Course syllabus
Optimization in Normed Vector Spaces, 7.5 credits
| Course code: | MA109A | Credits: | 7.5 |
|---|---|---|---|
| Main field of study: | Mathematics | Progression: | A1N |
| Last revised: | |||
| Education cycle: | Second cycle | Approved by: | Head of school |
| Established: | 02/12/2020 | Reading list approved: | |
| Valid from: | Spring semester 2024 | Revision: | 2 |
According to the Higher Education Ordinance, Chapter 6, Section 18, a grade is to be awarded on the completion of a course, unless otherwise prescribed by the university. The university may determine which grading system is to be used. The grade must be determined by a teacher specifically nominated by the university (the examiner).
In accordance with university regulations on grading systems for first and second-cycle courses and study programmes (Vice-Chancellor’s decision ORU 2018/00929), one of the following grades is to be used: fail (U), pass (G) or pass with distinction (VG). For courses included in an international master’s programme (60 or 120 credits) or offered to the university’s incoming exchange students, the A to F grading scale is to be used. The vice-chancellor, or a person appointed by them, may decide on exceptions from this provision for a specific course, if there are special grounds for doing so.
The grades used on this course are Fail (F), Sufficient (E), Satisfactory (D), Good (C), Very Good (B) or Excellent (A).
Specific entry requirements
Optimization, 7.5 credits and Linear Analysis, 7.5 credits.
For further information, see the university's admission regulations.