This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Postgraduate Handbook 2021-2022 (archived)
Module COMP52215: Continuous and Discrete Systems
Department: Computer Science
COMP52215: Continuous and Discrete Systems
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Tied | 5 | 15 | Available in 2021/2022 | None. | Durham |
Tied To
Pre-requisites
- Core Ib
Corequisites
- n/a
Excluded Combinations
- n/a
Aims
- Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of continuous systems (partial differential equations)
- Provide advanced knowledge and critical understanding of paradigms, fundamental ideas, algorithms and methods behind the modelling and simulation of discrete systems
Content
- Continuous Systems
- Discrete Systems
Learning Outcomes
Subject-specific Knowledge
- Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study discrete models
- Understanding and critical reflection of advanced ideas, numerical techniques and algorithms used to study continuous models
Subject-specific Skills
- Basic familiarity with state-of-the-art algorithms to solve large-scale and data intense challenges
- Competence to translate continuous and discrete problem descriptions into algorithmic formulations; competent and educated selection of appropriate solution algorithms
Key Skills
- Familiarity with advanced paradigms and modern algorithms underlying scientific computing both for discrete and continuous systems
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Teaching will be by lectures and workshops.
- The lectures provide the means to give a concise, focused presentation of the subject matter of the module.
- When appropriate, the lectures will also be supported by the distribution of written material, or by information and relevant links on DUO.
- Regular problem exercises and workshops will give students the chance to develop their theoretical understanding and problem solving skills.
- Students will be able to obtain further help in their studies by approaching their lecturers, either after lectures or at other mutually convenient times.
- Student performance will be summatively assessed through coursework.
- The formative coursework provides opportunities for feedback, for students to gauge their progress and for staff to monitor progress throughout the duration of the module.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Lectures for Continuous Systems | 12 | 2 per week | 60 minutes | 12 | |
| Practical Classes for Continuous Systems | 4 | 2 per week | 60 minutes | 4 | |
| Lectures for Discrete Systems | 12 | 2 per week | 60 minutes | 12 | |
| Practical Classes for Discrete Systems | 4 | 2 per week | 60 minutes | 4 | |
| Self Study | 118 | ||||
| Total | 150 | ||||
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Summative Coursework | 100% | Discrete Systems Coursework | 1 week | 50% | |
| Continuous Systems Coursework | 1 week | 50% |
Formative Assessment
n/a
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.