MAT4120 – Mathematical Optimization
Schedule, syllabus and examination date
Exams after the reopening
As a general rule, exams will be conducted without physical attendance in the autumn of 2021, even after the reopening. See the semester page for information about the form of examination in your course. See also more information about examination at the MN Faculty in 2021.
The course treats selected topics in convexity, optimization and matrix theory. Possible topics include: combinatorial optimization, combinatorial matrix theory, convex analysis, and convex optimization. Usually the version with combinatorial optimization and matrix theory, convexity and polyhedral theory, and also an introduction to polyhedral combinatorics.
After completing this course you will:
- have knowledge of basic convex analysis and combinatorial optimization;
- understand the basic theory of polyhedra and polytopes;
- know basic theory combinatorial matrix theory and network flows;
- be able to develop algorithms, exact and approximate for some types of combinatorial optimization.
Admission to the course
Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.
Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.
If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.
Recommended previous knowledge
- MAT2400 – Real Analysis
- MAT-INF1100 – Modelling and Computations
- MAT3100 – Linear optimization
- MAT-INF3100 – Linear Optimization (continued)
- 10 credits overlap with INF-MAT5360 – Mathematical optimization (discontinued).
- 10 credits overlap with MAT9120 – Mathematical Optimization.
- 10 credits overlap with MAT-INF4110 – Mathematical Optimization (discontinued).
- 10 credits overlap with MAT-INF9110 – Mathematical Optimization (discontinued).
2 hours of lectures each week.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
Upon the attendance of three or fewer students, the lecturer may, in conjunction with the Head of Teaching, change the course to self-study with supervision.
Final written exam 4 hours or final oral exam, which counts 100 % towards the final grade.
The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.
This course has 1 mandatory assignment that must be approved before you can sit the final exam.
It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: MAT9120 – Mathematical Optimization
Examination support material
No examination support material is allowed.
Language of examination
Subjects taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Resit an examination
This course offers both postponed and resit of examination. Read more: