Mathematics for Computer Science
Goldsmiths University of London and University of London via Coursera
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Overview
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Mathematics for Computer Science course is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs. For this we prepared computing and everyday life problems for you to solve using these tools, from sending secret messages to designing computer graphics.
If you wish to take it further you can join the University of London's BSc Computer Science degree and complete the full module ‘Numerical Mathematics’.
Enjoy!
Syllabus
- Number bases
- In this topic, we will cover three key concepts: introduction to number bases, conversion of non-integer numbers and operations with binary numbers. You will learn about the notion of number bases and how to do arithmetic in different bases.
- Number bases - continued
- In this topic, we will cover three key concepts: introduction to number bases, conversion of non-integer numbers and operations with binary numbers. You will learn about the notion of number bases and how to do arithmetic in different bases.
- Sequences and series
- In this topic, we will cover the key concepts of sequences, series and the principle of mathematical induction. We will understand what a sequence is and look at its convergence and divergence. We will also introduce the concept of series.
- Sequences and series - continued
- In this topic, we will cover the key concepts of sequences, series and the principle of mathematical induction. We will understand what a sequence is and look at its convergence and divergence. We will also introduce the concept of series.
Taught by
Matthew Yee-King and Dr Sara Santos
Reviews
5.0 rating, based on 1 Class Central review
4.2 rating at Coursera based on 277 ratings
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