COMPUTER SCIENCE ORIENTATION – DECEMBER 2025

Course Curriculum

This UGC NET Crash Course is designed to make you exam-ready with a strategic, results-driven approach. The curriculum is structured into modules covering all Paper 2 topics comprehensively.

Module 1: Introduction and Orientation

• Overview of the UGC NET Exam
• Paper structure and syllabus breakdown
• December 2025 updates and important changes
• Time management and preparation strategies

Module 2: Discrete Structures and Optimization

• Propositional and Predicate Logic
• Sets, Relations, and Functions
• Graph Theory, Trees, and Applications
• Boolean Algebra and Simplifications
• Optimization Techniques
• Linear Programming
• Simplex Method

Module 3: Computer System Architecture

• Digital Logic and Number Systems
• CPU Architecture and Microprogramming
• Memory Hierarchy: Cache and Virtual Memory
• Instruction Pipelining, RISC vs. CISC
• Input/Output Systems and Peripherals

Module 4: Programming Languages and Compilers

• Overview of C, C++, Java, and Python
• Programming Paradigms: Functional vs. OOP
• Language Translators: Compiler, Assembler, Interpreter
• Compiler Phases
• Lexical Analysis
• Parsing
• Code Optimization and Generation

Module 5: Operating Systems

• Process Management and Scheduling
• Deadlocks and Synchronization
• Memory Management: Paging and Segmentation
• File Systems and Disk Scheduling
• Virtualization and Cloud Basics

Module 6: Database Management Systems

• Relational Model and ER Diagrams
• SQL and PL/SQL Commands
• Normalization and Schema Design
• Transaction Management and Concurrency Control
• Query Optimization and Indexing
• Introduction to NoSQL Databases

Module 7: Software Engineering and Web Technologies

• Software Development Life Cycle (SDLC)
• Agile, DevOps, and CI/CD Basics
• Software Testing Strategies
• Web Basics: HTML, CSS, JavaScript
• Web Security and OWASP Guidelines

Module 8: Computer Networks and Security

• OSI and TCP/IP Models
• Switching and Routing Concepts
• IP Addressing and Subnetting
• Network Security Protocols: SSL, TLS, HTTPS
• Cryptography Fundamentals
• Cybersecurity Threats and Prevention

Module 9: Artificial Intelligence and Data Science

• AI Concepts and Applications
• Search Algorithms: DFS, BFS, A*
• Knowledge Representation and Reasoning
• Introduction to Machine Learning
• Neural Networks and Deep Learning Basics
• Data Mining and Big Data Overview

Module 10: Practice, PYQs, and Mock Tests

• Topic-wise Previous Year Questions with explanations
• Full-length Mock Tests based on the latest pattern
• Time-bound problem-solving practice
• Performance Analysis and Improvement Plan

What Students Will Learn

By the end of this course, students will:

• Master the complete UGC NET Paper 2 syllabus for Computer Science
• Develop strong problem-solving skills through PYQs and mock tests
• Gain in-depth knowledge of core subjects:
• Discrete Structures
• DBMS
• Programming and Compilers
• AI and Data Science
• Networking and Security
• Learn strategic exam techniques for time management and accuracy
• Be fully confident and prepared to qualify for UGC NET and JRF