MS1S460 - Mathematical Tools for Computation 01 Sep 2022 - 31 Aug 2028 | Version 4
Associated Module Information
| Module Code: | MS1S460 | ||
|---|---|---|---|
| Module Title: | Mathematical Tools for Computation | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Computing and Mathematical Sciences | ||
| Faculty Sub Group: | Mathematical Sciences | ||
| Module Leader: | Graeme Boswell | ||
| Module Team: | Stephanie Perkins | ||
| First Intended Intake: | SEP 2016 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 4 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100403 - mathematics | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 4 |
|---|---|
| Valid From | 01 Sep 2022 |
| Valid To | 31 Aug 2028 |
Module Aims
To provide a knowledge of basic mathematical and statistical concepts in order to underpin the work of parallel and succeeding modules throughout the course.
To enable students to solve problems and appreciate differences in problem solving techniques.
To enable students to apply the theory to problems in computing and understand the limitations of the solutions found.
Content Summary
Algebraic Notation: Series; sigma notation, arithmetic and geometric progressions.
Logic: Propositions, inequalities and symbolic logic. Conjugation, disjunction, implication, compound propositions and truth tables.
Sets: basic concepts, set notation, power sets, set operations, basic laws, number sets.
Probability and Statistics: Presentation of data, measures of location and dispersion, cumulative frequency, inter-quartile range. Regression and correlation.
Introduction to probability theory and statistical distributions.
Geometry: Co-ordinate geometry of the straight line.
Definition of trigonometric ratios of angles. Sine and cosine rules.
Functions: Functions; definitions, linear functions, non-linear functions, graphs, solving equations.
Matrices and Vectors: Matrices and determinants; solution of linear equations. Vectors: Addition, scalar multiplication, scalar and vector products, application in 2 and 3 dimensions. Rotation, reflections and scaling in two dimensions.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 24 |
| Practical classes and workshops | 24 |
| Placement | 80 |
| Directed Study | 72 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Apply a range of mathematical and statistical problem solving techniques. |
| LO2 | Appropriately interpret a range of mathematical and statistical results. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Asynchronous Assessment | Practical Written Work 1 | A write up of a piece of practical work that has been undertaken | 0 | 3000 | 60 | No | 40 |
| Synchronous Onsite Assessment | Classroom Test - Time Constrained (Onsite) 1 | A written test (could be MCQ), administered within the timetabled teaching session, which is time constrained to not more than two hours, takes place under controlled conditions and is not invigilated | 60 | N/A | 40 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Written Work 1 | ✔ | ✔ | |
| Classroom Test - Time Constrained (Onsite) 1 | ✔ | ✔ | |