A core independent study module (ISM) that consolidates and applies the knowledge and skills acquired in the MSc in Artificial Intelligence programme. The ISM allows students to choose a specialist topic within the field of AI and complete a research or engineering project with under expert supervision.
allow students to contribute to the advancement of knowledge in the field of Artifical Intelligence.
provide a culmination of taught material, in a substantial ISM
support synthesis and application of material from the taught degree course
demonstrate an appreciation of engineering and/or scientific methods and techniques, through coverage, as appropriate, of requirements, specification, design, implementation and evaluation (an engineering "lifecycle") for an implementation-oriented project, or a scientific lifecycle (hypothesis generation, experimental design, implementation and evaluation etc.) for a more experimentally-oriented project, or other appropriate systematic and rigorous approach depending on the problem.
Module learning outcomes
Acquire specialisation in a particular part of the subject area, including enhanced or new technical skills that build on taught theory. Examined in the overall project report.
Conduct an investigation in an area that involves some element of novelty or originality, and critically evaluate the results of the work. Examined in the development and evaluation sections of the project report.
Carry out research, critically engaging with research literature, and identify a clearly articulated line of enquiry. Examined in the literature review and evaluation sections of the project report.
Contribute to an established area of research or development, demonstrating understanding of how established techniques of research and enquiry are used to create and interpret knowledge. Examined in the overall project report.
Recognise alternative approaches, selecting and justifying the approach taken at each point in the report, identifying parts of the project area that are feasible within the time constraints of the project. Analyse limitations of work undertaken, and identify potential directions for future study.
Prepare a written report on the work done, according to the defined criteria (supplied separately), aiming for a standard that would be acceptable for wider publication.
Account for and reflect on appropriate legal, ethical, social, professional and commercial issues involved in the project. Document this in the project report.
Express questions for investigation in the field of Artificial Intelligence in a clear and concise way, providing information about the key motivations for investigating those questions.
Module content
ISM
Indicative assessment
Task
% of module mark
Essay/coursework
100
Special assessment rules
Non-compensatable
Indicative reassessment
Task
% of module mark
Essay/coursework
100
Module feedback
Feedback on project draft (when submitted to supervisor in a timely manner).
Written feedback after written project report submitted.
Indicative reading
Dawson, C. W. (2015) Projects in Computing and Information Systems. 3rd edn. Addison-Wesley
Gowers, E. (2015) Plain Words. Penguin
Kopka, H. and Daly, P.W. (1999) A guide to LaTeX: Document Preparation for Beginners and Advanced Users, 3rd edn. Addison-Wesley
Zobel, J. (2015) Writing for Computer Science, 3rd edn. Springer