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what all subjects will come in cse with ai and ml .I am very confused on taking which course in cse. I like programming extremely .but I hate physics chemistry .will physics and chemistry come as a subject in college. kindly help me I am very confused


Suriya 31st Jan, 2022
Answers (2)
Sumedha Bhattacharya 31st Jan, 2022

Dear Student ,

Generally in 1st year , students need to study almost all branches of engineering as a basic level with physics and chemistry subjects. Well, the syllabus may differ institute wise .. But , on average you can predict that there will be subjects like Applied physics , chemistry and other required subjects to be taught at basic level .

You can get the detailed syllabus from your preferred college's website (if available)


Generally some of the subjects may include in CSE(AI & ML) is as follows :[from 2nd year]

  • Discrete Mathematics
  • Applied Machine Learning
  • Digital Electronics
  • Data Structures
  • Python
  • Raspberry Pi
  • DBMS
  • Introduction to AI and others topics

Hope this helps !


Shreya Bhowmick 31st Jan, 2022

Hi, hope you are doing well.

The entire syllabus for CSE(AI and ML) is as follows:

SEMESTER I

Electrical Technology

Applied Physics - I

Probability and Statistics

Getting Started with Raspberry Pi

Introduction to Machine Learning

Python Basics

SEMESTER II

Design/Creativity Multimedia Application Lab

Decision Making Under Uncertainty

Applied Mathematics

Getting Started with Arduino

Introduction to Artificial Intelligence

Environmental Studies

Application based Programming in Python

SEMESTER III

Data Structures and Algorithms

Foundations of Computer Science

Computer Based Numerical and Statistical Techniques

Introduction to Databases and Warehouse

Foundations of Data Science

Digital Electronics

SEMESTER IV

Applied Machine Learning

Sensing and Data Mining for Smart Structures and Systems

Data Acquisition

Database Management Systems

Computer Organization and Architecture

Computer Vision Basics

SEMESTER V

Design Thinking & Artificial Intelligence – Future of Innovation

Deep Learning Foundation

Digital Communication

Introduction to Natural Language Processing

Web Technologies

Cognitive Analytics

SEMESTER VI

Compiler Design

Pattern and Anomaly Detection

Cryptography and Network Security

Operating Systems

Mobile Application Development for Entrepreneurs

Communication WKSP 3.0

Human Computer Interaction

SEMESTER VII

Reinforcement Learning

Micro Processor & Embedded Systems

Application of AI & Machine Learning in Industries

Robotics and Intelligent Systems

Seminar/Minor Project/Workshop

Capstone Project Work Phase I (Based on AI & Machine Learning)

SEMESTER VIII

Universal Human Value & Ethics

Current Applications of AI

Digital Image Processing

Operating Systems

Cyber Law and Ethics

Capstone Project Work Phase II (Based on AI & Machine Learning)

Hope this helps.

Best wishes

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