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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2019/2020

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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: MIGS: Mathematical Modelling and Applied Analysis (MATH11221)

Course Outline
SchoolSchool of Mathematics CollegeCollege of Science and Engineering
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityNot available to visiting students
SCQF Credits15 ECTS Credits7.5
SummaryA course providing emphasis on the mathematical foundations of modelling. It will include methods in analysis applied to ODEs, PDEs and SDEs with application to model reduction, inverse problems, data assimilation, etc.
Course description Mainly in the first two semesters, opportunities to attend generic skills training will be made available to you and you are encouraged to make the most of this. It may also be possible to arrange specific training to meet a demand if several students are interested in a specific area.

Semester 1
The SMSTC Symposium in Perth includes workshops on tutoring, marking and how to get a PhD.
Computer Tools & Skills I & II micro project report, and write summary of talk in MAC-MIGS Colloquium.
Presentation skills

Semester 2
Maths Modelling Camp.
Short presentation at MAC-MIGS Residential Symposium.

All Year
Gain experience of writing LaTeX in SMSTC assignments. Store in Training Log.

We expect students to attend general mathematical activities such as seminars, discussions, colloquia and EMS meetings where possible, provided they do not clash with taught courses and other 1st Year MAC-MIGS programme activities.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Course Delivery Information
Academic year 2019/20, Not available to visiting students (SS1) Quota:  None
Course Start Semester 2
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 150 ( Lecture Hours 20, Programme Level Learning and Teaching Hours 3, Directed Learning and Independent Learning Hours 127 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 100% coursework
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. To master main principles of mathematical modelling
  2. Gain tools and techniques to analyse a wide range of mathematical models
  3. To be able to parametrise mathematical models using experimental data
Reading List
None
Additional Information
Graduate Attributes and Skills Not entered
Special Arrangements This course is only open to students on CDT programmes in the Maxwell Institute Graduate School.
KeywordsMIGS;CDT
Contacts
Course organiserProf Benedict Leimkuhler
Tel:
Email: B.Leimkuhler@ed.ac.uk
Course secretaryMrs Katy Cameron
Tel: (0131 6)50 4899
Email: Katy.Cameron@ed.ac.uk
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