Undergraduate Programme and Module Handbook 2017-2018 (archived)
Module COMP4031: COMPUTING METHODOLOGIES IV
Department: Computer Science
COMP4031: COMPUTING METHODOLOGIES IV
| Type | Open | Level | 4 | Credits | 20 | Availability | Available in 2017/18 | Module Cap | Location | Durham |
|---|
Prerequisites
- Computing Methodologies III
Corequisites
- None
Excluded Combination of Modules
- None
Aims
- To introduce to the students the state-of-the-art in major areas of applied computing, giving them a knowledge of the current theoretical research, the emerging methodologies and the breaking technologies in these areas.
Content
- Themes will be from the following areas:
- Scientific Computing
- Interconnection networks for parallel computing
- Automated Reasoning
- Distributed Simulation
Learning Outcomes
Subject-specific Knowledge:
- On completion of this module, students will be able to demonstrate:
- an in-depth knowledge of the state-of-the-art in several methodologies of applied computing
- a critical awareness of the main open problems of current interest related to these methodologies
- a comprehensive understanding of the research issues that relate to these problems, including recent developments and research trends, breaking technologies and opportunities for industrial innovation.
Subject-specific Skills:
- On completion of this module, students will be able to demonstrate:
- an ability to conduct significant self-study and critically evaluate research issues in the covered areas of applied computing
- an ability to propose adaptions to computing methodologies to problems of current interest in the covered areas and evaluate their potential industrial implications.
Key Skills:
- On completion of this module, students will be able to demonstrate:
- an ability to read and understand technical papers
- an ability to propose original solutions to problems of current interest.
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures provide the students with a focus on the content described above.
- Supported by problem and paper reading classes where application of the theory and familiarisation with current research issues are enabled.
- A substantial summative assignment encourages and guides further independent study to be conducted.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| lectures | 44 | 2 per week | 1 hour | 44 | |
| problem classes | 11 | 1 per two weeks | 1 hour | 11 | ■ |
| preparation and reading | 145 | ||||
| Total | 200 |
Summative Assessment
| Component: Examination | Component Weighting: 50% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Examination | 2 hours | 100% | No |
| Component: Coursework | Component Weighting: 50% | ||
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Practical work | 100% | No | |
Formative Assessment:
Example formative exercises given during the course. Additional revision lectures may be arranged in the modules lecture slots in the 3rd term.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University