DT8123 - Advanced Computing


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.

More on the course



Version: 1
Credits:  7.5 SP
Study level: Doctoral degree level


Term no.: 1
Teaching semester:  SPRING 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Computer Science
  • Technological subjects


  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

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