COMPGI09 - Applied Machine Learning

Note: Whilst every effort is made to keep the syllabus and assessment records correct, the precise details must be checked with the lecturer(s).

Code
COMPGI09
Year
MSc
Prerequisites
This course is for students following the MSc in Intelligent Systems programme who have completed or are completing the usual core and optional courses.
Term
2
Taught By
David Barber (100%)
Aims
The aim of this course is to provide an external viewpoint on the business applications of Intelligent Systems within the areas covered by the MSc in IS. The course should stimulate a questioning and inquisitive approach to the field. We expect the material covered to be topical and informative and presented in such a way as to encourage discussion.
Learning Outcomes
The ability to: assess the effectiveness of solutions presented and to question them in an intelligent way; synthesise solutions to general open-ended problems covering material from the whole programme, tempered with information on commercial reality obtained from this course.

Content:

The syllabus is dependant on speakers, and is planned to complement issues that have been addressed in the remaining taught courses.

Method of Instruction:

Lecture presentations with associated class problems.

Assessment:

The course has the following assessment components:

  • Written Examination (2.5 hours, 70%)
  • Coursework Section (1 piece, 30%)

To pass this course, students must:

  • Obtain an overall pass mark of 50% for all sections combined

The examination rubric is:
Answer THREE questions out of FIVE. All questions carry equal marks

Resources:

To be notified as the course progresses, according to the business themes covered.