h264, yuv420p, 1280×720, 82 kb/s | English, aac, 48000 Hz, 2 channels, s16, 189 kb/s | 4h 02mn | 460 MB
Instructors: Nikoloz Sanakoevi, Mikheil Chkheidze
Are you a Math, Computer Science or Computer Engineering student or maybe a professional who needs to succeed in Discrete Mathematics?
Discrete Mathematics for computer science: learn discrete math – number & graph theory, set theory, logic, proofs & more
What you’ll learn
Most comprehensive course on the market in Discrete Math
Fully understand the fundamentals of mathematical logic
Solve problems with propositions and quantifiers with mathematical logic
Build truth tables and understand basics of digital logic design
Learn to apply indirect, direct and other methods of proofs
Learn to check for divisibility as well as learn the method of Euclidean algorithm
Fully understand how equivalence, partial order and binary relations work
Learn about bijective and injective functions
Master the fundamentals of counting
Grasp the consepts of combinations and permutations and be able to use them to solve problems
Learn about Boolean Algebra and De Morgan’s Law
Learn about simple, complete and bipartite Graphs
Master other concepts and applications in graph theory such as trees, paths and circuits
Be fully prepared for the MATH 245 course in college
basic math operations
willingness to learn
Do you need to develop your mathematical skills and learn with practice?
Are you already studying Discrete Math Subject but need a better resource and online teacher to study and get better grades?
Do you need to increase your GPA but have little time to study?
This is a great place to learn Discrete Mathematics! Master Discrete Mathematics Today and Enroll Now!
In this course you will learn discrete mathematics and study mathematical logic, mathematical proofs, set theory, functions, relations, graph theory, number theory as well as combinations and permutations.
Each chapter of the course can be taken independently if required, and each chapter covers all of the listed topics in details so you will study everything that is necessary and in the order that most suits you as a student. As students usually come to this course for specific topic(s) and exercises, here is the comprehensive list of what you will learn from each chapter of this course:
Logic: Propositions, Connectives, Truth Tables, Logic Gates, Conditional and Biconditional Propositions, Rules of Inference, Predicates and Quantifiers
Proofs: Direct and Indirect Proofs, Proof by Induction and other Methods of Proof
Sets: Sets and Number Sets, Complement Sets, Cartesian Product, Operations, Boolean Algebra and De Morgan’s Law
Functions and relations: Ordered Pair, Dom, Range, Inverse Relations
Graphs: Simple and Complete Graph, Bipartite Graph, Paths and Circuits, Euler Circuit and Euler Path, Hamiltonian Circuit and Hamiltonian Path, Trees
Numbers: Divisibility and Division Algorithm, Euclidean Algorithm
Combinatorics: Combinations, Permutations, Fundamental Principle of Counting
Every lecture on these topics in discrete math is in high quality – 1080p and the powerpoint presentations are able. (you can use them when you will need and they can save you time by revisiting the learned material as well). All the concepts and definitions are explained in the videos and each topic is ending with a set of examples as well as a small theory quiz (optional). We will go through each step to solve the given examples in each lesson as well as practice them at the end of each of the 7 chapters. In case of difficulties, you can post a question and get help from the instructors! You will have everything to learn discrete mathematics!
This course will be useful to anyone studying discrete math and any related subject to discrete mathematics, such as linear algebra, calculus, economics, statistics, cryptography, finance, actuarial science, data structures, data science or algorithms. And if you are a computer science student and you were searching for mathematics for computer science than you will definitely need to go through this training! This is also a great start for computer and math related majors, because they usually require a solid knowledge in discrete math.
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