for the 21st century, aligning with the growing global AI market. As per the Precedence Research Report 2023, the U.S. artificial intelligence (AI) market size accounted for USD 103.7 billion in 2022 and is estimated to reach around USD 594 billion by 2032, growing at a CAGR of 19.1% from 2023 to 2032.

AI and ML job opportunities are expected to grow significantly in the next 5 years. With the increasing demand for advanced technologies in various industries, companies are investing heavily in AI and ML. This includes fields such as healthcare, finance, retail, and transportation. Some potential job opportunities to explore in this field may include data scientist, machine learning engineer, AI research scientist, and natural language processing specialist.

Vision:

Provide quality education and training to equip students with the skills and knowledge required to excel in Computer Science, AI and ML related careers

Mission:

  • To Encourage faculty and students to engage in continuous learning to keep pace with the rapidly evolving landscape of Computer Science, AI and ML.
  • To Promote the development and use of Computer Science, AI and ML technologies that adhere to ethical principles, ensuring fairness, transparency, accountability, and privacy in AI systems.
  • To Develop Computer Science, AI and ML technologies and tools that can be applied to solve real-world problems in various domains, including healthcare, finance, and transportation
  • To foster collaboration across various disciplines, breaking down silos to create a holistic approach to solving complex problems with Computer Science, AI and ML.

Program Educational Objectives (PEO)

  • To have successful careers in Computer Science, AI and ML-related fields by becoming an expert in the various domain
  • To exhibit a deep understanding of ethical considerations in Computer Science, AI and ML, ensuring that they develop and apply these technologies in a responsible and socially conscious manner.
  • To engage in lifelong learning and professional development, staying up-to-date with the latest advancements in Computer Science, AI and ML and continuously enhancing their skills.
  • To actively contribute to society by leveraging Computer Science, AI and ML for the benefit of humanity, whether through improving healthcare outcomes, addressing environmental challenges, or enhancing accessibility.

Core Subjects of AI & ML:

  • Mathematics for Computer Science
  • Python Programming for Data Science
  • Data Analytics with R
  • Data Analytics with Excel
  • Ethics and Public Policy for AI
  • Project Management with Git
  • Artificial Intelligence
  • Optimization for Machine eLearning
  • Scala
  • MongoDB
  • MERN
  • Software Engineering & Project Management
  • Theory of Computation
  • Data Visualization Lab
  • Computer Vision
  • Information Retrieval
  • Nonlinear Control Techniques
  • Image and Video Processing
  • Machine Learning -I
  • Human-Centered AI
  • Cloud Computing
  • Blockchain Technology
  • Time Series Analysis
  • Introduction to AI
  • Explainable AI
  • PyTorch
  • Generative AI
  • Natural Language Processing
  • Machine Learning -II
  • AI of Things
  • High Performance Computing
  • Data Engineering & MLOps
  • Big Data Analytics
  • Introduction to Machine Learning

Infrastructure

  

Laboratories :

Lab-1:  D-202

Web Technology Laboratory with Mini Project | GSSSIETW

(69 Sq. Mt.)

Lab – 1 D-202

Odd Semester – Operating System 

Even Semester - Analysis & Design of Algorithms Lab 

Major Equipments :

  • 23 HP 400 G9 MT Desktop: Intel Corei7 12700 / 12th Generation processor up to 4.9 Ghzs, Intel Q670 Chipset, 16 GB DDR4  RAM, 1 TB SSD Hard disk, HP USB Keyboard and USB Mouse, Monitor 19.5” LED with HDMI port,WIFI and Bluetooth , headphone/microphone combo; 1 Super Speed USB Type-C 10Gbps signaling, 3 Super Speed USB Type-A 10Gbps signalling rate. 1 audio-out; 1 power connector; 1RJ-45; 1XHDMI 1.4; 1 X 1VGA; 1XDP port; 3 SuperSpeed USB Type-A 5Gbps,1 Display Port™ 1.4; 2 USB
  • 01 Projector

 

 

 

Lab-2: D-203

Design and Analysis of Algorithm | Machine Learning Laboratory | GSSSIETW

(69 Sq. Mt.)

