UGC NET Computer Science Concepts Study Plan

UGC NET Computer Science Paper-2 syllabus

Based on the syllabus of UGC NET Computer Science, let me give you an order of topics to study for any examination which follows similar topics as that of UGC NET.

What is this order?

In this order, you will understand which topics are needed for understanding of other topics in the syllabus.

Let us take an example:

• If you learn Logic in Discrete Structures unit, you can apply it for Artificial Intelligence unit's Logic topic
• If you learn about Graphs and Trees in Discrete Structures, you can apply it to learn Data Structures and Algorithms topics like Graph Algorithms
• If you learn about TOC topics, then with that understanding you can learn Compilers topics. You can apply that learning in AI unit's Natural Language Processing topic too.

In this way, by completing one topic in a particular unit, you can cover similar (or related) topics in the other units too. At the same time, based on your understanding from one topic, you can elevate your learning to some complicated topics also.

Note: This order of topics is provided to give proper understanding of the subject. 

Go to Paper-1

PAPER-2: Computer Science

I have divided the topics in the syllabus into 2 levels. Only by understanding level-1 topics, you can learn about level-2 topics. 

Level-1:

1. Digital Logic, Data Representation, Boolean Algebra - Unit 1, Unit 2 (and Paper-1 Unit-8)
2. Programming Languages - Unit 3
3. Discrete Structures (Mathematical Logic to Group Theory) - Unit 1
4. Discrete STructures (Graph theory), Data Structures, Graph Algorithms - Unit 1, Unit 7
5. TOC (Regular, CFL, Turing machines, Unsolvable problems) - Unit 8
6. Data Communication Networks (till TCP/IP functions) - Unit 9
7. DBMS (till DB security topic) - Unit 4
8. OS (till Security) - Unit 5
9. Software Engineering - Unit 6
10. Algorithms (remaining topics) - Unit 7

Level-2:

1. Optimization (LPP and remaining topics) - Unit 1
2. Compilers (Lexical Analysis to Code Optimization) - Unit 8
3. AI (Approaches to Genetic Algorithms) - Unit 10
4. DBMS (Enhanced data models, Data mining), AI (ANN) - Unit 4, Unit 10
5. Networks (WWW, Network Security, Mobile Computing) - Unit 9
6. Computer Graphics, DBMS (Big Data, NoSQL) - Unit 3, Unit 4
7. OS (Virtual Machines to Distributed systems), Networks (Cloud computing, IoT) - Unit 5, Unit 9

Overall, it is up to the aspirant to either learn all subtopics of a particular topic or to stick on to frequently asked topics. But this order of learning will enhance your understanding.

This order of topics does not help people who just want to clear exam (without any understanding).

PAPER-1:

For paper-1, I will provide the units which can be combined while learning.

Start paper-1 topics after completing level-1's:

(1) Digital Logic, Data Representation, Boolean Algebra (Includes, Unit-8 of Paper-1)

(2) Discrete Structures (Mathematical Logic)

• Comprehension, Mathematical aptitude, Data Interpretation - Unit 3, 5 and 7
• Teaching and Research Aptitude - Unit 1 and 2
• Communication, Information and Communication Technology - Unit 4, Unit 8
• Logical reasoning- Unit 6
• People-Development-Environment, Higher education - Unit 9, Unit 10