Mathematics

MTHM008 - Computational Modelling (2019)

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MODULE TITLEComputational Modelling CREDIT VALUE15
MODULE CODEMTHM008 MODULE CONVENERDr Barrie Cooper (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, languages 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 relevant programming languages, 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 selection of programming languages e.g. Matlab, 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
All Above As Above All August Ref/Def Period

 

RE-ASSESSMENT NOTES

If a module is normally assessed entirely by coursework, all referred/deferred assessments will normally be by assignment.

If a module is normally assessed by examination or examination plus coursework, referred and deferred assessment will normally be by examination. For referrals, only the examination will count, a mark of 50% being awarded if the examination is passed. For deferrals, candidates will be awarded the higher of the deferred examination mark or the deferred examination mark combined with the original coursework mark.

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

ELEhttps://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 Wednesday 07 August 2019
KEY WORDS SEARCH Modelling; Simulation; Programming