Computer Science PG Program

Highlights of Syllabi – PG

  • Big Data Analytics

  • Internet of Things

  • Android Technology

  • Data Mining

  • ACloud Computing

  • Software Testing

  • Machine Learning

Details of the Course of Post-Graduate Studies in Computer Science

SEMESTER I

Course Title of the Paper
C1 Object Oriented Analysis and Design with patterns
C2 Design and Analysis of Algorithms
C3 Database Management Systems
C4 Software Development Process
C5 Statistics for Software Development
L1 Design Lab
L2 DBMS Lab
S1 Complementary skills for Software Professionals

 

SEMESTER II

Course Title of the Paper
C6 Software Architecture
C7 Data Mining
C8 Enterprise Application Development
C9 Operating Systems and Network Programming
C10 Elective 1 (one of the following)
Cryptography and Security
Artificial Intelligence
Advanced Computer Networks
L3 Enterprise Application and Data mining Lab
L4 Network Programming Lab
S2 Complementary skills for Software Professionals

 

SEMESTER III

Course Title of the Paper
C11 Applied Data Analytics
C12 Web Application Development with Android
C13 Elective 2 (one of the following)
Machine Learning
Embedded Systems
User Interface Design
C14 Elective 3 (one of the following)
High Performance Computing and Cloud Computing
Compiler Design
Performance Modeling
Social Networks
L5 Android and User Interface Lab
L6 Lab for Elective
S3 Complementary skills for Software Professionals
OE Open Elective

 

SEMESTER IV

Course Title of the Paper
C15 Big Data Analytics
L7 Big data Practical
P1 Project work
S4 Complementary skills for Software Professionals