Swedish eScience Education (SeSE) is a national graduate school in eScience in Sweden. It comes from the collaboration between two major research initiatives in eScience and the school has turned out to be very successful. It has made it possible for students at different universities to get access to education that is not normally available at their home universities. With SeSE they get access to education by the top experts within their respective field. We argue why such graduate school is important and how it is different from training offered by many HPC centres in Europe. Furthermore, examples of courses and their structure is discussed as well as lessons learned from SeSE and its two predecessors in Sweden.
[1]
Nathan Marz,et al.
Big Data: Principles and best practices of scalable realtime data systems
,
2015
.
[2]
emontmej,et al.
High Performance Computing
,
2003,
Lecture Notes in Computer Science.
[3]
E. Süli,et al.
An introduction to numerical analysis
,
2003
.
[4]
Dianne P. O'Leary.
Scientific Computing with Case Studies
,
2008
.
[5]
Ann Henderson-Sellers,et al.
A Climate Modelling Primer
,
1987
.
[6]
Julia Kastner,et al.
Handbook Of Fluid Dynamics
,
2016
.
[7]
Lawrence J. Rosenblum,et al.
Scientific visualization : advances and challenges
,
1994
.