NBA

Accredited Branches
by NBA, New Delhi
UG-ECE, CSE, ISE
(Validity up to June 2026)
UG-EEE
(Validity up to June 2024)

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

Toppers List of I Semester Odd 2021

cse-odd-1

Toppers List of II Semester Odd 2021

Achievements

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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

 

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Department of CSE (AI & ML) organized “Clean Code Workshop - Python”
In association with ThoughtWorks ConnectEd Program for IV Semester CSE (AI & ML), CSE and ISE Students at GSSSIETW, Mysuru on 30th September 2023

 

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Inauguration of Department of CSE (AI & ML) Technical Forum “AI -VERSE” with a Talk on “Essentials of Maths in AI & ML” and mini-project presentation by II semester CSE (AI & ML) Students at GSSSIETW, Mysuru on 29th August 2023

  

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“Demystifying AI and Generative AI” at GSSSIETW, Mysuru
in Association with CII, Mysuru on 22nd July 2023.

 

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“Open Day- A Project Exhibition” by 3rd Sem AIML Students as an outcome of Skill Lab Training, on
10th March 2023 at Department of AIML, GSSSIETW, Mysuru

List of Events conducted

DateEvent NameEvent Details
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.
29th August 2023 Essentials of Maths in AI & ML About the human intelligence and artificial intelligence
30th 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.
22nd July 2023 Demystifying AI and Generative 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.
10th 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

Events

Technical talk on “Data Structure Basics and its Applications” on 5th November 2022   

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Chandrappa S delivered technical talk on data structure basics and its applications on 5th November 2022 to 3rd Semester AI&ML students

 

Placement

 placement_aiml.jpg

Five Days placement training was conducted for the 3 rd semester AI&ML Students from 11 th to
15 th October 2022 on the topics: Speed Math, Stress Management, Leadership Skills, Mind
Mapping and SWOT Analysis, Essay Writing, Goal Setting, and Number System.

 

Gallery

“PROJECT EXPO” Organized in association with IEEE- PES Bangalore Chapter, Under Renewable Energy Club on 28th February 2024 for 5th Sem students

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