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

Staff Details

Teaching Staffs


Dr. Manjuprasad B, B.E,Ph.D, Professor and Head	Jeevitha H M, B.E, M.Tech, Assistant Professor	Geetha A L, B.E, M.Tech, Assistant Professor

Non Teaching Staffs

Mr. Pramod G S,
B.E in ISE,
Assistant Instructor

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

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

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.