Om Raut
Om Raut


Om Raut


Computer Science in Mumbai University R19 Scheme

what is in Computer Science degree course?

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Om Raut
·Jun 14, 2022·

2 min read

Computer Science in Mumbai University R19 Scheme

What will you learn in a Computer Science degree

What is computer science

Computer Science is a 4-year course as a branch of engineering. It covers all the domains in the field of computers and working behind it. Computer science by definition is a study of the principles and uses of computers. During the 4 years, degree students study these domains in-depth. This 4-year course is divided into 8 semesters, 5 subjects per semester.
We will see what are the domains/subjects/courses that we will learn in these 4 years. The structure of the course in this article follows Mumbai university R-19 scheme, but the subjects will be the same in most cases and may be changed in the order from university to university

Structure of the degree

The subjects are divided into the following pattern. (Mumbai University) Subjects per semester are as follows:

Semester 1:

  1. Applied Physics-I
  2. Applied Chemistry-I
  3. Applied Mathematics-I
  4. Basic electrical engineering
  5. Engineering Mechanics

Semester 2:

  1. Applied Physics-II
  2. Applied Chemistry-II
  3. Applied Mathematics-II
  4. Engineering Graphics
  5. C programming

Semester 3:

  1. Applied Mathematics-III
  2. Discrete Structures and Graph Theory
  3. Data Structure
  4. Digital Logic & Computer Architecture
  5. Computer Graphics

Semester 4:

  1. Applied Mathematics-IV
  2. Analysis of Algorithm
  3. Database Management System
  4. Operating System
  5. Microprocessor

Semester 5:

  1. Theoretical Computer Science
  2. Software Engineering
  3. Computer Network
  4. Data Warehousing & Mining
  5. IP(Department level course )

Semester 6:

  1. System Programming & Compiler Construction
  2. Cryptography & System Security
  3. Mobile Computing
  4. Artificial Intelligence
  5. Internet of things(Department level course)

Semester 7:

  1. Machine Learning
  2. Big Data Analytics
  3. Department level course
  4. Department level course
  5. Institute level course

Department level choice any 1 of 3

  1. Machine Vision
  2. Cyber Security
  3. Natural Language Processing

Department level choice any 1 of 3

  1. Augmented and Virtual Reality
  2. Block Chain
  3. Information Retrieval

Semester 8:

  1. Distributed Computing
  2. Department level course
  3. Department level course
  4. Institute level course

Department level choice any 1 of 3

  1. Deep Learning
  2. Digital Forensic
  3. Applied Data Science

Department level choice any 1 of 3

  1. Optimization in Machine Learning
  2. High Performance Computing
  3. Social Media Analytics

These are the theoretical subjects/courses besides them there are a few skill-based courses and practical courses. Detailed posts on each course will come as a series.

Course material

A copy of the Syllabus for the courses is available on the following link.

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