MS4H02 - Programming for Data Analysis 04 Dec 2020 - 31 Aug 2026 | Version 1
Associated Module Information
| Module Code: | MS4H02 | ||
|---|---|---|---|
| Module Title: | Programming for Data Analysis | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Computing and Mathematics | ||
| Faculty Sub Group: | Maths | ||
| Module Leader: | Ieuan Griffiths | ||
| Module Team: | Stephanie Perkins, Rebecca Peters | ||
| First Intended Intake: | JAN 2025 | Final Year of Intake: | 2025 |
| Date Closed: | |||
| Credit Value: | 10 | Credit Level: | 7 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100992 - machine learning | 101034 - statistical modelling | |
| HECOS Code Weighting: | 75 | 25 | |
Document Version Information
| Version | 1 |
|---|---|
| Valid From | 04 Dec 2020 |
| Valid To | 31 Aug 2026 |
Module Aims
To introduce the fundamentals of programming and data manipulation tasks utilising a relevant Data/AI programming language.
Content Summary
This module aims to enhance the fundamental computer programming skills required to understand, interpret, research, and manage complex data. In particular, for graduates to apply appropriate techniques utilising a variety of industry focused programming languages to produce solutions to business problems.
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 8 |
| Seminar | 8 |
| Tutorial | 8 |
| Independent Study | 40 |
| Directed Study | 36 |
| Total Hours Selected | 100 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | Be able to design, analyse and implement data manipulation tasks. |
| LO2 | Be able to use relevant packages and tools efficiently and effectively. |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Practical Assessment (CW) | Practical Coursework 1 | Design, produce and test a computer program to interrogate a data set | 0 | N/A | 100 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Coursework 1 | ✔ | ✔ | |