Udemy - Discrete Mathematics (updated 7 - 2021) torrent

Discrete Mathematics (updated 7/2021)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.00 GB | Duration: 18h 54m
Master Discrete Math for Computer Science and Mathematics Students
What you'll learn
You will learn and develop the ability to think, read and write abstractly and Mathematically.
You will learn the fundamentals of Set Theory including set builder notation, and set operations and properties.
You will learn tautologies, contradictions, De Morgan's Laws in Logic, logical equivalence, and formulating quantified statements.
You will lear how to create truth tables and tell the falsehood and truthfulness of a compound statements.
You will know how to write, read and prove Mathematical statements using a variety of methods.
You will understand boolean expressions, black boxes, logical gates and digital circuits.
You will understand the Fundamental Theorem of Arithmetics, modular arithmetic, and learn how to find GCD & LCM.
You will acquire a solid foundation in functions, function composition & combination, bijective and inverse functions.
You will learn how to find equivalence relations and equivalence classes.
You will learn essential concepts in Statistics and Combinatorics.
You will master arithmetic and geometric sequences, and partial sums.
You will learn the fundamental concepts in Graph Theory like incidence and adjacency matrices, walks, eccentricity, hamiltonian paths and circuits, connectedness, and Ore's Theorem.

A fair background in algebra.

Description
WHAT IS THIS COURSE ABOUT?

Discrete Mathematics (DM), or Discrete Math is the backbone of Mathematics and Computer Science. DM is the study of topics that are discrete rather than continuous, for that, the course is a MUST for any Math or CS student. The topics that are covered in this course are the most essential ones, those that will touch every Math and Science student at some point in their education. The goal of this course is to build the mathematical foundation for computer science courses such as data structures, algorithms, relational and database theory, and for mathematics courses such as linear and abstract algebra, combinatorics, probability, logic and set theory, and number theory.