Course: Case Studies in Scientific Computing (2026-27)

Lecturer: Profile: Kathryn Gillow

Course information

Course term: Michaelmas

Course lecture information: 1 hour lecture and work in groups

Course overview:

The Case Studies in Scientific Computing form an essential part of the MSc course and build on the skills learnt in Practical Numerical Analysis. Students work in small groups and study a problem, or range of related problems, which can be tackled using numerical techniques. The case studies run in weeks 4-8 of Michaelmas term, and subsequently students will be required to individually extend the project beyond the group work. The problems studied will vary from year to year, but recent projects have involved adaptive solvers for ODEs, solving inverse problems, use of neural networks, and a variety of methods for the numerical solution of PDEs.

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  Registration start: Monday, 11 January 2027, 12:00 PM
  
  Registration end: Friday, 12 February 2027, 12:00 PM
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Section outline

General

Course Materials

Intercollegiate Classes