Graduate Courses in Scientific Computing

The graduate programme in Scientific Computing is based on a core curriculum of graduate courses that are offered regularly. Typically, two of these courses are offered each semester. In addition to the core curriculum, other courses and seminars are organized, to cover special issues and timely material.

The individual curriculum for a graduate student should contain a selection of the core curriculum, and additional courses of particular relevance for his/her research project. Courses of a general interest, such as Research Ethics and Philosophy of Science, can also be included. Finally, it is emphasized that the curriculum shall not only contain courses and seminars. Some portion of the curriculum shall be individual reading of relevant literature.

Courses schedulled for the academic year 2011/2012:

Course Semester Contact
Numerical Methods for ODE Period 2 Per Lötstedt
Numerical Linear Algebra Period 2 Maya Neytcheva
Classical Articles in Numerical Analysis Spring Stefan Engblom

Courses schedulled for the academic year 2012/2013:

Course Semester Contact
Mathematical and Numerical techniques in Partial Differential Equations Fall Gunilla Kreiss
Numerical Acoustics Fall Ken Mattsson
Parallel Scientific Computing Spring Sverker Holmgren

This is the current core curriculum:

Course latest year offered periodicity (years)
Classical Articles in Numerical Analysis , 7.5 cp 2012 3-4
Mathematical and Computational Consulting , see (*) continuously
Finite Element Methods, 7.5 cp 2010 3-4
Mathematical and Numerical techniques in Partial Differential Equations, 15 cp New 3-4
Numerical Linear Algebra, 7.5 cp 2012 3-4
Numerical Methods for Nonlinear Hyperbolic PDE , 7.5 cp 2011 3-4
Numerical Methods for ODE, 7.5 cp 2012 3-4
Numerical Methods for PDE, 7.5 cp 2010 3-4
Numerical Optimization, 7.5 cp 2009 3-4
Parallel Scientific Computing, 10 cp New 3-4
Research Methods in Scientific Computing, see (*) continuously
Software Issues in Scientific Computing, 10 cp in planning 3-4

(*) The number of credit points for this course is flexible and depends on how much work the student puts into the course.

Other relevant courses can be found at: