TNK047 · 6 credits · Basic level (G2F) · Matematik, Tillämpad matematik
Optimization and System Analysis
Active · next start HT 2026
88%
passed the latest ordinary exam
TEN1 · 30 Oct 2025 · 8 students
82%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 73 students
Part of 1 programme
Exam
TEN1 Written examination
- 5
- 4
- 3
- U
Ordinary exams
82% passed · 73 students
- 88%8
- 95%20
- 57%14
- 82%22
- 89%9
Re-exams
41% passed · 17 students
- 57%7
- 20%5
- 40%5
- Pass the re-exam: 41% (17 students), compared with 82% (73 students) on the ordinary exam
- Get 4 or 5: 38% (90 students)
Show small sittings (6)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%1
- 0%1
- 75%4
- 100%3
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Hand-in or lab
LAB1 Laboratory work
- G
Main rounds
100% passed · 52 students
- 100%6
- 100%19
- 100%13
- 100%14
Later rounds
100% passed · 5 students
- 100%5
- Pass a later round: 100% (5 students), compared with 100% (52 students) on the ordinary exam
Show small sittings (12)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%2
- 100%1
- 100%4
- 100%2
- 100%1
- 100%2
- 100%2
- 100%2
- 100%1
- 100%2
- 100%4
- 100%1
About the course
Aim
The course aims at further insight in modelling and optimization of decision problems. Models for decision analysis is analyzed, including models and methods for optimization problems with discrete variables and for problems from game theory. The students can, after the completion of the course, formulate basic models in decision analysis - solve and analyze the formulated models - apply the analysis to practical problems.
Content
The contents of the course cover mathematical modelling and solution methods. Great weight is given to modelling of problems in decision analysis. Some weight is given to solution techniques for discrete optimization problems. The discussed model types include discrete optimization, and game models. Solution algorithms for these problem types are developed based on the methods and algorithms in the basic optimization course.
- Examiner
- Carl Henrik Häll
- Scheduled hours
- 48 h
- Main field of study
- Matematik, Tillämpad matematik