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COMP3537: CONTEMPORARY COMPUTER SCIENCE III

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Type	Open
Level	3
Credits	10
Availability	Not available in 2024/2025
Module Cap	None.
Location	Durham
Department	Computer Science

Prerequisites

At least two level 2 Computer Science modules including COMP2221 Programming Paradigms

Corequisites

Excluded Combinations of Modules

Aims

To introduce students to advanced topics in Computer Science that are finding application in modern technology.
To introduce students to novel topics in Computer Science that have significant potential to impact upon future applications of Computer Science.
To study two topics on contemporary aspects of Computer Science.

Content

Topics will be selected that are currently provoking widespread interest as regards applications (current and potential) or research and development. Such topics include:
GPU computing.
Quantum computation.
Algorithmic issues of the World Wide Web.
Bioinformatics.
Data mining.
Multi-agent systems.
Computer Aided Geometric Design.
Photorealistic and physically accurate computer graphics.
Visualising complexity and uncertainty.
Empirical experiment design for computing.
Novel high performance computing architectures and systems.
Security
Network analysis

Learning Outcomes

Subject-specific Knowledge:

On completion of the module, students will be able to demonstrate:
an understanding of how Computer Science impacts on emerging areas in Science and Technology
an in-depth knowledge of different paradigms and techniques from two areas of contemporary Computer Science

Subject-specific Skills:

On completion of the module, students will be able to demonstrate:
that significant self-study has been undertaken and research reviewed in each of the two topic areas
an ability to independently evaluate research issues related to the two topic areas including current practices, recent developments and further areas of possible exploration
an ability to implement key algorithms within the topic areas

Key Skills:

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

Lectures enable the students to learn new material relevant to novel directions in and applications of Computer Science.
Students are assessed by formative and summative assessment and examinations.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total
lectures	20	2 per week	1 hour	20
preparation and reading				80
Total				100

Summative Assessment

Component: Coursework		Component Weighting: 100%
Element	Length / Duration	Element Weighting	Resit Opportunity
Summative assessment		100	No

Formative Assessment

Example formative exercises are given during the course.

More information

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