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    Discrete Math | Learn Discrete Mathematics By Easy Methods

    Posted By: ELK1nG
    Discrete Math | Learn Discrete Mathematics By Easy Methods

    Discrete Math | Learn Discrete Mathematics By Easy Methods
    Last updated 6/2024
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.96 GB | Duration: 7h 13m

    Discrete Maths for Computer Science , Data science and Engineering Students

    What you'll learn

    Learn the foundational concepts of Set theory

    Learn the foundational concepts of Relations

    Learn the foundational concepts of Functions

    Learn the foundational concepts of Combinatorics

    Learn the foundational concepts of Logics

    Requirements

    A fair background math up to high school level

    Description

    This course on Discrete Mathematics can be used by the the students of math , computer science and Engg. as an introduction to the fundamentals. Discrete Mathematics / Discrete Math is the backbone of Computer Science and Mathematics . It is the study of topics that are discrete rather than continuous. The topics that are covered in this course are the essential ones which are required to be learned and understood by every Computer science or engineering student. The goal of this course is to build up a strong mathematical foundation for students so that they may use their knowledge in building up technological areas like data structures, algorithms and database theory, This course can be broken into a few key categories:Set theoryRelationsFunctionsCombinatorics LogicsPrinciple of Mathematical InductionEach of the above topics has a simple explanation of concepts so that students may grasp them easily. I am sure that this course will be create a strong platform for students and those who are studying for higher Mathematics and would help them in a better understanding of the subject.You will also get a good support in Q&A section . It is also planned that based on your feed back, new course materials  like  Graph theory etc. and many more may be added to the course. Hope the course will develop better understanding and boost the self confidence of the students.Waiting for you inside the course!So hurry up and Join now !!

    Overview

    Section 1: Set Theory

    Lecture 1 Introduction and Description of a Set

    Lecture 2 Illustrations

    Lecture 3 Types of Sets

    Lecture 4 Illustrations

    Lecture 5 Venn Diagrams

    Lecture 6 Illustration1

    Lecture 7 Illustration2

    Lecture 8 Illustration3

    Lecture 9 Laws of Algebra of Sets

    Lecture 10 Illustration

    Lecture 11 Important Results on number of elements in sets

    Lecture 12 Illustration 1

    Lecture 13 Illustration 2

    Lecture 14 Illustration 3

    Section 2: Relations

    Lecture 15 Cartesian Product of sets

    Lecture 16 Illustration1

    Lecture 17 Illustration2

    Lecture 18 Illustration3

    Lecture 19 Illustration4

    Lecture 20 Illustration5

    Lecture 21 Illustration6

    Lecture 22 Illustration7

    Lecture 23 Relation : Introduction & Domain , Codomain and Range

    Lecture 24 Illustration1

    Lecture 25 Illustration2

    Lecture 26 Illustration3

    Lecture 27 Types of Relations

    Section 3: Functions

    Lecture 28 Function: Definition & its Domain, Codomain and Range

    Lecture 29 Equality of Functions

    Lecture 30 Even and Odd Functions

    Lecture 31 Illustrations

    Section 4: Combinatorics

    Lecture 32 Factorial notations

    Lecture 33 Illustration 1

    Lecture 34 Illustration 2

    Lecture 35 Illustration 3

    Lecture 36 Illustration 4

    Lecture 37 Illustration 5

    Lecture 38 Illustration 6

    Lecture 39 Fundamental Principle of Counting

    Lecture 40 Illustration 1

    Lecture 41 Illustration 2

    Lecture 42 Permutations

    Lecture 43 Illustrations(Permutations)

    Lecture 44 Combinations

    Lecture 45 Illustrations(Combinations)

    Section 5: Logics

    Lecture 46 Basic Concepts

    Lecture 47 Illustration 1

    Lecture 48 Illustration 2

    Section 6: Principle of Mathematical Induction

    Lecture 49 Basic Concepts

    Lecture 50 Illustration 1

    Lecture 51 Illustration 2

    Lecture 52 Illustration 3

    Lecture 53 Illustration 4

    This course is designed for students of Data science , Computer Science, Mathematics and Engineering