Department of Artificial Intelligence and Machine Learning
OVERVIEW

Vision
To become a distinguished centre for education and research, producing globally competent engineers in the field of Artificial Intelligence and Machine Learning
Mission
- To create excellent environment for quality education and research
- To associate with industry and renowned institutions
- To foster research and entrepreneurship activities
- To infuse professional ethics and social concerns
Program Educational Objectives
Our graduates in a span of 3 to 5 years after graduation shall:
- Perform successfully in the areas of software development involving Artificial Intelligence and Machine Learning
- Acquire higher knowledge and skills or
- Practice professional ethics and conduct in socially responsible way
PSOs
- Apply knowledge of Artificial Intelligence and Machine Learning to analyze and design solutions for real world problems
- Build intelligent systems to solve multidisciplinary problems
Course Matrix
I and II Semester – Physics and Chemistry cycles – common to all programmes
III SEMESTER (2021 SCHEME)
- Transform Calculus, Fourier series and Numerical Techniques
- Data Structures and its applications
- Analog and Digital Electronics
- Computer Organization and Architecture
- Object Oriented Programming with JAVA Laboratory
- Social Connect and Responsibility
- Samskrutika Kannada
- Balake Kannada
OR
- Constitution of India and Professional Ethics
- Ability Enhancement Course - III
IV SEMESTER (2021 SCHEME)
- Mathematical Foundations for Computing
- Design and Analysis of Algorithms
- Microcontroller and Embedded Systems
- Operating Systems
- Biology for Engineers
- Python Programming Laboratory
- Samskrutika Kannada
- Balake Kannada
OR
- Constitution of India & Professional Ethics
- Ability Enhancement Course-IV
- Universal Human Values
- Inter/Intra Institutional Internship
V SEMESTER (2021 SCHEME)
- Automata Theory and compiler design
- Computer Networks
- Database Management Systems
- Principles of Artificial Intelligence
- Database Management Systems Laboratory with Mini Project
- Research Methodology & Intellectual Property Rights
- Environmental Studies
- Ability Enhancement Course-V
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- Angular JS and Node JS
- C# and .Net Framework
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VI SEMESTER (2021 SCHEME)
- Software Engineering and Project Management…
- Data Science and its Applications
- Machine Learning
- Professional Elective Course-l
- Open Elective Course-I
- Machine Learning Laboratory
- Mini Project
- Innovation/Entrepreneurship /Societal Internship
VII SEMESTER (2021 SCHEME)
- Advanced Al and ML
- Cloud Computing
- Professional elective Course-II
- Professional elective Course-III
- Open elective Course-II
- Project work
VIII SEMESTER (2021 SCHEME)
- Technical Seminar
- Research Internship/ Industry Internship
- NCMC
- National Service Scheme (NSS)
- Physical Education (PE) (Sports and Athletics)
- Yoga
PROFESSIONAL ELECTIVE-1 (2021 SCHEME)
- Business Intelligence
- Advanced JAVA Programming
- Natural Language Processing
- Computer Graphics and fundamentals of image Processing
PROFESSIONAL ELECTIVE-II (2021 SCHEME)
- Social Network Analysis
- Digital Image Processing
- Fullstack Development
- Blockchain Technology
- Internet of Things
PROFESSIONAL ELECTIVE-III (2021 SCHEME)
- Augmented Reality
- Multiagent Systems
- Predictive Analytics
- Robotic Process Automation Design and Development
- NoSQL Data Base
Related Links
- Department of Artificial Intelligence and Machine Learning
- Department of Artificial Intelligence & Data Science
- Department of Computer Science Engineering
- Department of Electronics & Communication ENGINEERING
- Department of Civil Engineering
- Department of Mechanical Engineering
- Department of Chemistry
- Department of Mathematics
- Department of Physics
- E - Learning
Get in Touch
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