National Institute
Of
Technical and Management Studies

Sem - I

1. Computer Architecture and Organization
2. Electronics System Design
3. Introduction to Robotics
4. Machine and Mechanics
5. Robotics Control System

Sem - II

1. Digital Image Processing
2. Electrical Actuators and Drives
3. Image Processing & Machine Vision
4. Robotics Based Industrial Automation
5. Embedded Systems

Sem - III

1. Artificial Intelligence and Neural Network
2. System Modelling and Identification
3. Nano Robotics
4. Advanced Data Analytics by Python
5. Robotic Simulation

Sem - IV

1. Numerical Control Machines & Adaptive Control
2. Manufacturing Systems Automation
3. Robot Economics
4. Modern Material Handling Systems
5. Group Technology and Cellular Manufacturing

Sem - I

1. Introduction to Artificial Intelligence
2. Programming for Problem Solving
3. Maths - I
4. Engineering Physics
5. Computer Aided Design & Drafting
6. Principles of Electrical and Electronics Engineering

Sem - II

1. Application based Programming in Python
2. Maths - II
3. Advanced Physics 
4. Engineering Chemistry
5. Basic Mechanics
6. Multimedia Application

Sem - III

1. Introduction to Biology for Engineers
2. Discrete Structures
3. Computer Organization and Architecture
4. Data Structures Using C
5. OOPS Using Java
6. Soft computing

Sem - IV

1. Communicate to conquer
2. Principles of Operating System
3. Computer Networks
4. Data Base Management System
5. Environmental Science
6. Advance Java

Sem - V

1. Design and Analysis of Algorithm
2. Theory of Computation
3. Software Engineering and Testing Methodologies
4. Introduction to Machine Learning
5. Program Elective - I
6. Mathematical and Statistical Techniques

Sem - VI

1. Compiler Design
2. Artificial Intelligence
3. Neural Networks
4. Program Elective - II
5. Open Elective
6. Statistics

Sem - VII

1. Web Technologies
2. Professional Ethics and Values
3. Genetic Algorithm and Applications
4. Graphical Models and Bayesian Networks
5. Deep Learning
6. Advanced Big Data Analytics

Sem - VIII

1. Reinforcement Learning
2. Recommender System
3. Time Series Analysis
4. Application of AI and ML in Robotics
5. Expert System
6. AI Platforms