CSE

The course of Computer Science Engineering (CSE) is a four-year undergrad program in which the candidate will be able to study various aspects of topics related to Computer Programming and Networking. The applicants who are interested in studying this course should know that in this, they will be able to get the knowledge of Computation, programming languages, program design, computer hardware, software and integrates several fields of Computer Science. Furthermore, this course requires the candidates to be eligible enough.

CSE Eligibility Criteria

The candidates interested to study Computer Science Engineering should make sure that they are eligible as per the criteria. One can find the eligibility criteria below:-

Must have completed their 12th class with Physics, Chemistry, and Mathematics as core subjects.

Must have studied their 12th from a recognized board.

Must have secured a minimum of 60% in their 12th.

CSE Admission Procedure

If the applicants are interested in studying the course of CSE at one of the best institutes will have to follow a specific admission procedure. The CSE Admission procedure can be found below:-

The applicants should apply for the Aircraft Engineering Common Entrance Test.

After qualifying the entrance examination (AE CET), the candidate will have to apply for counselling.

The counselling will then follow the allocation of the colleges, seat allotment and further procedure.

CSE Subjects

Professional Core Courses:-

Fundamentals of Computer Programming

Data Structures

Computer Networks

Object-Oriented Programming

Design and Analysis of Algorithms

Computer Architecture and Organisation

Discrete Mathematics

Database Management Systems

Operating Systems

Software Engineering

Theory of Computation

Introduction to Communication Systems

Multi-device Programming

Advanced Java Programming

Professional Elective Courses:-

Artificial Intelligence

Artificial Neural Network

Introduction to Soft Computing

Introduction to Internet-Of-Things

Statistical Modeling for Data Science

Advanced Communication Networks

High-Performance Computing

Introduction to Linear and Nonlinear Optimisation

Wireless Sensor Networks and Applications

Computer Vision

Mobile Platform Programming

Web Intelligence and Algorithms

Machine Learning

Computational Geometry and Applications

Cyber Security

Game Theory

Data Mining

Introduction to Information Security

Modelling and Simulation

Information Retrieval

Natural Language Processing

Compiler Design

Microprocessors and Microcontrollers