7.1.1 NTA UGC NET Paper 2 Computer Science Class 01 | 100 Mock Questions |

Download or view the complete pdf material for this class https://drive.google.com/file/d/1EzrW... Welcome to CoreByteITLab – IT Training & Technology Education. This video is based on 7.1.1 NTA UGC NET Paper 2 Computer Science – Class 01 and contains a 100-question university-level, syllabus-based mock test designed for examination preparation, revision, self-study, assignments, faculty instruction, and technical education. The mock test contains 100 multiple-choice questions, with 4 options per question and one intended correct answer. The questions are distributed equally across 10 content areas, with 10 questions from each area. COMPLETE COURSE / MOCK TEST SYLLABUS 1. Mathematical Logic Fundamentals — Questions 1–10 Propositions and truth values Logical connectives Conjunction and disjunction Implication Negation Biconditional Tautology Contradiction Rules of inference Modus ponens 2. Propositional Logic and Normal Forms — Questions 11–20 Conjunctive Normal Form (CNF) Disjunctive Normal Form (DNF) Principal Disjunctive Normal Form (PDNF) Principal Conjunctive Normal Form (PCNF) Logical laws De Morgan's laws Absorption law Functional completeness Boolean functions Normal-form construction 3. Predicate Logic and Quantifiers — Questions 21–30 Predicates and open formulas Universal quantifier Existential quantifier Quantifier negation Free and bound variables Closed formulas Quantified statements Predicate translation Quantifier reasoning Quantifier equivalence 4. Sets and Set Operations — Questions 31–40 Intersection Union Set equality Power sets Inclusion-exclusion Cartesian products Cardinality Set identities Power-set cardinality Set-operation properties 5. Relations and Their Properties — Questions 41–50 Reflexive relations Symmetric relations Transitive relations Equivalence relations Partial-order definition Equivalence examples Counting relations Antisymmetry Equivalence classes Relation properties 6. Partial Orders, Functions and Counting — Questions 51–60 Partial orders Comparable elements Hasse diagrams Injective functions Surjective functions Bijective functions Counting functions Counting injections Counting bijections Pigeonhole principle 7. Combinatorics and Mathematical Induction — Questions 61–70 Factorials Combinations Permutations Combination formula Mathematical induction Induction step Summation formulas Applications of combinations Scope of induction Strong induction 8. Discrete Probability and Information Concepts — Questions 71–80 Basic probability Addition rule Independence Conditional probability Probability mass function Expectation Bernoulli expectation Variance Information entropy Binary entropy 9. Graph Theory — Questions 81–90 Simple graphs Handshaking lemma Complete graphs Complete-graph edge count Graph connectivity Acyclic graphs Bipartite graphs Bipartite characterization Hamiltonian cycles Euler circuits 10. Trees, Graph Algorithms and Optimization — Questions 91–100 Tree properties Tree definition Rooted trees Tree traversal BFS DFS Dijkstra algorithm Minimum spanning trees Kruskal algorithm Floyd–Warshall algorithm The PDF explicitly allocates 10 questions to each of these 10 content areas, producing the complete 100-question mock test. WHAT YOU WILL PRACTICE This mock test helps learners revise important concepts including: Propositions and truth values Implication and biconditional Tautology and contradiction CNF, DNF, PDNF and PCNF De Morgan's laws Quantifiers and quantifier negation Free and bound variables Set operations and cardinality Cartesian products Relations and their properties Equivalence relations and partial orders Injective, surjective and bijective functions Pigeonhole principle Permutations and combinations Mathematical induction Probability and conditional probability Expectation, variance and entropy Graph connectivity Eulerian and Hamiltonian concepts Trees and graph algorithms MOCK TEST STRUCTURE Total Questions: 100 Question Type: Multiple Choice Questions (MCQs) Options: 4 per question Content Areas: 10 Questions per Content Area: 10 Coverage: Questions 1–100 .COREBYTEITLAB CoreByteITLab – IT Training & Technology Education This educational material is structured for syllabus-based learning, examination preparation, revision and technical education. Subscribe to CoreByteITLab for more Computer Science educational content, mock tests, study materials and examination-oriented learning resources. HASHTAGS #NTAUGCNET #UGCNET #UGCNETComputerScience #UGCNETCS #ComputerScience #UGCNETPaper2 #MockTest #MockQuestions #MathematicalLogic #DiscreteMathematics #GraphTheory #CoreByteITLab