DIGIMAT: Computer Science and Engineering

Course categories:

NOC:Introduction to Programming in C

NOC:Introduction to Soft Computing

NOC:Introduction to Wireless and Cellular Communications

NOC:Machine Learning for Engineering and Science Applications

NOC:Machine Learning,ML

NOC:Mobile Computing

NOC:Model Checking

NOC:Modern Algebra

NOC:Modern Application Development

NOC:Multi-Core Computer Architecture-Storage and Interconnects

NOC:Multimodal Interaction

NOC:Natural Language Processing

NOC:Object Oriented System Development using UML, Java and Patterns

NOC:Object-Oriented Analysis and Design

NOC:Operating System Fundamentals

NOC:Parallel Algorithms

NOC:Practical Machine Learning with Tensorflow

NOC:Privacy and Security in Online Social Networks

NOC:Problem Solving through Programming in C

NOC:Programming and Data structures (PDS)

NOC:Programming in C++

NOC:Programming in Java

NOC:Programming, Data Structures and Algorithms

NOC:Programming, Data Structures and Algorithms (Aricent)

NOC:Programming, Data Structures and Algorithms in Python

NOC:Python for Data Science

NOC:Randomized Algorithms

NOC:Real Time Operating System

NOC:Reinforcement Learning

NOC:Scalable Data Science

NOC:Social Networks

NOC:Software Engineering

NOC:Software Project Management

NOC:Software Testing

NOC:Software Testing (2)

NOC:Spatial Informatics

NOC:Switching Circuits and Logic Design

NOC:Synthesis of Digital Systems

NOC:The Joy of Computing using Python

NOC:Theory of Computation

NOC:User-centric Computing for Human-Computer Interaction

NOC:VLSI Physical Design

NOC:Wireless Ad Hoc and Sensor Networks

Numerical Optimization

Operating Systems

Parallel Algorithm

Parallel Computing

Pattern Recognition

Performance Evaluation of Computer Systems

Principles of Compiler Design