Student Pages
Undergraduate course

Modelling and Optimization

Teaching semester


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.

Learning Outcomes

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.

Recommended Previous Knowledge

INF101, MNF130

Compulsory Assignments and Attendance


Forms of Assessment

3 hours written exam.
Compulsory exercises may count towards the final grade. 

Examination Support Material

Examination aids will be published on Mitt UiB

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.

Subject Overlap

I170: 10 credits

Exam information

  • 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. Autumn 2020 written exams will be arranged either at home or on campus. Please see course information on MittUiB.

  • Type of assessment: Written examination

    23.11.2020, 09:00
    3 hours
    Withdrawal deadline
    Examination system
    Digital exam