CSC-30051 - Artificial Intelligence for Data Science
Coordinator: Nadia Kanwal Room: CR038
Lecture Time: See Timetable...
Level: Level 6
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

CSC-20067

Barred Combinations

None

Description for 2024/25


Aims
This module builds on CSC-20067 Machine Learning and provides learners with more advanced knowledge and skills in the applications of machine learning and artificial intelligence as applied to Data Science.

Intended Learning Outcomes

Evaluate machine learning and artifical intelligence techniques relevant to data science: 1
Demonstrate the use of artificial intelligence and machine learning techniques to solve a data science problem: 1
Use, and record in the coursework report, the ethics-by-design methodologies to provide a hypothesis-driven data science solution: 1
Debate the role of explainable AI (XAI) methods and techniques in their provision of Data Science and AI solutions that can be understood by humans: 1

Study hours

8 hours practical classes (supported online and in block release)
6 hours of tutorials (supported online and in block release)
20 hours online lectures
116 hours private study

School Rules

None

Description of Module Assessment

1: Coursework weighted 100%
Coursework
A technical report based on an AI-related task. The technical report is the equivalent to 2500-3000 words. Formatting guidance will be provided.