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This course from the University of Hull is designed to refresh or equip you with knowledge of the foundational concepts of mathematics for computer science
It assumes no prior mathematical knowledge, so provides a gentle introduction to potentially daunting mathematical skills. Irrespective of academic background or prior attainment, this mathematics bridging course can help you realise your ambition of studying computer science.
Gain confidence in foundational mathematics for computer science
This course will cover some of the key mathematical concepts needed for computer science.
Topics covered include drawing and interpreting Venn diagrams of set relations and operations, algebra techniques, using set theory notation to find subsets and complements, and more.
Equipped with these skills, you’ll be capable of approaching your degree or equivalent study in computer science with assurance.
Syllabus
Week 1: Venn Diagrams & Set Theory
Week 2: Algebra Techniques
Week 3: Vectors & Matrices
Learning on this course
You can take this self-guided course and learn at your own pace. On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Produce and interpret Venn diagrams of set relations and operations, using them to solve problems. Also use set theory notation and be able to find subsets and complements, define elements and find results of intersections or unions.
- Solve linear, quadratic and simultaneous equations and inequalities using a variety of algebra techniques.
- Explore addition and subtraction of vectors, multiplication by a scalar and find the magnitude and direction of a vector. Perform the matrix operations of addition, multiplication and transposition and find the inverse of a given matrix if it exists.
Who is the course for?
This course is aimed at learners starting or considering studying computer science at degree level, who want to build confidence in key mathematical concepts.
It assumes no prior mathematical knowledge, so is suitable for learners of all backgrounds and previous educational attainment.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.
