Module Descriptors
MATHEMATICS AND STATISTICS FOR COMPUTING STUDENTS
MATH40247
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Sarah Easton
Hours of Study
Scheduled Learning and Teaching Activities: 48
Independent Study Hours: 102
Total Learning Hours: 150
Assessment
  • COURSEWORK weighted at 100%
Module Details
Module Learning Strategies
The module will be delivered via 24 hours of lectures and 24 hours of tutorials.
There will be two one-hour lectures given to the entire group each week. Students will also receive two one-hour tutorials each week. The core material will be presented during the lectures and the tutorials will give students the opportunity to gain confidence and experience through practice on suitable examples. (1:n)2 (1:20)2


Module Indicative Content
Elements of Set Theory. The Concept of a Function. The Elementary Functions (polynomials, log, exp & sin, cosine functions)
Matrix Algebra. Propositional Logic
Introduction to Differential Calculus. Introduction to Integration
Discrete Probability (Rules of probability, Probability trees, Conditional Probability)
Descriptive Statistics
Module Additional Assessment Details
100% coursework comprising a suite of 3 to 4 multiple choice in-class tests each no longer than 50 minutes assessing Learning Outcomes 1-4.
Module Texts
Background Reading
Foundation Maths, A. Croft and R. Davidson, Prentice Hall (2006), ISBN: 0131979213
Discrete Mathematics for Computer Scientists, J. Truss, Addison-Wesley 1999, ISBN: 0201360616
Maths for Computing and Information Technology (Essential Maths for Students), F Giannasi and R Low, Prentice Hall, 1995, ISBN: 0582236541
Module Special Admissions Requirements
Disqualified combination with CE00819-4 Mathematics for Interactive Computing.
Module Resources
PC's
Library