Course - Advanced Computing - DT8123
Advanced Computing
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About the course
Course content
The candidate will get new knowledge and learn to build new knowledge within the field, and thus be trained to contribute to larger research or development projects within advanced computing.
Learning outcome
The candidate should be able to use relevant methods for performing research in the field of advanced computing. The candidate should be able to write and critically assess scientific articles. The candidate should be able to efficiently use available computing infrastructures.
Learning methods and activities
Lectures, self-study, and group discussion. All lectures and teaching material will be in English. The candidate will through exercises become familiar with the general field of advanced computing and perform a mini-project on one of the following topics: algorithms, compilers, computer architecture, high-performance computing, or visual computing. The candidate will write a scientific article and participate in the peer-review of other's articles.
Further on evaluation
The final grade is pass or fail. To pass the course at least 80% of the lectures have to be attended, the exercises and mini-project be completed, a scientific article has to be written, and contributed to peer-evaluation of other's articles.
Recommended previous knowledge
Master's degree in computer science, informatics or equivalent, or admitted to NTNU's Ph.D. program.
Subject areas
- Computer Science
- Technological subjects
Contact information
Course coordinator
Lecturers
- Anne Cathrine Elster
- Frank Lindseth
- Gunnar Tufte
- Hans Magnus Själander
- Magnus Jahre
- Magnus Lie Hetland
- Rakesh Kumar
- Theoharis Theoharis