AM0S04 - Further Foundation Maths for Engineers 01 Sep 2023 - 31 Aug 2028 | Version 4
Associated Module Information
| Module Code: | AM0S04 | ||
|---|---|---|---|
| Module Title: | Further Foundation Maths for Engineers | ||
| 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, Joseph Crago, Hannah Seale, Adam Jones, Robert Warren, Robert Whittey, Sarah Moses | ||
| First Intended Intake: | SEP 2018 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 3 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 101028 - engineering and industrial mathematics | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 4 |
|---|---|
| Valid From | 01 Sep 2023 |
| Valid To | 31 Aug 2028 |
Module Aims
To provide students with confidence in applying basic calculus and statistical methods.
To provide students with examples of applications of calculus or statistics in mathematics relevant to Engineering
Content Summary
Rates of change - gradient of curve as gradient of tangent by successive approximation, derivative as a limiting process.
Basic Differentiation - differentiation of powers of x and polynomials, differentiation of exponential, logarithmic and trigonometric functions, differentiation of products, quotients and composite functions.
Advanced differentiation - higher order derivatives, maxima and minima.
Applications of differentiation
Basic integration - integration as the reverse of differentiation, integration of polynomial, exponential, logarithmic and trigonometric functions.
Advanced integration - simple integration by parts, evaluation of definite integrals and application to areas under curves.
Applications of integration.
Basic statistics - introduction to statistics, descriptive statistics and data presentation, basic statistical analysis of data.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 24 |
| Tutorial | 24 |
| Independent Study | 72 |
| Directed Study | 80 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | To apply a range of basic calculus or statistical techniques, and interpret the solutions appropriately. |
| LO2 | To understand the basic calculus or statistics behind applications in engineering and to be able to identify and perform relevant mathematical techniques appropriately. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Onsite Assessment | Classroom Test - Time Constrained (Onsite) 2 | Course formula book only, can be annotated as they see fit. | 60 | N/A | 50 | No | 40 |
| Synchronous Onsite Assessment | Classroom Test - Time Constrained (Onsite) 1 | Course formula book only, can be annotated as they see fit. | 60 | N/A | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Classroom Test - Time Constrained (Onsite) 2 | ✔ | ✔ | |
| Classroom Test - Time Constrained (Onsite) 1 | ✔ | ✔ | |