Discrete Structures (saylor.org)

Offered by Saylor.org,
Discrete Structures (saylor.org)

This course has been designed to provide you with a clear, accessible introduction to discrete mathematics. Discrete mathematics describes processes that consist of a sequence of individual steps (as compared to calculus, which describes processes that change in a continuous manner). The principal topics presented in this course are logic and proof, induction and recursion, discrete probability, and finite state machines.

This course has been designed to provide you with a clear, accessible introduction to discrete mathematics. Discrete mathematics describes processes that consist of a sequence of individual steps (as compared to calculus, which describes processes that change in a continuous manner). The principal topics presented in this course are logic and proof, induction and recursion, discrete probability, and finite state machines.

As you progress through the units of this course, you will develop the mathematical foundations necessary for more specialized subjects in Computer Science, including data structures, algorithms, and compiler design. Upon completion of this course, you will have the mathematical know-how required for an in-depth study of the science and technology of the computer age.

Upon successful completion of this course, the student will be able to:

Create compound statements, expressed in mathematical symbols or in English, to determine the truth or falseness of compound statements and to use the rules of inference to prove a conclusion statement from hypothesis statements by applying the rules of propositional and predicate calculus logic.
Prove mathematical statements involving numbers by applying various proof methods, which are based on the rules of inference from logic.
Prove the validity of sequences and series and the correctness or repeated processes by applying mathematical induction.
Define and identify the terms, rules, and properties of set theory and use these as tools to support problem solving and reasoning in applications of logic, functions, number theory, sequences, counting, probability, trees and graphs, and automata.
Calculate probabilities and apply counting rules.
Solve recursive problems by applying knowledge of recursive sequences.
Create graphs and trees to represent and help prove or disprove statements, make decisions or select from alternative choices to calculate probabilities, to document derivation steps, or to solve problems.
Construct and analyze finite state automata, formal languages, and regular expressions.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Computer Architecture (saylor.org) Saylor Academy
Saylor.org

Computer Architecture (saylor.org)

Modern computer technology requires an understanding of both hardware and software, as the interaction between the two offers a framework for mastering the fundamentals of computing. The purpose of this course is to cultivate an understanding of modern computing technology through an in-depth study of the interface between hardware and software.

Self Paced
Self-Paced
Python Programming Essentials (Coursera) Coursera
Rice University

Python Programming Essentials (Coursera)

This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs.

Jun 1st 2026
4 Weeks
An Introduction to Logic for Computer Science (Coursera) Coursera
University of Leeds

An Introduction to Logic for Computer Science (Coursera)

Logic plays a fundamental role in computer science. This course is designed to equip you with a solid understanding of the fundamental principles of logic and their relevance in the field of computer science. In this course, you'll explore proposition logic and discover its practical applications in problem-solving, algorithm design, and the development of intelligent systems. By engaging in hands-on exercises, exploring real-world examples, and participating in discussions, you'll develop strong logical reasoning and critical thinking skills.

Jun 1st 2026
2 Weeks
Intermediate Algebra (saylor.org) Saylor Academy
Saylor.org

Intermediate Algebra (saylor.org)

This course is a continuation of "Beginning Algebra". Algebra allows us to formulate real-world problems in an abstract mathematical term or equation. These equations can then be solved by using techniques you will learn in this course.

Legacy Course
Self-Paced
Solving the Sudoku Puzzle (Skillshare) Skillshare
Skillshare

Solving the Sudoku Puzzle (Skillshare)

Often look at the Sudoku and wonder how to solve it? Tried several other videos but can’t still can’t seem to crack it? This is one and only video you will need. It is all about logic, not about luck! In this class you’ll learn techniques to solve a medium difficulty Sudoku puzzle. Even if you’re new to logic puzzles, you’ll find these simple and effective techniques easy to use and apply to your work!

Self Paced
Self-Paced
Logic: The Language of Truth (FutureLearn) FutureLearn
University of York

Logic: The Language of Truth (FutureLearn)

Learn how to use logic to evaluate arguments and discover more about philosophical concepts like truth-tables and logical form. Understand and evaluate arguments using philosophical theory. If you believe Mickey is a big mouse and Dumbo is a small elephant, then you must also believe that Mickey is a mouse and Dumbo is an elephant. But, do you believe that Mickey is bigger than Dumbo? On this course, you’ll consider the logic behind this argument and explore the concept that when something is true, other things have to be true too.

May 30th 2022
4 Weeks
Understanding Maths and Logic in Computer Science (FutureLearn) FutureLearn
Raspberry Pi Foundation

Understanding Maths and Logic in Computer Science (FutureLearn)

Improve your understanding and ability to teach maths and logic in computing while building elements of an escape room. Become more familiar with maths and logic in computer science. The mathematical aspects of computer science can be difficult to understand and teach. On this course, you will be introduced to maths and logic in computing in an engaging way.

Nov 1st 2021
3 Weeks
Introduction to Logic (Coursera) Coursera
Stanford University

Introduction to Logic (Coursera)

This course is an introduction to Logic from a computational perspective. It shows how to encode information in the form of logical sentences; it shows how to reason with information in this form; and it provides an overview of logic technology and its applications - in mathematics, science, engineering, business, law, and so forth.

Mar 23rd 2026
5-12 Weeks