Topics in Computer Science (948G5)
Topics in Computer Science
Module 948G5
Module details for 2022/23.
15 credits
FHEQ Level 7 (Masters)
Module Outline
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 the 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 familiarize students with ßÏßÏÊÓƵ's systems.
Library
From CS journals and conferences, highlighting key papers and recent findings.
Module learning outcomes
Describe a range of issues in computer science and research methods appropriate to their study.
Through self-directed research investigate and describe in more detail one of these areas, proposing research questions for further investigation and suitable methods for this investigation.
Be aware of and able to follow normal professional practice in computer science.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | A1 Week 2 | 100.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Lecture | 2 hours | 11111111111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Naercio Magaia
Assess convenor
/profiles/434634
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