Discrete Mathematics A-Z: Math, Number & Graph Theory & more

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

Requirements

basic math operations
willingness to learn

Description

Are you a Math, Computer Science or Computer Engineering student or maybe a professional who needs to succeed in Discrete Mathematics?
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 downloadable. (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.

The instructors have both completed discrete mathematics in there computer engineering sophomore year and got the A+ (4.0) grade in discrete math which has lead to the idea of creating this training. We have seen how our university students in fields such as computer science, computer engineering and electrical engineering were struggling to study the material and worried about passing their exams. And if you are tired of learning everything on your own with university or from professors while going to the lectures everyday, you can now get these lessons for as little as two cups of coffee and this small investment will rapidly effect your life, career and especially your GPA! So make the right decision today and enroll now! Learn discrete Mathematics Today!

In addition, to this, you get 100% satisfaction or Money-Back Guarantee for 30 days so you have nothing to lose. The lessons can be watched on any device and at the end you are even getting a certificate for completion that you can put on your resume, linkedin, show your co-workers and/or classmates and professors.

After enrolling you will feel 100% confident and will master your skills in Discrete Math. You will have all necessary materials to revisit and videos with lifetime access that you can watch even on your phone, laptop or TV screen. You will solve the problems in discrete math step-by-step and even know all the theory and concepts that are necessary for your success in this subject. Feel free to look at the free materials that are provided to you on this page. All the powerpoint presentations are downloadable so that you will be able to simply skim through them in 20 minutes if you will need to repeat some material or prepare for your class.

Do you need to Master Discrete Mathematics?

Don't wait no more!

Who this course is for:

Math Majors
Computer Science Majors
People Interested in Mathematics
Students of Science Majors
People Interested in Studying Discrete Math
Students of Engineering Majors
Computer Engineering Majors
People pursuing Bachelor's degree
People pursuing Master's degree
Professions related to Computers
Professions related to Mathematics
Professions related to Engineering
People interested in backbone of Mathematics
People interested in backbone of Computer Science