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B.Tech. Computer Science and Engineering with specialization in Artificial Intelligence and Machine Learning

Course Structure

Semester 1

  • Professional Communication
  • Engineering Mathematics -I
  • Engineering Chemistry
  • Problem Solving and Programming
  • Engineering Graphics and Design
  • Engineering Chemistry Lab
  • Problem Solving and Progg. Lab
  • Engineering Practices Lab
  • Leadership Development

Semester 2

  • Engineering Mathematics -II
  • Python Programming
  • Engineering Physics
  • Environmental Science
  • Basic Electrical and Electronics
  • Python Programming Lab
  • Engineering Physics Lab
  • Basic Electrical and Electronics Lab
  • Leadership Development

Semester 3

  • Discrete Structures
  • Data Structures and Algorithms
  • Data Base Management System
  • Operating System
  • Professional Ethics (MOOC)
  • Software Engg. and Agile Methodology
  • Computer Networks
  • Data Structures and Algorithms Lab
  • Database Management System Lab

Semester 4

  • Probability and Statistics
  • Object Oriented Programming
  • Theory of Computation
  • Indian Constitution (MOOC)
  • Professional Training
  • PCE-1- Int. to Artificial Intelligence (Any One)
    1. Introduction to Artificial Intelligence
    2. Machine Learning and Deep Learning Techniques
    3. Business Intelligence
  • PCE-1-ML and Deep Learning Techniques (Any One)
    1. Introduction to Artificial Intelligence
    2. Machine Learning and Deep Learning Techniques
    3. Business Intelligence
  • OE-1-User Research Method
  • Object Oriented Programming Lab

Semester 5

  • R Programming
  • Data Mining and Analysis
  • Core Elective-II ( Any One )
    1. Mathematical Foundations for ML
    2. Inferential Statistics
    3. Scientific Computing using Python
  • Core Elective-III ( Any One )
    1. Cloud Computing
    2. Sampling Techniques
    3. Computer Vision
  • Industry Elective-2 (Collaborative)
  • Open-Source Software Tools
  • Data Visualization Lab
  • R Programming Lab

Semester 6

  • Unix and Shell Programming
  • Web Technology
  • Applied Operations Research
  • Industry Elective-3 (Collaborative)
  • Research Methods & Presentation
  • Core Elective-IV ( Any One )
    1. Agent Based Intelligent Systems
    2. Network Security
    3. Natural Language Processing
  • Core Elective -V-(PBEL)( Any One )
    1. Full Stack Development
    2. Robotics and Automation
    3. Artificial Neural Networks

Semester 7

  • Project- Phase-I (Research / Industry)
  • Core Elective-VI ( Any One )
    1. Applications of Machine Learning
    2. Pattern Recognition
    3. Data Engineering
  • Industry Elective-4 (Collaborative)

Semester 8

  • Project- Phase-II (Research / Industry)
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