Content Writer | Updated on - Nov 7, 2026

B.E - Computer Science & Engineering (Artificial Intelligence & Machine Learning): Course Syllabus

The Core Syllabus includes

 

Semester 1

 

  • Mathematics I
  • Physics
  • Physics Lab
  • Programming in C Language. 

 

Semester 2

 

  • Mathematics II
  • Basic Electronics Engineering
  • Basic Electronics Engineering Lab
  • Data Structures with C

 

Semester 3

 

  • Computer System Architecture
  • Design and Analysis of Algorithms
  • Design and Analysis of Algorithms Lab
  • Web Technologies

 

Semester 4

 

  • Operating Systems
  • Data Communication and Computer Networks
  • Data Communication and Computer Networks Lab
  • Introduction to Java and OOPS

 

Semester 5

 

  • Formal Languages & Automata Theory
  • Mobile Application Development
  • Mobile Application Development Lab
  • Algorithms for Intelligent Systems

 

Semester 6

 

  • Reasoning
  • Problem Solving and Robotics
  • Introduction to Machine Learning
  • Natural Language Processing

 

Semester 7

 

  • Program elective
  • Web Technologies
  • Major Project - 1
  • Comprehensive Examination

 

Semester 8

 

  • Major Projects 2
  • Program Elective - 5
  • Program Elective - 6
  • Open Elective - 4

Enjoy Extra Benefits with SR

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Counselling

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Discounted Applications

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GD PI preparation

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