- ECTS credits10
- Teaching semesterSpring, Autumn
- Course codeINF271
- Number of semesters1
Level of Study
Objectives and Content
Objectives: The course aims to give knowledge in theory and solution methods for combinatorial optimization
Content: The course deals with theory and algorithms for solving integer and combinatorial optimization problems. Topics that are covered include models and algorithms for network flow, matching, assignment, matroids, knapsack problems, relaxations, tree search methods, and cutting plane methods.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- knows the theory of combinatorial optimization problems
The student can
- formualate a combinatorial optimization problem efficiently
- model industrial planing problems in terms of combinatorial optimization
The student can
- explain how fast a combinatorial optimization problem can be solved
- explain the mathematical theory underlying algorithms for combinatorial optimization
Required Previous Knowledge
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
I273: 10 ECTS
Access to the Course
Access to the course requires admission to a programme of study at The Faculty of Mathematics and Natural Sciences
Teaching and learning methods
The teaching is given in terms of lectures and group sessions
Lectures / 4 hours per week
Group sessions/ 2 hours per week
Compulsory Assignments and Attendance
Two compulsory assignments, valid for one subsequent semester.
Forms of Assessment
Final oral exam.
Examination Support Material
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Examination both spring semester and autumn semester. In semesters without teaching the examination will be arranged at the beginning of the semester.
The reading list will be available within June 1st for the autumn semester and December 1st for the spring semester
The course will be evaluated by the students in accordance with the quality assurance system at UiB and the department
The Programme Committee is responsible for the content, structure and quality of the study programme and courses.
Course coordinator and administrative contact person can be found on Mitt UiB, or contact mailto:firstname.lastname@example.org">Student adviser
The Faculty of Mathematics and Natural Sciences represented by the Department of Informatics is the course administrator for the course and study programme.
T: 55 58 42 00
Type of assessment: Oral examination
- Withdrawal deadline