CSC-20075 - Fundamentals of Data Science
Coordinator: Charles Day Room: CR110 Tel: +44 1782 7 33411
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2025/26

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

CSC-10070 Introduction to Programming

Barred Combinations

None

Description for 2025/26

The module will introduce a set of techniques for pre-processing and processing of raw data. Students will be able to discuss the relative merits of techniques falling under the same category and be able to select the most appropriate. The module will also touch on the important issues of ethics and security related with the acquisition, storing, processing and dissemination of data and information.

Aims
This module analyses the processes and techniques used to extract information from raw data. The module will also introduce the concepts of ethics and security in relation to collecting, storing and disseminating data and information.

Intended Learning Outcomes

explain the ethical implications of collecting and storing data: 1
evaluate different techniques for processing data in order to identify the best one for the intended purpose: 1
demonstrate appropriate use of data mining, machine learning and AI techniques used for extracting information from data: 1

Study hours

Lectures: 22h
Practical classes: 11h
Revision of lecture materials: 44h
Preparation and revision of practical classes materials: 33h
Working on coursework assessment: 40h

School Rules

None

Description of Module Assessment

1: Coursework weighted 100%
Coursework