Course - Advanced Computing - DT8123
DT8123 - Advanced Computing
About
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.
No
Version: 1
Credits:
7.5 SP
Study level: Doctoral degree level
Term no.: 1
Teaching semester: SPRING 2023
Language of instruction: English
Location: Trondheim
- Computer Science
- Technological subjects
- Anne Cathrine Elster
- Frank Lindseth
- Gunnar Tufte
- Hans Magnus Själander
- Magnus Jahre
- Magnus Lie Hetland
- Rakesh Kumar
- Theoharis Theoharis
Department with academic responsibility
Department of Computer Science
Examination
- * 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.
For more information regarding registration for examination and examination procedures, see "Innsida - Exams"