Unit-I: Teaching Aptitude
- Teaching: Concept, objectives, levels of teaching (memory, understanding, and reflective), characteristics, and basic requirements
- Learner’s characteristics: Characteristics of adolescent and adult learners (academic, social, emotional and cognitive), individual differences
- Factors affecting teaching related to Teacher, Learner, Support material, Instructional facilities, Learning environment, and Institution
- Methods of teaching in higher learning institutions: Teacher-centred vs learner-centered methods; offline vs online methods (Swayam, Swayamprabha, MOOCs, etc.).
- Teaching support system: Traditional, modern, and ICT based
- Evaluation systems: Elements and types of evaluation, evaluation in Choice Based Credit Systems in higher education, computer-based testing, innovations in evaluation systems
Unit-II: Research Aptitude
- Research: Meaning, types, and characteristics, positivism and post-positivistic approach to research
- Methods of research: Experimental, descriptive, historical, qualitative and quantitative methods
- Steps of research
- Thesis and article writing: Format and styles of referencing
- Application of ICT in research
- Research ethics
Unit-III: Comprehension
- A passage of text is given. Questions are asked from the passage which needs to be answered.
Unit-IV: Communication
- Communication: Meaning, types, and characteristics of communication
- Effective communication: Verbal and non-verbal, inter-cultural and group communications, classroom communication
- Barriers to effective communication
- Mass-media and society
Unit-V: Mathematical Reasoning and Aptitude
- Types of reasoning
- Number series, letter series, codes, and relationships
- Mathematical aptitude (fraction, time & distance, ratio, proportion and percentage, profit and loss, interest and discounting, averages etc.)
Unit-VI: Logical Reasoning
- Understanding the structure of arguments: Argument forms, the structure of categorical propositions, mood and figure, formal and informal fallacies, uses of language, connotations, and denotations of terms, the classical square of opposition
- Evaluating and distinguishing deductive and inductive reasoning
- Analogies
- Venn diagram: Simple and multiple uses for establishing the validity of arguments
- Indian Logic: Means of knowledge
- Pramanas: Pratyaksha (Perception), Anumana (Inference), Upamana (Comparison), Shabda (Verbal testimony), Arthapatti (Implication) and Anupalabddhi (Non-apprehension)
- Structure and kinds of Anumana (inference), Vyapti (invariable relation), Hetvabhasas (fallacies of inference)
Unit-VII: Data Interpretation
- Sources, acquisition and classification of data
- Quantitative and qualitative data
- Graphical representation (bar-chart, histograms, pie-chart, table-chart and line-chart) and mapping of data
- Data interpretation
- Data and governance
Unit-VIII: Information and Communication Technology (ICT)
- ICT: General abbreviations and terminology
- Basics of Internet, Intranet, E-mail, Audio and Video-conferencing
- Digital initiatives in higher education
- ICT and Governance
Unit-IX: People, Development and Environment
- Development and environment: Millennium development and Sustainable development goals
- Human and environment interaction: Anthropogenic activities and their impacts on the environment
- Environmental issues: Local, regional and global; air pollution, water pollution, soil pollution, noise pollution, waste (solid, liquid, biomedical, hazardous, electronic), climate change and its socio-economic and political dimensions
- Impacts of pollutants on human health
- Natural and energy resources: Solar, Wind, Soil, Hydro, Geothermal, Biomass, Nuclear and Forests
- Natural hazards and disasters: Mitigation strategies
- Environmental Protection Act (1986), National Action Plan on Climate Change, International agreements/efforts -Montreal Protocol, Rio Summit, Convention on Biodiversity, Kyoto Protocol, Paris Agreement, International Solar Alliance
Unit-X: Higher Education System
- Institutions of higher learning and education in ancient India
- Evolution of higher learning and research in post-independence India
- Oriental, conventional and non-conventional learning programmes in India
- Professional, technical and skill-based education.
- Value education and environmental education
- Policies, governance, and administration
| UGC NET Computer Science Syllabus | |
|---|---|
| Unit 1: Discrete Structures and Optimization | Mathematical Logic |
| Sets and Relations | |
| Graph Theory | |
| Optimization | |
| Counting, Mathematical Induction, and Discrete Probability | |
| Unit 2: Computer System Architecture | Digital Logic Circuits and Components |
| Data Representation | |
| Basic Computer Organization and Design | |
| Register Transfer and Micro operations | |
| Microprogrammed Control | |
| Unit 3: Programming Languages and Computer Graphics | Language Design and Translation Issues |
| Elementary Data Types | |
| Object-Oriented Programming | |
| 2-D Geometrical Transforms and Viewing | |
| 3-D Object Representation, Geometric Transformations, and Viewing | |
| Unit 4: Database Management Systems | Database System Concepts and Architecture |
| SQL | |
| Data Warehousing and Data Mining | |
| Normalization for Relational Databases | |
| NoSQL | |
| Unit 5: System Software and Operating System | System Software |
| Basics of Operating Systems | |
| Threads, CPU Scheduling | |
| Process Management | |
| Storage Management | |
| Unit 6: Software Engineering | Software Process Models |
| Software Design | |
| Estimation and Scheduling of Software Projects | |
| Software Configuration Management | |
| Software Quality | |
| Unit 7: Data Structures and Algorithms | Performance Analysis of Algorithms and Recurrences |
| Data Structures | |
| Graph Algorithms | |
| Complexity Theory | |
| Advanced Algorithms | |
| Unit 8: Theory of Computation and Compilers | Theory of Computation |
| Context-Free Language | |
| Unsolvable Problems and Computational Complexity | |
| Regular Language Models | |
| Code Generation and Code Optimization | |
| Unit 9: Data Communication and Computer Networks | Data Communication |
| World Wide Web (WWW) | |
| Functions of OSI and TCP/IP Layers | |
| Mobile Technology | |
| Network Security | |
| Unit 10: Artificial Intelligence (AI) | Artificial Neural Networks (ANN) |
| Genetic Algorithms (GA) | |
| Natural Language Processing | |
| Knowledge Representation | |
| Multi-Agent Systems | |