Lab – 2: D-203

Odd Semester - Machine Learning Laboratory
Even Semester - Computer Network Lab

Major Equipment’s :

  • 23 HP 400 G9 MT Desktop: Intel Corei7 12700 / 12th Generation processor up to 4.9 Ghzs, Intel Q670 Chipset, 16 GB DDR4 RAM, 1 TB SSD Hard disk, HP USB Keyboard and USB Mouse, Monitor 19.5” LED with HDMI port,WIFI and Bluetooth , headphone/microphone combo; 1 Super Speed USB Type-C 10Gbps signaling, 3 Super Speed USB Type-A 10Gbps signalling rate. 1 audio-out; 1 power connector; 1RJ-45; 1XHDMI 1.4; 1 X 1VGA; 1XDP port; 3 SuperSpeed USB Type-A 5Gbps,1 Display Port™ 1.4; 2 USB
  • 01 Projector

 

 

 Lab-3: D-204

Computer Graphics Lab with Mini Project | DBMS | GSSSIETW 

(69 Sq. Mt.)

Lab-3: D-204

Odd Semester – DBMS Lab with Mini Project:
Even Semester – Data Visualization Lab

Major Equipment’s :
23 HP 400 G9 MT Desktop: Intel Corei7 12700 / 12th Generation processor up to 4.9 Ghzs, Intel Q670 Chipset, 16 GB DDR4 RAM, 1 TB SSD Hard disk, HP USB Keyboard and USB Mouse, Monitor 19.5” LED with HDMI port,WIFI and Bluetooth , headphone/microphone combo; 1 Super Speed USB Type-C 10Gbps signaling, 3 Super Speed USB Type-A 10Gbps signalling rate. 1 audio-out; 1 power connector; 1RJ-45; 1XHDMI 1.4; 1 X 1VGA; 1XDP port; 3 SuperSpeed USB Type-A 5Gbps,1 Display Port™ 1.4; 2 USB

 

 

Class Rooms

classroom1

D210-Class Room-1 with Projector, System

classroom2

 D213-Class Room -2 with Projector, System


HOD’s Room, Faculty Room & Department Office

HOD 1

HOD 2

HOD 3

Safety Precautionary


safety 1

safety 2

Achievements

2021 Batch Academic Achievers

Toppers List of I Semester Odd 2021

Toppers List of II Semester Odd 2021

Toppers List of III Semester Odd 2022

Toppers List of IV Semester Even 2022

2022 Batch Academic Achievers

Toppers List of I Semester Odd 2022

Toppers List of II Semester Even 2022

STUDENT ACHIEVEMENTS IN EXTRACURRICULAR ACTIVITIES

dn_ach_1.jpg

RACHANA D KASHYAP, ANANNYA P S, SANIHA S JAIN, BHOOMIKA M R participated in Cognizant Digital Nurture Technoverse 2023 Hackathon and Secured Internship Opportunity at Cognization

Events

Events: 2023-24

Date Event Name Event Details
9-10 February 2024 Database Management Systems Students learnt to create database and retrieve queries on real time projects. And also they learnt to implement stored procedures practically in the database.
11-13 January 2024 Object Oriented Programming With Java Student achieved more proficiency in Java fundamentals and developed improved problem-solving skill approach.
4 December 2023 Elevate Your Reality: An Introduction to AR/VR Students learn to create virtual environments to interact with AI&ML concepts. They experienced hands on simulation on AI&ML applications.
7-8, 10 November 2023 “Full Stack Web Application Development” Full-stack web application development of creating a web application that encompasses both the front-end (client-side) and back-end (server-side) components.
30 September 2023 Clean Code Workshop - Python One Day Workshop on Clean Code using Python in association with ThoughtWorks ConnectEd Program and Department of Training & Placement, GSSSIETW, Mysuru
29-31 August 2023 Introduction to Machine Learning using Python Students learn to implement machine learning models using Python and learnt to develop applications using PyQT.
22 July 2023 Demystifying AI and Ge0nerative AI Evolution of technology over the period of time focusing on the industrial revolution. Generative AI is a type of artificial intelligence technology that can produce various types of content, including text, imagery, audio and synthetic data. The recent buzz around generative AI has been driven by the simplicity of new user interfaces for creating high-quality text, graphics and videos in a matter of seconds.
29 August 2023 Essentials of Maths in AI & ML Students leant about the human intelligence and artificial intelligence

