Study information

Computational Modelling - 2024 entry

MODULE TITLEComputational Modelling CREDIT VALUE15
MODULE CODEMTHM008 MODULE CONVENERUnknown
DURATION: TERM 1 2 3
DURATION: WEEKS 11
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 Guided Independent Study 117 Placement / Study Abroad 0
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 8th February 2019 LAST REVISION DATE Tuesday 26th March 2024
KEY WORDS SEARCH Modelling; Simulation; Programming

Please note that all modules are subject to change, please get in touch if you have any questions about this module.