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CSC-20067 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2024/25 Last Updated: 13 May 2024

CSC-20067 - Machine Learning
Coordinator: Allison Gardner Tel: +44 1782 7 33989
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25


Aims
To provide an introduction to the concepts of statistical data analysis and machine learning. The module provides in-depth training in the use of machine learning tool kits in Python to analyse real world data and to deliver valuable insight that can be used to provide business services.

Intended Learning Outcomes

explain the fundamental vocabulary and concepts in machine learning: 1
apply machine learning to data using packages such as Scikit-Learn: 1
develop a complete data science project workflow which demonstrates understanding of ethical design: 1
evaluate algorithmic decision-making for bias and explainability using performance metrics and fairness testing: 1

Study hours

20 hours of practical: 10 x 2 hour practical sessions
10 hours of online lectures
20 hours coursework preparation
100 hours independent learning

School Rules

None

Description of Module Assessment

1: Report weighted 100%
Structured report outlining planning, implementation and evaluation of a data science project
A 3000 word report of a data science project where learners are asked to develop a machine learning model to analyse and evaluate a data set. As part of the project the learners should design a workflow and demonstrate understanding and application of ethical design concepts throughout, including exploratory analysis and testing for bias and explainability.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/student-terms-and-conditions/

Last Updated: 13 May 2024