Events: 2022-23

Date Event Name Event Details
10 March 2023 “Open Day- A Project Exhibition” by 3rd Sem AIML Students as an outcome of Skill Lab Training Students were made to design and deploy various real-time projects and exhibit the same to the 1st semester AIML and ISE Students as a Open Day Exhibition. With this both the students were motivated to learn more things practically and share their ideas further to enhance their Skills with latest technology in the upcoming semester
5 November 2022 Data Structures Basics and Applications Students learnt how to choose the appropriate data structure based on problem requirements and improved problem- solving skills. This enhanced their ability to design and implement effective solution to real world computational challenges.

Placement

Internship and Mentorship Details

2025 Graduating Batch Students Achievements during Internship hiring at GSSSIETW

Summer Internship program at Boeing with the stipend of 30K/month
1. 4GW21CI020 Likhitha Rani L
2. 4GW21CI033 Rachana D Kashyap
DELL STEM Aspire Mentorship
1. 4GW21CI004 AnanyaKadiam
2. 4GW21CI012 Gunashree P
3. 4GW21CI013 Harshitha B G
4. 4GW21CI038 Saniha S Jain
5. 4GW21CI044 Shreya R
HPE-CTY Program for Real time Projects
1. 4GW21CI004 AnanyaKadiam
2. 4GW21CI012 Gunashree P
3. 4GW21CI032 Pratheeksha H L
Target Corporation- Upcurve Program Mentorship
1. 4GW21CI049 Sushmitha G
Cognizant Internship
1. 4GW21CI002 Anannya P S
2. 4GW21CI008 Bhoomika M R
3. 4GW21CI038 Saniha S Jain
Summer Internship program at Accenture with stipend Rs.16,000/month.
1. 4GW21CI004 Pratheeshka H L
2. 4GW21CI012 Gunashree P

Placement Training Details ODD SEM-AY 2023-24

Training Dates Sem Topics Covered No of Days
20th to 24th Nov 2023 (Phase 1) 3 Verbal Reasoning, Number System, Speed Maths, Subject verb agreement, Conflict management, Aptitude and so on… 5
5 Technical- C Programming, OOPS concepts 5
11th to 15th Dec 2023 (Phase 2) 5 DSA linked list, competitive coding problems, sentence completion, interview skills, OOPS and exception handling, time speed and distance, trains, boats, streams and races, time and work, Resume Building 5
8th to 12th Jan 2024 (Phase 3) 5 Technical- Java Programming, Aptitude 5

Placement Training Details EVEN SEM-AY 2023-24

Training Schedule Sem No of Days
27th to 31st May 2024 4 5
Phase I- 13th to 24th May 2025 6 10
Phase II- 10th to 14th May 2024 5
During July 6 5

Gallery

Google Cloud Club organized "THE CLOUD SPRINT CHALLENGE" on 26th Feb 2024

Contact

Dr. MANJUPRASAD B, BE, Ph.D

Professor & Head, 

Department of CSE(AI&ML)

GSSS Institute Of Engineering & Technology For Women

Email : This email address is being protected from spambots. You need JavaScript enabled to view it.

Phone : 0821-4257304 (EXT-2307)

 

© 2014 | GSSS Institute of Engineering and Technology for Women