UGC NET Syllabus for Paper-II Computer Science:

The UGC NET syllabus for Paper-II of the Computer Science subject covers a wide range of topics related to computer science and its applications. It is important for candidates to have a clear understanding of this syllabus in order to prepare effectively for the exam. Below is a detailed breakdown of the syllabus:

1. Data Structures and Algorithms:
- Arrays, Stacks, Queues, Linked Lists, Trees, Graphs
- Searching and Sorting Algorithms
- Dynamic Programming
- Greedy Algorithms
- Divide and Conquer
- Hashing and Hash Tables
- Heaps and Priority Queues

2. Computer Networks:
- Network models and protocols
- Transmission media and technologies
- Routing and switching
- Network security and cryptography
- Network management and administration
- Wireless and mobile networks
- Internet of Things (IoT)

3. Computer Architecture and Organization:
- Digital logic design
- Processor architecture
- Memory systems
- Input/output systems
- Parallel and distributed computing
- Performance evaluation and metrics

4. Operating Systems:
- Process management
- Memory management
- File systems
- Input/output systems
- Synchronization and concurrency control
- Deadlocks and recovery

5. Database Management Systems:
- ER modeling and normalization
- Relational model and algebra
- SQL and query processing
- Indexing and file structures
- Transaction management and concurrency control
- Data warehousing and data mining

6. Software Engineering:
- Software development life cycle
- Requirement analysis and specification
- Software design and architecture
- Software testing and quality assurance
- Software maintenance and evolution
- Software metrics and estimation techniques

7. Programming Languages:
- Procedural, object-oriented, and functional programming paradigms
- Language syntax and semantics
- Compiler and interpreter design
- Type systems and static analysis
- Memory management and garbage collection

8. Computer Graphics and Multimedia:
- 2D and 3D graphics algorithms
- Geometric transformations and projections
- Rendering techniques
- Image and video processing
- Multimedia systems and applications

9. Artificial Intelligence and Machine Learning:
- Knowledge representation and reasoning
- Search algorithms and heuristics
- Machine learning algorithms and techniques
- Natural language processing
- Expert systems and decision support systems

10. Web Technologies:
- HTML, CSS, and JavaScript
- Client-side and server-side scripting
- Web development frameworks and tools
- Web services and APIs
- Responsive web design and mobile applications

11. Computer Security and Cryptography:
- Cryptographic algorithms and protocols
- Authentication and access control
- Network and system security
- Security threats and vulnerabilities
- Intrusion detection and prevention systems

12. Data Science and Big Data Analytics:
- Data preprocessing and cleaning
- Data visualization and exploration
- Statistical analysis and hypothesis testing
- Machine learning for big data analytics
- Distributed and parallel computing for big data

13. Miscellaneous:
- Numerical methods and optimization
- Theory of computation and formal languages
- Computer vision and pattern recognition
- Cloud computing and virtualization
- Internet technologies and protocols

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