Selected Topics in Optimization
Postgraduate course
- ECTS credits
- 10
- Teaching semesters
- Autumn, Spring
- Course code
- INF379
- Number of semesters
- 1
- Teaching language
- English
- Resources
- Schedule
Course description
Objectives and Content
Objectives: The course aims to give knowledge in the selected optimization topics.
Content: The course deals with optimization theory and algorithms. Exact content wil vary from year to year.
Topics for Spring 2025:
- Semi-infinite Optimization
- Optimization and Mathematical Finance
- Optimization, Informatics and Markets
Learning Outcomes
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
Knowledge
The student
- knows the theory of the selected optimization topics that have been lectured
For Autumn 2024:
Knowledge
The student should be able to
- explain the basic principles behind multi-objective optimization.
- solve multi-objective optimization problems with a wide range of multi-objective techniques.
Skills
The student should be able to
- implement multi-objective optimizationalgorithms.
- apply multi-objective solution approachon practical problems.
General competence
- The student can assess the problem and able to solve it with suitable approaches.
- The student can explain how the increase in objectives affects theobjective andsolutionspace.
ECTS Credits
10
Level of Study
Master/PhD
Semester of Instruction
Irregular
Required Previous Knowledge
At least 120 ECTS in computer science, preferably including some mathematics
Recommended Previous Knowledge
Good knowledge to optimization.
Access to the Course
Access to the course requires admission to a master's programme at The Faculty of Science and Technology
Teaching and learning methods
The teaching is given in terms of lectures
Lectures / 2-4 hours per week
Forms of Assessment
Final oral exam
Grading Scale
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Assessment Semester
Same semester the course is taught, and the subsequent.
Reading List
The reading list will be available within July 1st for the autumn semester and December 1st for the spring semester
Course Evaluation
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department
Examination Support Material
None
Programme Committee
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course Coordinator
Course coordinator and administrative contact person can be found on Mitt UiB, or contact studieveileder@ii.uib.no
Course Administrator
The Faculty of Science and Technology represented by the Department of Informatics is the course administrator for the course and study programme.