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Fundamental Concepts of Mathematics for Computer Science

Definitions & Proofs, Sets & Functions, Relations Discrete Structures, Graphs Theory, Counting principles.

Fundamental Concepts of Mathematics for Computer Science is a beginner-level online course from Udemy in Mathematics. It is structured in 2 modules with 7 stated learning outcomes. It is free to enrol, and a certificate is available on completion. 47 learners have enrolled on Udemy.

Part of our Mathematics courses collection, where we compare it against 5 other courses.

47 learners English

Course highlights

Provider Udemy
Level Beginner
Mode Self-paced
Language English
Certificate Yes — shareable certificate
Learners 47
Price Free Free

What you’ll learn

Doing the problem sets is for most students, the best way to master the course material. Problem sets will count for up to 30% of the final grade.
Use logical notation to define and reason about fundamental mathematical concepts such as sets, relations, functions, and integers.
Fundamental Concepts of Mathematics: Definitions, Proofs, Sets, Functions, Relations, Discrete Structures, Modular Arithmetic, Graphs, State machines, Counting
Discrete Mathematics principles of discrete probability to calculate probabilities and expectations of simple random processes.
Mathematically about basic data types and structures (such as numbers, sets, graphs, and trees) used in computer algorithms and systems).
Apply graph theory models of data structures and state machines to solve discrete math of connectivity and constraint satisfaction, for example, scheduling.
Evaluate elementary mathematical arguments and identify fallacious reasoning (not just fallacious conclusions).

Level and time commitment

Udemy lists this course at Beginner level.
No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

2 modules

The 2-part outline Udemy publishes for this course.

Module 1 · Lecture 1 through 6
Module 2 · Lectures 7 through 10
How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course Provider Rating Price Duration Why pick this one
Fundamental Concepts of Mathematics for Computer Science This Udemy 0.0★ Free Free — and still gives a certificate
Mathematics for Engineers Coursera 4.8★ Check price 3 months Highest rated (4.8★ from 7.8K reviews)
Fundamentals of Audio and Music Engineering: Part 1 Musical Sound & Electronics Coursera 4.6★ Check price PT14H17M57.418S Beginner-friendly · PT14H17M57.418S
Introduction to Discrete Mathematics for Computer Science Coursera 4.5★ Check price 3 months Beginner-friendly · 3 months
See all Mathematics courses →

Where Mathematics leads

Roles we map to Mathematics on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.

Teacher

Browse every course we track for one of these — courses for teachers.

Common questions

Is Fundamental Concepts of Mathematics for Computer Science free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Fundamental Concepts of Mathematics for Computer Science come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Fundamental Concepts of Mathematics for Computer Science suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Fundamental Concepts of Mathematics for Computer Science cover?

It is organised into 2 modules, starting with Lecture 1 through 6 and going on to Lectures 7 through 10. The full outline is on this page.