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School of Engineering and Informatics (for staff and students)

Topics in Computer Science (948G5)

Topics in Computer Science

Module 948G5

Module details for 2021/22.

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 Sussex'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.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
ReportA1 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.

TermMethodDurationWeek pattern
Autumn SemesterLecture2 hours11111111111

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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School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÅÝܽ¶ÌÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
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