Doctoral courses in Scientific Computing
The doctoral subject of Scientific Computing is based on a core curriculum of courses that are offered regularly. Typically, two of them 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 doctoral student should contain a selection of the core curriculum and additional courses of particular relevance for his/her research project. Courses of general interest, such as Research Ethics and Philosophy of Science, could also be included. 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.
Courses offered in 2023
| course | broad | start | teacher |
|---|---|---|---|
| Programming, 7.5 hp | yes | Spring, 2023 | -- |
| Finite Element Method, 7.5 hp | no | August 31, 2023 | Murtazo Nazarov |
| Mathematical and Numerical Techniques for Partial Differential Equations (PDE), 10 hp | yes | Autumn 2023 | Sandra May |
| Classical Articles in Numerical Analysis (CA), 7.5 hp | yes | 2023 | -- |
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 |
Current core curriculum
| course | broad | previous instances | periodicity (years) |
|---|---|---|---|
| Classical Articles in Numerical Analysis (CA), 7.5 hp | yes | 2015 | 3-4 |
| Mathematical and numerical techniques for Partial Differential Equations (PDE), 10 hp | yes | 2014 | 3-4 |
| Numerical Functional Analysis (NFA), 5 hp | no | 2014 | 3-4 |
| Numerical Linear Algebra (NLA), 7.5 hp |
yes |
2014 |
3-4 |
| Numerical Methods for ODE (ODE), 7.5 hp |
yes | 2016 |
3-4 |
| Numerical Optimization (NO), 7.5 hp | no | 2013, 2017 |
3-4 |
| Parallel Algorithms for Scientific Computing (PASC), 5 hp | yes | 2013, 2018 | 3-4 |
| Parallel Programming for Scientific Computing (PPSC), 5 hp | yes | 2014 | 3-4 |
| Research Methods in Scientific Computing, (*) |
yes | continuously | |
| Mathematical and Computational Consulting, (*) | N/A | continuously |
(*) The number of credit points for this course is flexible and depends on how much work the student puts into the course.
Tentative future overview of core courses
| 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
|---|---|---|---|---|---|
| NLA | CA | ODE | NO | PPSC | PDE |
| PPSC | PDE | PASC | NLA | NFA | CA |
| NFA |
Other courses
(SeSE) In collaboration with Swedish e-Science Education
(CIM) In collaboration with Centre for Interdisciplinary Mathematics
Master level courses
| course |
|---|
| Advanced Numerical Methods, 10 hp |
| Applied Finite Element Methods, 5 hp |
| Large Datasets for Scientific Applications, 5 hp |
| Applied Cloud Computing, 10 hp |
Summer/Winter schools
| school | periodicity | latest | next |
|---|---|---|---|
| Collegio Puteano, Scuola Normale Superiore |
Unknown | 2019 | |
| Hartree |
Unknown | 2016 | |
| Montestigliano |
Annualish | 2014 | |
| Rythms and oscillations |
Unknown | 2014 | |
| Zürich summer school |
Biannual | 2014 | |
| Jyväskylä |
Annual | 2015 | |
| Dobbiaco summer school |
Annual | 2015 | |
| Gene Golub summer school |
Annual | 2015 | Jul 25-Aug 5, 2016 |
| Fluid Dynamics of Sustainability and the Environment |
Annual | 2015 | Sep 5-16, 2016 |
| UPMARC | Annual | 2015 | |
| High-Order Finite Element and Isogeometric Methods |
Annual | 2014 | |
| Rome-Moscow school of Matrix Methods and Applied Linear Algebra |
Annual | 2014 | |
| International Winter School on Big Data |
2015 | ||
| Oberwolfach seminars |
Few times a year | ||
| Franco-German Summer School on Inverse Problems and Imaging in Bremen |
Sep 18-22, 2017 | ||
| Data Science in Göttingen |
Jul 10-21 2017 |
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
Archive of courses for each year
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, and Prashant Singh |
| Parallel algorithms for scientific computing, 5 hp | October or November | Sverker Holmgren and Maya Neytcheva |
Courses offered in 2016
| course | start | teacher |
|---|---|---|
| Applied Cloud Computing (SeSE), 5 hp | Period 3 | Andreas Hellander and Salman Toor |
| Numerical Methods in Stochastic Modelling and Simulations (CIM), 7.5 hp | Period 3 | Stefan Engblom and Josef Höök |
| Matrix Computations in Statistics with Applications (SeSE)
|
Period 3 | Maya Neytcheva |
| Numerical methods for ODEs and DAEs, 7.5 hp (recent information and course syllabus) |
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