PhD courses in Scientific Computing
Introduction
The doctoral subject of Scientific Computing is based on four mandatory courses that are offered regularly. Typically, two of them are offered each year. In addition to the mandatory courses, other courses and seminars are organized to cover special issues and timely material.
The individual curriculum for a doctoral student should contain both the mandatory courses and additional courses of particular relevance for his/her research project. Finally, it is emphasized that the curriculum should not only contain courses and seminars. Some portion of the curriculum has to be an individual reading of relevant literature.
General
Other courses
Other relevant course sites
- UPMARC, Uppsala University
- Centre for Interdisciplinary Mathematics, Uppsala University
- Swedish e-Science Education
- Applied and Computational Mathematics, Royal Institute of Technology
- Department of Mathematics, Uppsala University
Previous courses
Corses given previously on a more regular basis
(SeSE) In collaboration with Swedish e-Science Education
(CIM) In collaboration with Centre for Interdisciplinary Mathematics
Courses offered in 2023
Course | Broad | Start | Teacher |
|---|---|---|---|
Techniques and Technologies for Scientific Software Engineering (TTSSE), 7.5 hp | yes | Spring, 2023 | Carl Nettelblad Sven-Erik Ekström |
Finite Element Method, 7.5 hp | no | August 31, 2023 | Murtazo Nazarov |
Mathematical and Numerical Techniques for Partial Differential Equations (PDE), 7.5 hp | yes | Autumn 2023 | Sandra May |
| Mathematical foundations for computational science, 7.5 hp | yes | Sep 2023 | Gunilla Kreiss Elisabeth Larsson Mohammad Motamed Stefan Engblom |
Courses offered in 2022
Course | Broad | Start | Teacher |
|---|---|---|---|
| Crash course on mathematics of deep learning, 5 hp | yes | May-June, 2022 | Mohammad Motamed |
| Parallel programming for scientific computing, 5 hp | yes | February, 2022 | Martin Kronbichler |
| Numerical Functional Analysis (NFA), 5 or 7.5 hp | no | Spring, 2022 | Stefan Engblom |
Finite Element Method, 7.5 hp | no | August 31, 2022 | Murtazo Nazarov |
Courses offered in 2021
Course | Broad | Start | Teacher |
|---|---|---|---|
| Numerical Linear Algebra (NLA), 7.5 hp | yes | Spring 2021 | Maya Neytcheva |
| Discontinuous Galerkin (DG) methods for hyperbolic problems, 5 hp | no | March 24, 2021 | Jeniffer Ryan |
Numerical Optimization, 7.5 hp | no | October 1, 2021 | Ken Mattsson |
Finite Element Method, 7.5 hp | no | August 31, 2021 | Murtazo Nazarov |
Courses offered in 2020
Course | Broad | Start | Teacher |
|---|---|---|---|
Finite Element Method, 7.5 hp | no | August 31, 2020 | Murtazo Nazarov |
| Numerical Methods for ODE, 7.5 hp | yes | September 8, 2020 | Gunilla Kreiss |
SeSE course on Matrices in Statistics with Applications, 5 hp | yes | September 14-18, 2020 | Maya Neytcheva |
Parallel Algorithms for Scientific Computing PASC, 5~7.5 hp | no | November 2, 2020 | Maya Neytcheva |
| Numerical Methods in Stochastic Modelling and Simulations, 7.5 hp | yes | January 2020 | Stefan Engblom |
SeSE course on Machine Learning, 7.5 hp | yes | May 2020 | Salman Toor Andreas Hellander Carl Nettelblad |
Courses offered in 2019
Course | Broad | Start | Teacher |
|---|---|---|---|
Finite Element Method, 7.5 hp | no | September | Murtazo Nazarov |
| Mathematical and numerical techniques for Partial Differential Equations (PDE), 10 hp | yes | February | Gunilla Kreiss |
| Numerical Functional Analysis (NFA), 5 hp | no | April 15 | Stefan Engblom |
| Classical Articles in Numerical Analysis (CA), 7.5 hp | yes | September | Ken Mattsson |
Courses offered in 2018
Course | Broad | Start | Teacher |
|---|---|---|---|
| Uncertainty Quantification, 5 hp or 7.5 hp | yes | Sep 6 | Mohammad Motamed |
| Numerical linear algebra, 7.5 hp | yes | Oct 15 | Maya Neytcheva |
| Parallel programming for scientific computing, 5 hp | yes | Dec 3 | Sverker Holmgren |
Applied Cloud SeSE, 5 hp | yes | Nov 5 | Andreas Hellander |
Courses offered in 2017
Course | Start | Teacher |
|---|---|---|
| Approximation theory, 7.5 hp | May 23 | Elisabeth Larsson Olof Runborg |
| Numerical optimization, 10 hp | September 18 | Ken Mattsson Maya Neytcheva Prashant Singh |
Parallel algorithms for scientific computing, 5 hp | October or November | Sverker Holmgren Maya Neytcheva |
Coursese offered in 2016
Course | Start | Teacher |
|---|---|---|
| Applied Cloud Computing (SeSE), 5 hp | Period 3 | Andreas Hellander Salman Toor |
| Numerical Methods in Stochastic Modelling and Simulations (CIM), 7.5 hp | Period 3 | Stefan Engblom Josef Höök |
| Matrix Computations in Statistics with Applications (SeSE) | Period 3 | Maya Neytcheva |
| Numerical methods for ODEs and DAEs, 7.5 hp | Period 1 | Per Lötstedt Michael Hanke |
| Research projects in Scientific Computing, 7.5 hp | Period 2 | Lina von Sydow |
(SeSE) In collaboration with Swedish e-Science Education
(CIM) In collaboration with Centre for Interdisciplinary Mathematics