B.Tech in Artificial Intelligence Program

Overview

The UG program’s vision is to create exceptional AI engineers who will transform the world through creative AI solutions focusing on complex inputs – such as vision, language and huge databases.

Graduates will be computer science savvy with the skills and expertise in machine learning and automated reasoning for building the AI of tomorrow. Students can take courses in Math and Statistics, Computer science, AI, Science and Engineering, and the Humanities and Arts, with room provided for academic exploration via electives.

Artificial Core

Machine Vision, Natural Language Processing, Robotics and Autonomous, Systems Smart Industry, Cyber-Security

Mathematics

  • Multivariate Calculus
  • Linear Algebra & Matrices
  • Probability & Stats
  • Numerical Methods
  • Discreate Maths

Natural Sciences & Economics

  • Phy- Mechanics
  • Phy-Electromagnetics
  • Biochemistry Electronics
  • EE Basics

Foundational

  • Foundations of NLP Signals & Systems Control Theory
  • Digital Image Processing
  • Artificial Intelligence
  • Machine Learning

Computer Science

  • Intro. to C & Python Data Structures D&A of Algorithms
  • Comp. Architecture
  • Operating Systems DBMS & Big Data

Humanities++

  • English & Humanities
  • Media Project Earth & Environment Sciences
  • Intro. Enterprise & Economy

Electives

  • Computational Biology
  • Computational Genomics
  • Information Retrieval
  • BC & Cryptic
B.Tech In Artificial Intelligence

Semester 1

Course name L T P Credits
1 MA1101 Calculus &ODE 4 1 0 5
2 CH1101 Chemistry – I 2 1 2 4
3 EE1101 Introduction to Electrical Engineering 2 1 2 2
4 EE1105 Electronics 2 1 2 2
5 CS 1101 Introduction to Computing 2 1 1 4
6 CE1101 Earth and Environmental Sciences 2 0 0 2
7 HS 1104 Introduction to Entrepreneurship 0 0 3 1
8 HS 1102 Media Project 0 0 3 1.5
9 HS 1101 English 3 0 0 3
10 HS 1103 French  – I 0 2 0 0.5
Total credits 25

Semester 2

Course name L T P Credits
1 MA1202 Linear Algebra & complex analyses 3 1 0 4
2 PH1202 Physics – I 2 1 2 4
3 BI 1201 Biology 3 0 0 3
4 CS 1201 Data Structures 2 2 2 5
5 CS1202 Discrete Mathematics 2 0 0 2
6 AI 1203 AI & Humanity 1 0 0 1
7 HS 1201 Entrepreneurship practice 0 0 2 1
8 ME 1202 Workshop practice 0 0 2 1
9 HS 1205 Professional Ethics 0 1 0 1
10 HS 1203 French – II 0 2 0 0.5
Total credits 22.5

Semester 3

Course name L T P Credits
1 MA2103 Probability and Statistics 3 1 0 4
2 PH 2102 Physics-II 3 1 2 5
3 AI 2101 Optimization Techniques for AI 3 0 0 3
4 CS 2104  Design and Analysis of Algorithms 2 1 2 4
5 EE2101 Signals and systems 3 1 0 4
6  HS 2101 Lean startup 1 0 0 1
7 HS2109 Economics(7weeks) 3 0 0 1.5
8 HS2103 French Language and culture-III 0 2 0 0.5
9 AI 2102 Programming workshop 0 0 2 0.5
Total Credits 23.5

Semester 4

Course name L T P Credits
1 MA2208 Numerical Methods 3 0 2 4
2 AI 2201 Digital Logic Design and computer Architecture 3 1 0 4
3 AI 2202 Machine Learning with python 3 0 2 4
4 AI 2203 Artificial and computational Intelligence 2 1 2 4
5 AI 2204 Theory of computation 3 0 0 3
6 HS 2201 Design Thinking 1 0 2 2
7 HS2202 Financial Accounting 3 0 0 1.5
8 HS 2203 French Language & culture 0 2 0 0.5
9 AI 2205 Programming workshop 0 0 2 0.5
Total Credits 23.5

Semester 5

Course name L T P Credits
1 CS 3101 Design and Analysis of Algorithms 2 1 2 4
2 AI 3102 Operating systems 3 0 2 4
3 CS 3103 DBMS 3 0 2 4
4 AI 3105 Computer Network Lite 1 0 2 2
5 AI 3106 T1* Foundation of NLP 2 0 2 3
6 AI 3107 T2*Digital Image processing 2 0 2 3
7 HS-E1 HSS+Mgmt- Electives 1 2 0 0 2
8 HS 3101 French Language abd culture-V(Optional)
9 AI 3104 Programming workshop 0 0 2 1
Total credits 23

Semester 6

Course name L T P Credits
1 AI 3201 Big Data Analytics 2 0 2 3
2 AI 3202 High performance computing 2 0 2 3
3 AI 3203 T2** Neural Networks and deep learning 2 0 2 3
4,5 Any two
AI 3204 T3* Introduction to Robotics 2*3 6
AI 3205 T4* Computational Biology
AI 3206 T5* Control Theory
6 E1 Elective-1 3 0 0 3
7 Year 3- project – – – 2
8 HS3201 Introduction to professional Development and employability skills 2 0 0 2
9 HS-E2 HSS+Mgmt -Elective 2 2 0 0 2
10 HS 3202 French – VI (optional)
Total Credits 24

Semester 7

Course name L T P Credits
1 AI 4101 T1**Computational sequence modelling 3 0 0 3
Any Two
2,3 AI 4102 T3** Reinforcement Learning 2*3 0 0 6
AI 4103 T4** Computational Genomics
AI 4104 T5** AI- Integrated IoT
4 E2 Elective-II 3 0 0 3
5 E3 Elective-III 3 0 0 3
6 Year 4 -Project – – – 3
7 HS-E3 HSS+Mgmt – Elective 3 2 0 0 2
8 HS 4101 French – VII(Optional)
Total Credits 20

Semester 8

Course name L T P Credits
1 Elective-IV 3 0 0 3
2 Elective – V 3 0 0 3
3 Year 4 Project – – – 10
4 HS 4201 French Language & Culture – VIII (Optional) 0 2 0 0
Total credits 16
Semester 8
Elective – IV
Elective – V
Year-4 Project
 French  – VIII(Optional)