Modules | Engineering, Mathematics and Physical Sciences Intranet

MODULE TITLE	Computational Modelling	CREDIT VALUE	15
MODULE CODE	MTHM008	MODULE CONVENER	Dr Jemma Shipton (Coordinator)

DURATION: TERM	1	2	3
DURATION: WEEKS	11 weeks	0	0

Number of Students Taking Module (anticipated)	20

DESCRIPTION - summary of the module content

Modern applications of mathematics often require the development and analysis of computer simulations. This module is an introduction to relevant programming principles and computational techniques essential to the skillset of an applied mathematician. Theory will be complemented by practical programming labs and case studies in topics related to our research expertise, such as Climate Science, Geophysical and Astrophysical Fluid Dynamics, and Mathematical Biology. A key outcome from this module is to give you the skills to design and analyse your own computational models, and the flexibility to be comfortable working in different programming environments.

AIMS - intentions of the module

This module aims to introduce students to modern progamming techniques for mathematical modelling. This will include practical knowledge in a relevant programming language, the use of version control, and remote scripting for long-run simulations.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

On successful completion of this module, you should be able to:

Module Specific Skills and Knowledge:

1 Demonstrate expertise in the use of relevant programming languages and techniques widely used both inside and outside the academic community;

2 Use your programming skills to model challenging mathematical problems;

Discipline Specific Skills and Knowledge:

3 Tackle a wide range of mathematical problems using modern numerical methods;

4 Model realistic situations and also understand the principles underlying the techniques and when they are applicable;

Personal and Key Transferable/ Employment Skills and Knowledge:

5 Show enhanced modelling, problem-solving and computing skills, and acquired tools that are widely used in mathematical modelling.

SYLLABUS PLAN - summary of the structure and academic content of the module

- Introduction to a programming language e.g. such as Matlab or Python, Fortran;
- Key skills for programmers, including version control, documenting code, and running simulations remotely;
- Principles of mathematical modelling and numerical methods;
- Case studies

LEARNING AND TEACHING

LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)

Scheduled Learning & Teaching Activities	33.00	Guided Independent Study	117.00	Placement / Study Abroad	0.00

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

3 hours weekly in a computer lab.

ASSESSMENT

FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

Form of Assessment	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
In-Class Assignments	Variable	All	Verbal

SUMMATIVE ASSESSMENT (% of credit)

Coursework	100	Written Exams	0	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of Credit	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Case Study 1	30	45 hours (including class time)	All	Written Feedback
Case Study 2	30	45 hours (including class time)	All	Written Feedback
Case Study 3	40	60 hours (including class time)	All	Written Feedback

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)

Original Form of Assessment	Form of Re-assessment	ILOs Re-assessed	Time Scale for Re-reassessment
Case Study 1 *	Case Study 1	All	August Ref/Def Period
Case Study 2 *	Case Study 2	All	August Ref/Def Period
Case Study 3 *	Case Study 3	All	August Ref/Def Period

*Please refer to reassessment notes for details on deferral vs. Referral reassessment

RE-ASSESSMENT NOTES

Deferrals: Reassessment will be by coursework in the deferred element only. For deferred candidates, the module mark will be uncapped.

Referrals: Reassessment will be by a single synthesis report worth 100% of the module only. As it is a referral, the mark will be capped at 50%.

RESOURCES

INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

ELE - https://vle.exeter.ac.uk

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE	15	ECTS VALUE	7.5

PRE-REQUISITE MODULES	None
CO-REQUISITE MODULES	None

NQF LEVEL (FHEQ)	7	AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Friday 08 February 2019	LAST REVISION DATE	Thursday 26 January 2023

KEY WORDS SEARCH	Modelling; Simulation; Programming

MTHM008 - Computational Modelling (2023)