Topics in Computer Science (948G5)

15 credits, Level 7 (Masters)

Autumn teaching

An introduction to some key ideas in various areas in computer science, with particular reference to research in Informatics. Discussion of appropriate research methods will arise from this, including literature search, survey and prcis; use of proofs, simulation, experiments, user studies and discussion; presentation of results with appropriate statistical measures and analysis of variables, controls. Assessment will be via a literature review and research proposal which will discuss a relevant research question for the programme, a proposed approach for investigating it and the most suitable form for the answers to take - noting any comparison with prior work. The literature review and research proposal may form an input to your dissertation, but there is no obligation in this respect.
The module will start with some generic research methods and course guidance; and a diagnostic programming exercise to assess ability (and refer students who may benefit to additional programming help) and familiarise you with Sussex's systems.

Teaching and assessment

We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.

Contact hours and workload

This module is approximately 150 hours of work. This breaks down into about 24 hours of contact time and about 126 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.

This module is running in the academic year 2021/22. We also plan to offer it in future academic years. However, we are constantly looking to improve and enhance our courses. There may be changes to modules in response to student demand or feedback, changes to staff expertise or updates to our curriculum. We may also need to make changes in response to COVID-19. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.


This module is offered on the following courses: