Course
Study course in Computer Technology (DAT940)
This course allows PhD candidates to take one master-level course as part of their doctoral degree. Additional requirements apply.
Course description for study year 2025-2026. Please note that changes may occur.
Facts
Course code
DAT940
Credits (ECTS)
10
Semester tution start
Autumn
Language of instruction
English
Number of semesters
1
Exam semester
Autumn
Time table
Literature
Content
The PhD program in Information Technology, Mathematics and Physics, field of study Information / Computer Technology / Applied Data Science covers a wide range of research areas. This means that PhD candidates often work interdisciplinary and it therefore will be appropriate to include a master's course as part of the syllabus. To facilitate this, the Study course in Computer Technology functions as a generic doctoral degree course where the learning outcomes, contents and evaluation form will correspond to the learning outcomes, contents and evaluation form in the selected master's degree course, but with additional requirements in the form that the grade must be B or better and that there must be an additional oral examination, as well. If the chosen master's course is at a department other than IDE, courses from the last two years of the relevant master's program can be chosen. If the chosen master's course is at IDE, it should preferably be chosen from courses from the last year of the master's study. If the course is chosen outside UiS, a course at PhD level should preferably be chosen.
Learning outcome
Learning outcomes in the course correspond to learning outcomes from the relevant master's degree course.
Required prerequisite knowledge
None
Exam
Form of assessment | Weight | Duration | Marks | Aid |
---|---|---|---|---|
Oral exam | 1/1 | Passed / Not Passed |
Exam and compulsory activities in the ordinary master's courses must be completed. Grade B or better must be obtained on the exam in the master’s course in order to pass compulsory sub-activity in this course.
Course teacher(s)
Head of Department:
Tom RyenMethod of work
The work forms of the course corresponds to the work forms of the relevant master's degree course.
Open for
Students that follows the PhD-programme i Information Technology, Mathematics and Physics.
Course assessment
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1