Objectives and Content
The optimization problems considered in the course are from natural sciences, technology, and from economy, where the aim is to distribute limited resources on competing activities. Mathematical formulation of the optimization problems are of prime interest. We consider linear and integer optimization problems, network problems, and nonlinear optimization problems. We also discuss basic solution techniques and their computer implementations.
Upon completion of INF170 Modeling and Optimization, the student is supposed to be able to
- explain what an optimization problem is
- explain the fundamental properties of an optimization problem
- describe various types of linear optimization problems
- formulate and solve simple mathematical models for optimal allocation of scarce resources.
Credit Reduction due to Course Overlap
I170: 10 credits
Compulsory Assignments and Attendance
Forms of Assessment
3 hours written exam.
Compulsory exercises may count towards the final grade.
The following changes is made to assessment autumn semester 2021.
- Written home examination instead of written examination on campus
Examination Support Material
Examination aids will be published on Mitt UiB
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
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.
Type of assessment: Written examination
- 14.02.2022, 09:00
- 3 hours
- Withdrawal deadline
- Examination system
- Digital exam