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UGC Net Computer science

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Last updated Aug 2026

Course Overview

About This Course

Welcome to the UGC NET Computer Science Preparation Course, a comprehensive and exam-oriented course designed to help you succeed in the UGC NET Computer Science examination. Whether you are aspiring to become an Assistant Professor, pursue a Ph.D., or build a career in research and academia, this course provides a structured approach to mastering the complete UGC NET Computer Science syllabus.


The course covers all major topics prescribed by the National Testing Agency (NTA), including Algorithms, Data Structures, Programming, Computer Networks, Operating Systems, Database Management Systems, Theory of Computation, Compiler Design, Computer Organization, Software Engineering, Artificial Intelligence, and more. Each concept is explained in a simple and systematic manner, supported by practice questions, previous year papers, and exam-oriented strategies to help you improve your conceptual understanding and problem-solving skills.


By the end of this course, you will have the knowledge, confidence, and exam readiness required to perform well in the UGC NET Computer Science examination and achieve your academic and professional goals.

Learning Outcomes

Understand the complete UGC NET Computer Science syllabus and examination pattern.

Master the core Computer Science subjects required for the UGC NET examination.

Solve previous year and exam-level questions with confidence and accuracy.

Develop effective problem-solving, analytical, and time management skills.

Prepare strategically to qualify the UGC NET Computer Science examination.

Apply exam-oriented strategies, mock test analysis, and revision techniques to maximize your performance in the UGC NET Computer Science examination.

Curriculum

13 Sections • 125 Lectures
Introduction
1:17
What is Logic?
Preview
3:16
What is Propositional Logic?
4:39
What is Compound Propositional Logic?
4:51
What are Propositional Connectivities?
3:30
Conjunction or AND Logic
4:17
Exclusive OR Connectivities
4:53
Implications or If-Then Logic
4:49
Bi-Conditional Operator (If and Only If)
6:55
Inverse, Converse and Contra-Positive
7:50
Understanding Precedence of Logical Operators
8:43
Understanding Tautologies, Contradictions and Contingency
8:41
What is Propositional Equivalence?
Preview
4:05
Logical Equivalence: Identity Law, Denomination Law, Double Negation Law
4:24
Commutative, Associative, Distributive, De Morgan's, Absorption, & Negation Laws
4:52
Conditional Statements
8:08
Bi-Conditional Statements
2:29
PYQ 1
5:08
PYQ 2
4:08
PYQ 3
3:48
Normal Form: Introduction
5:48
Normal Form: CNF Introduction with PYQ 1
8:16
Normal Form: CNF Introduction with PYQ 2
3:36
Normal Form: DNF Introduction with PYQ 1
3:19
Normal Form: DNF Introduction with PYQ 2
4:04
Predicate Logic
7:45
Quantifiers Introduction
2:34
Universal Quantifiers
8:33
Existential Quantifiers
3:47
Other Quantifiers
9:43
Quantifiers Equivalences
11:05
Nested Quantifiers Introduction
5:38
Nested Quantifiers Questions
9:57
Nested Quantifiers Questions Part 2
3:45
Rules of Inference: Introduction
6:39
Question Using Truth Table
4:02
Question Using Truth Table Part 2
4:24
Rules of Inference: Modus Ponens Modus Tollens
5:06
Rules of Inference: HS DS
3:17
Addition Conjunction Simplification
4:10
Rules Resolution CD DD
5:18
Rules of Inference: Fallacy
5:12
Rules of Inference: PYQ
3:58
Rules of Inference: PYQ 2
1:29
Set Operations: Introduction
Preview
4:10
Set Operations: Representation
4:37
Set Operations: Cardinality of Set
5:39
Set Operations: Types of Set Part 1
4:34
Set Operations: Types of Set Part 2
3:51
Set Operations: Types of Set_Subset
4:40
Set Operations: Types of Set_Subset Properties
5:55
Types of Set: Universal and Disjoint
2:45
Types of Set: Power Set
6:09
Types of Set: Ordered Pair and Product
3:26
Union Intersection
3:46
Difference and Complement
5:54
Symmetric Difference
5:03
PYQ TIFR 2019
4:54
PYQ 1996: GATES
2:41
Relation and Cartesian Product
5:46
Relation and Cartesian Product: Properties
7:28
Relation Domain Range
1:22
Universal Void Relation
4:07
Complement Relation
2:09
Inverse Relation Types
4:42
Reflexive Relations
7:07
Irreflexive Relations
3:18
Symmetric Relations
3:48
Antisymmetric Relations
6:01
Asymmetric Relations
3:54
Transitive Relations
9:03
Warshall's Algo
5:21
Equivalence Relations
4:48
Equivalence Class
8:17
PYQ Gate
2:17
PYQ NIELIT
4:59
PYQ APPSC
4:22
PYQ APPSC 2
1:54
PYQ UGC NET 2019
6:04
PYQ UGC NET 2008
1:12
Partial Order Set: POSET
Preview
2:22
POSET: Hasse Diagram
7:12
POSET: Hasse Diagram 1
6:27
POSET: Hasse Diagram 2
2:48
POSET: Maximal and Minimal
7:02
POSET: Maximum and Minimum
8:16
POSET: Upper and Lower Bound
5:49
POSET: Upper and Lower Bound Questions
8:52
POSET: LUB GLB Introduction
6:30
POSET: LUB GLB Practice 1
4:06
POSET: LUB GLB Practice 2
3:35
POSET: Join Semilattice
5:38
POSET: Join Semilattice Practice
6:38
POSET: Meet Semilattice
3:09
POSET: Meet Semilattice Practice
3:52
POSET: Lattice Introduction
5:46
POSET: Lattice Practice 1
1:57
POSET: Lattice Practice 2
2:32
POSET: Lattice Gate PYQ
3:03
POSET: Lattice Gate PYQ 2
1:59
POSET: Lattice NET PYQ 1
2:55
POSET: Lattice NET PYQ 2
3:15
Probability Rules of Sum Introduction
5:56
Probability Rules of Sum practice
1:15
Probability Rules of Product Introduction
3:54
Probability Rules of Product Practice
4:50
Rules of Factorial Introduction
3:00
Permutation and Combinations Introduction
Preview
6:49
Permutation and Combinations Introduction 2
3:21
Permutation and Combinations Introduction 3
2:51
Permutation and Combinations Practice
5:00
Permutation and Combinations PYQ 1
1:54
Permutation and Combinations PYQ 2
5:20
Permutation and Combinations PYQ 3
2:10
Permutation Tricks
4:28
Combination Tricks
3:12
Permutation and Combinations Practice Question 1
6:31
Permutation and Combinations Practice Question 2
3:29
Permutation and Combinations Practice Question 3
4:22
Permutation and Combinations Practice Question 4
2:37
Probability Combination Question 1
5:46
Probability Combination Question 2
2:54
Probability Combination Question 3
1:53
Probability Combination Question 4
2:23
Probability Combination Question 5
4:00
Meet your instructors

