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DRPS : Course Catalogue : School of Mathematics : Mathematics

Postgraduate Course: Research Skills for Computational Applied Mathematics (MATH11197)

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 Credits20 ECTS Credits10
SummaryThis second-semester course is compulsory for all students on the Computational Applied Mathematics MSc programme. Students will develop their research skills through a set of supervised/observed activities which will culminate in a group report focused on analysis one of the recent research articles discussed during the weekly workshops. The project theme may influence the choice of MSc dissertation topic but this is not required. The course will be assessed based on a written report (in subgroups) and a joint oral presentation.
Course description This course has a form of a supervised workshop/reading group and offers students a guided exposure to contemporary problems arising in the analysis of real-world scientific problems which require combining sophisticated mathematical techniques with computational skills.

Workshop activities will focus on supervised reviews of recent research papers and other literature in the broad area of computational and applied mathematics. Active student involvement and conversations with peers are required.

Activities are aimed at preparing students for the summer dissertation project by exposure to a wide variety of topics including identifying and applying appropriate mathematical and computational techniques.

Attendance of seminars in the School on topics related to Computational Mathematics will be required.

A guided workshop will be provided to students in the form of a reading group exploring up to three research articles on contemporary problems in computational applied mathematics. The aim of the workshop is to:
- Expose students to a variety of situations that arise in the analysis of real-world computational problems which require sophisticated mathematical techniques,
- Provide a practical experience for tackling mathematical problems that require a significant computational component,
- Prepare the students for the summer dissertation project. This will include identifying and applying appropriate mathematical and computational techniques to real problems, interpreting the results and presenting the conclusions.

Students will be able to focus on one of the presented topics and explore it in more depth in subgroups with a further advice and guidance from staff on weekly basis. Active interaction with peers and equal contribution to the final group report is required. A written group report will be submitted by a given deadline detailing the methods used, results obtained and corresponding interpretation of the results.

Additionally, the students will be required to attend seminars on topics related to Computational Mathematics.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements Available to MSc students only
Course Delivery Information
Academic year 2023/24, Not available to visiting students (SS1) Quota:  None
Course Start Full Year
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 200 ( Seminar/Tutorial Hours 11, Dissertation/Project Supervision Hours 11, Summative Assessment Hours 1, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 173 )
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. Apply mathematical and numerical techniques in the study of a problem in applied mathematics.
  2. Acquire the necessary skills (writing, computing, presentation) to prepare the students for the summer dissertation project.
  3. Work in a group in order to produce a technical report.
  4. Communicate specialist knowledge via a short presentation.
  5. Incorporate and critically analyse appropriate mathematical literature.
Reading List
Additional Information
Graduate Attributes and Skills Not entered
KeywordsRSCAM,Research Skills,Computational Applied Mathematics
Course organiserProf Benedict Leimkuhler
Course secretaryMiss Gemma Aitchison
Tel: (0131 6)50 9268
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