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

  1. Apply knowledge of Artificial Intelligence and Machine Learning to analyze and design solutions for real world problems
  2. 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
        1. Angular JS and Node JS
        2. C# and .Net Framework

 

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 
  1. National Service Scheme (NSS)
  2. Physical Education (PE) (Sports and Athletics)
  3. 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

 

Get in Touch

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