PhD-Level Courses at the IT Department
Please read your relevant curriculum at subject curricula in order to understand the course requirements of (your specialisation of) your PhD education subject.
Mandatory Courses by the TekNat Faculty
- A course on research ethics, minimum 2 credits, is mandatory for a licentiate or PhD degree at TekNat, and mandatory at the IT department for the 50% declaration: look for research ethics at TekNat PhD-Level Courses and also see UU education on research ethics (the latter website is currently only in Swedish.
- A course on teacher training, minimum 7.5 credits, is mandatory for PhD students with teaching duties: look for university educational theory at TekNat PhD-Level Courses.
Faculty-Wide Courses by the TekNat Faculty
Faculty-wide PhD-level courses shared by all the departments within the TekNat Faculty are aimed at PhD students within several subjects and specialisations: see the current offerings at TekNat Faculty-Wide PhD-Level Courses; several of these courses are taught at the IT department!
Courses by the IT Department
The IT Department (co-)teaches the following ad-hoc courses in the near future:
|Using Computer Science and Mathematics to Do Social Good (5 to 10 credits)||broad||David J.T. Sumpter||periods 1 and 2 of autumn 2021|
|Popular-Scientific Presentation (4 or 5 credits)||broad||Gunilla Borgefors (teacher) and Ida-Maria Sintorn (coordinator)||period 2 of autumn 2021|
|IT-specific add-on module (1 or 2 credits) to Intellectual Property and Commercialisation (3 credits) of autumn 2021||broad||Ida-Maria Sintorn||spring 2022|
|Gender and ICT in Healthcare (3 to 5 credits)||broad||Åsa Cajander||period 1 of autumn 2021|
The IT Department offers a core curriculum of PhD-level courses regularly. In addition, PhD-level courses in the form of seminars and guest lectures are often organised, in order to cover special issues and timely research topics. Here are the course lists of the four PhD education subjects and their specialisations:
- courses in Computer Science
- courses in Computerised Image Processing
- courses in Scientific Computing
Every PhD student is free to attend every course of every subject, so all four lists should be browsed, especially that there are broad introductory courses in each list.
Other Sites with Relevant Courses
- Department of Mathematics, Uppsala University
- Centre for Interdisciplinary Mathematics, Uppsala University: sign up for their mailing list in case you are interested in such courses
- Swedish e-Science Education, PhD school
- PhD-level courses of NordTek, the Network of the Technical Universities in the five Nordic countries
Archive of PhD-level courses at the IT department
The following archive is not maintained any more, because it is now distributed over the archives of the four PhD education subjects linked-to above:
- Courses offered in 2017/2018
- Courses offered in 2016/2017
- Courses offered in 2015/2016
- Courses offered in 2014/2015
- Courses offered in 2013/2014
- Courses offered in 2012/2013
- Courses offered in 2011/2012
- Courses offered in 2010/2011
- Courses offered in 2009/2010
- Courses offered in 2008/2009
- Courses offered in 2007/2008