This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2012-2013 (archived)
Module COMP3371: COMPUTING METHODOLOGIES III
Department: Computer Science
COMP3371: COMPUTING METHODOLOGIES III
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 3 | 20 | Not available in 2012/2013 | None. | Durham |
Pre-requisites
- Software Applications
Corequisites
- None
Excluded Combinations
- None
Aims
- To familiarise the students with major areas of computing, giving them an in-depth knowledge of the underlying theory, the prevailing methodologies and key industrial applications.
Content
- Themes will be chosen from areas including the following:
- Advanced graphics.
- Visualisation.
- Advanced image processing.
- Haptics.
- Multimedia.
- Web services.
- Computer game engines.
- Computer game optimisation.
Learning Outcomes
Subject-specific Knowledge
- On completion of the module, students will be able to demonstrate:
- an in-depth knowledge of several areas of applied computing
- an understanding of the main problems arising in these areas and their solutions
- a knowledge and appreciation of some of the research related issues in these areas, including current practices, recent developments and further areas for possible exploration.
Subject-specific Skills
- On completion of the module, students will be able to demonstrate:
- an ability to conduct significant self-study and review research in the covered areas of applied computing
- an ability to critically evaluate how the subject knowledge could be used in industrial applications
- an ability to use complex software tools.
Key Skills
- On completion of the module, students will be able to demonstrate:
- an ability to solve problems
- an ability to learn independently
- an ability to communicate technical information.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures enable students to learn core material in the different subject areas.
- Problem classes enable students to apply the material learned in lectures and enhance their understanding.
- Formative and summative assignments encourage and guide independent study.
- Summative examinations test the knowledge acquired and the students' ability to use this knowledge to solve problems.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| lectures | 44 | 2 per week | 1 hour | 44 | |
| problem classes | 10 | 1 per two weeks | 1 hour | 10 | |
| preparation and reading | 146 | ||||
| Total | 200 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Examination | 66% | Examination | 2 hours | 100% | Yes |
| Coursework | 34% | Practical work | 100% | Yes |
Formative Assessment
Example formative exercises given during the course. Additional revison lectures may be arranged in the modules lecture slots in the 3rd term.
Students who do not attend monitored activities shown under Teaching Methods
and Learning Hours, or who fail to complete the summative or formative
assessment(s) specified above, may be subject to the Academic Progress
procedures defined in the University's General Regulation V, and may be
required to leave the University.