This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.
Undergraduate Handbook 2023-2024 (archived)
Module MATH2637: MATHEMATICAL MODELLING II
Department: Mathematical Sciences
MATH2637: MATHEMATICAL MODELLING II
| Type | Level | Credits | Availability | Module Cap | Location |
|---|---|---|---|---|---|
| Open | 2 | 10 | Available in 2023/2024 | 94 | Durham |
Pre-requisites
- Calculus I (Maths Hons) (MATH1081) or Calculus 1 (MATH1061) AND Linear Algebra I (Maths Hons) (MATH1091) or Linear Algebra 1 (MATH1071) AND (Programming I (MATH1587) and Dynamics I (MATH1607) OR Discovery Skills in Physics (PHYS1011) OR Computational Thinking (COMP1051))
Corequisites
- None
Excluded Combinations
- None
Aims
- To develop skills in modelling the real world and the use of computers in solving such models numerically
Content
Learning Outcomes
Subject-specific Knowledge
- By the end of the module students will: be able to model a range of problems drawn from the physical world.
- Have acquired a range of programming skills in Python appropriate for solving a range of problems drawn from the physical world.
Subject-specific Skills
- In addition students will have the ability to undertake and defend the use of alternative mathematical skills in the following areas with minimal guidance: Modelling.
Key Skills
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
- Lectures introduce the basic concepts and provide general feedback.
- Practical sessions develop and practice programming skills, and provide active engagement and feedback to the learning process.
- Weekly clinics will be used to support the practicals and give student an opportunity to consolidate their learning.
- Formative and summative assessments guide students in the correct development of their knowledge and skills. They are also an aid in developing students' awareness of standards required.
- The two assessed Mini-Projects (one formative and one summative) will train students to write an extended report with precision and rigour of expression.
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total Hours | Attendance Monitored |
|---|---|---|---|---|---|
| Lectures | 10 | Weekly in Michaelmas | 1 Hour | 10 | Yes |
| Practical Classes | 10 | Weekly in Michaelmas | 2 Hours | 20 | Yes |
| Clinics | 10 | Weekly in Michaelmas | 2 Hour slot; expectation is just a few minutes per student | 0 | |
| Preparation, Reading, Homework | 50 | ||||
| Formative Mini-Project | 1 | 20 | |||
| Total | 100 |
Summative Assessment
| Component | Component Weighting | Element | Length/Duration | Element Weighting | Resit Opportunity |
|---|---|---|---|---|---|
| Mini-Project | 100% | Mini-Project Report 1 | 100% | Yes | |
| 0% |
Formative Assessment
Fortnightly or Weekly assignments. Formative Mini-Project.
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.