Learn from Experts and Leaders

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An experienced and passionate instructor, [Name] is dedicated to fostering a dynamic and engaging learning environment where students feel motivated to grow both academically and personally. With a strong foundation in their subject area, they bring clarity, structure, and enthusiasm to every lesson, ensuring complex concepts are made accessible and relevant. Their teaching approach blends theoretical knowledge with practical application, encouraging students to think critically and develop problem-solving skills. Known for their supportive and approachable demeanor, [Name] builds meaningful connections with students, understanding that each learner has unique strengths and challenges. They are committed to creating an inclusive classroom atmosphere where curiosity is encouraged, questions are welcomed, and every student feels valued. By adapting teaching methods to suit diverse learning styles, they help students gain confidence and achieve their full potential. Beyond the classroom, [Name] is deeply invested in continuous learning and professional development, staying updated with the latest educational practices and advancements in their field. They often contribute to curriculum development, mentorship programs, and extracurricular activities, reinforcing their role as not just an instructor, but a mentor and guide. Their ultimate goal is to inspire lifelong learning and empower students to succeed in an ever-evolving world.

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Mr. Pankaj Aggarwal

Mr. Pankaj Aggarwal

MCA | UGC NET Computer Science Qualified | Computer Science Educator

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Pankaj Aggarwal is an accomplished Computer Science educator with over 8 years of teaching experience in preparing students for UGC NET Computer Science and other academic examinations. He holds a Master of Computer Applications (MCA) and has demonstrated exceptional academic excellence by qualifying the UGC NET Computer Science examination in his very first attempt, and earning the distinction of being twice UGC NET Computer Science qualified. Renowned for his strong conceptual knowledge and student-centric teaching approach, Pankaj specializes in simplifying complex Computer Science concepts through clear explanations, practical examples, and exam-oriented strategies. His engaging teaching methodology empowers learners to build a solid foundation, strengthen problem-solving skills, and perform confidently in competitive examinations. Passionate about quality education, he is committed to helping aspiring educators and Computer Science professionals achieve academic excellence and success in the UGC NET examination.

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