Programme/Approved Electives for 2022/23
None
Available as a Free Standing Elective
No
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: 1Demonstrate the use of artificial intelligence and machine learning techniques to solve a data science problem: 1Use, and record in the coursework report, the ethics-by-design methodologies to provide a hypothesis-driven data science solution: 1
8 hours practical classes (supported online and in block release)6 hours of tutorials (supported online and in block release)20 hours online lectures116 hours private study
Description of Module Assessment
1: Coursework weighted 100%CourseworkA technical report based on an AI-related task. The technical report is the equivalent to 2500-3000 words. Formatting guidance will be provided.