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Mathematics for Computer Science: Essential Skills

Offered By: University of Hull via FutureLearn

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Computer Science Courses Mathematics Courses Algebra Courses Set Theory Courses Vectors Courses Matrices Courses

Course Description

Overview

Gain confidence in mathematics to kickstart your career in computer science

If you are approaching or considering degree-level study in computer science, you may wish to strengthen your understanding of key mathematical techniques.

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.

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.


Syllabus

  • Week 1 Venn Diagrams & Set Theory
    • Introduction to the course
    • Introduction to Venn Diagrams & Set Theory
    • Set theory and Venn diagrams
    • Summary
  • Week 2 Algebra Techniques
    • Introduction to the week
    • Introduction to algebra
    • Simultaneous linear equations
    • Quadratic equations
  • Week 3 Vectors & Matrices
    • Introduction
    • Working with vectors
    • Matrices
    • Inverting matrices
    • Quiz

Taught by

Laura Broddle

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