Module Descriptors
MATHEMATICS FOR TECHNICAL COMPUTING
COCS40715
Key Facts
Digital, Technology, Innovation and Business
Level 4
15 credits
Contact
Leader: Steven Sims
Email: Steven.Sims@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 52
Independent Study Hours: 98
Total Learning Hours: 150
Assessment
- TEST - MULTIPLE CHOICE weighted at 100%
Module Details
ADDITIONAL ASSESSMENT DETAILS
A test comprising a suite of three 45 minute multiple choice in-class tests assessing Learning Outcomes 1-3.
INDICATIVE CONTENT
Propositional Logic - The basics and operators, truth tables, equivalence, valid arguments.
Matrices - The basics and operators, inverse of 2 x 2 matrix, solving systems of linear equations, linear transformations in 2 dimensions.
Elements of Set Theory - The basics concept and operators, Venn diagrams, the concept of a function and inverse functions for simple polynomials.
Functions - an introduction to low order polynomial, logarithmic, exponential, and trigonometric functions. Solving simple equations involving these functions.
Introduction to Calculus - basic concepts including differentiation and integration of polynomial functions.
Probability - Rules of probability, Probability trees, Conditional Probability.
Descriptive Statistics - tabulating and charting data, averages, measures of spread.
Introduction to principles of computational modelling.
Matrices - The basics and operators, inverse of 2 x 2 matrix, solving systems of linear equations, linear transformations in 2 dimensions.
Elements of Set Theory - The basics concept and operators, Venn diagrams, the concept of a function and inverse functions for simple polynomials.
Functions - an introduction to low order polynomial, logarithmic, exponential, and trigonometric functions. Solving simple equations involving these functions.
Introduction to Calculus - basic concepts including differentiation and integration of polynomial functions.
Probability - Rules of probability, Probability trees, Conditional Probability.
Descriptive Statistics - tabulating and charting data, averages, measures of spread.
Introduction to principles of computational modelling.
TEXTS
For background reading only:
Math For Information Technology, Basta & DeLong, 2013, Delmar Cengage Learning, ISBN-13: 978-1111307929.
Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application Contexts, O¿Regan, 2012, Springer, ISBN-13: 978-1447145332.
Foundation Mathematics, Stroud & Booth, 2009, Palgrave Macmillan, ISBN-13: 978-0230579071.
Math For Information Technology, Basta & DeLong, 2013, Delmar Cengage Learning, ISBN-13: 978-1111307929.
Mathematics in Computing: An Accessible Guide to Historical, Foundational and Application Contexts, O¿Regan, 2012, Springer, ISBN-13: 978-1447145332.
Foundation Mathematics, Stroud & Booth, 2009, Palgrave Macmillan, ISBN-13: 978-0230579071.
LEARNING OUTCOMES
1) DEMONSTRATE A KNOWLEDGE OF FUNDAMENTAL AND STATISTICAL CONCEPTS AND PROCESSES APPLICABLE TO COMPUTING. (Knowledge and Understanding).
2) IDENTIFY APPROPRIATE METHODOLOGY FOR SOLVING QUANITATIVE PROBLEMS. (Analysis)
3) APPLY SUITABLE MATHEMATICAL OR STATISTICAL TECHNIQUES TO OBTAIN SOLUTIONS. (Application)
2) IDENTIFY APPROPRIATE METHODOLOGY FOR SOLVING QUANITATIVE PROBLEMS. (Analysis)
3) APPLY SUITABLE MATHEMATICAL OR STATISTICAL TECHNIQUES TO OBTAIN SOLUTIONS. (Application)
Module Learning Strategies
The module will be delivered via 26 hours of lectures and 26 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. Lectures and tutorials will alternate throughout the week so that confidence can be built up before lectures move on to the next topic.
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. Lectures and tutorials will alternate throughout the week so that confidence can be built up before lectures move on to the next topic.