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1
First Order Logic (1)
2
First Order Logic (2)
3
Rules of Influence for Quantified proportions
4
Mathematical Induction
5
Mathematical Induction
6
Sample Space ,Events
7
Probability, Conditional probability
8
Independent Events, Bayes Theorem
9
Information and mutual information
10
Basic definition
11
Isomorphism and sub graphs
12
Walks,paths and circuits, operations on graphs
13
Euler graphs, Hamiltonian circuits
14
Shortest path problem
15
Planar graphs
16
Basic definitions
17
Properties of relations
18
Graph of Relations
19
Matrix of a Relation
20
Closure of a Relation (1)
21
Closure of a Relation (2)
22
Partial Ordered Relation
23
Partially ordered sets
24
Lattices
25
Boolean algebra
26
Permutations and Combinations (Continued)
27
The principle of Inclusion and Exclusion
28
Methods of Proof of an Implication
29
Mathematical Induction
30
Logical Inferences
31
Introduction to the theory of sets
32
Fundamentals of Logic
33
Application of the principle of Inclusion and Exclusion
Description:
Explore the foundations of discrete mathematics through a comprehensive course covering first-order logic, mathematical induction, probability theory, graph theory, set theory, and combinatorics. Learn about logical inferences, quantified proportions, sample spaces, conditional probability, Bayes' theorem, information theory, graph isomorphism, Euler and Hamiltonian circuits, planar graphs, relations, partial orders, lattices, Boolean algebra, permutations and combinations, and the principle of inclusion and exclusion. Develop problem-solving skills and gain a solid understanding of mathematical proofs and logical reasoning essential for computer science and advanced mathematics.

Discrete Mathematics

NIOS
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