Level of Study
Objectives and Content
The course contains solution methods for linear optimization models. Topics that are covered include the simplex method and the interior point methods for linear programming, network algorithms, duality theory and sensitivity analysis.
On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
- can explain what a linear optimization problem is and how it can be solved.
- can explain the mathematical theory behind the solution methods.
- can analyze solutions to a linear optimization problem.
Required Previous Knowledge
At least 60 ECTS in computer science, preferably including some mathematics.
Recommended mathematics: Calculus I and II and linear algebra.
Recommended Previous Knowledge
Credit Reduction due to Course Overlap
I172: 10 SP
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
Lectures, 4 hours per week
Group exercises, two hours per week
Compulsory Assignments and Attendance
Compulsory assignments are valid two semesters, the semester of the approval and the following semester.
Forms of Assessment
3-hour written exam which can be done digitally.
There is the possibility that grades for compulsory exercises during the semester will be part of the final grade. If there are less than 20 students taking the course, the exam can be oral.
Examination Support Material
The textbook used in this course can also be used during the exam.
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 January 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 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.
mailto:firstname.lastname@example.org Student adviser
T: 55 58 42 00
For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. The exam location will be published 14 days prior to the exam.
Type of assessment: Written examination
- 14.12.2018, 15:00
- 3 hours
- Withdrawal deadline