Table of contents

The course is connected to the following study programs

  • Civil and Structural Engineering, Bachelor's Programme
  • Computer Engineering, Bachelor's Programmme
  • Electronics and Electrical Engineering, Bachelor's Programme
  • Renewable Energy, Bachelor's Programme
  • Mechatronics, Bachelor's Programme
  • Artificial Intelligence, 5-year master programme

Teaching language

Norwegian

Recommended previous knowledge

MA-178 and MA-179

Learning outcomes

Successful completion of this course, the student should be able to:

  • read and understand statistical reports.
  • use probability calculus and statistical inference in their professions
  • make use of methods to calculate uncertainty, risk, and reliability.
  • use relevant electronic tools

Contents

  • Gathering and analysing data, with an application in technology
  • Probability and conditional probability. Bayes’ theorem.
  • Stochastic variables and probability distributions (including binomial, Poisson, normal, gamma, beta, and t distributions)
  • Statistical inference, with Interval estimates and hypothesis testing for Gaussian, binomial and Poisson processes. Predictive inference. Both Bayesian and frequentist methods
  • Linear regression with uncertainty
  • Uncertainty, risk, and reliability.
  • Use of electronic tools

Teaching and learning methods

Lectures, tutorial groups for exercises, mandatory assignments. Information on exercises will be provided in Canvas.

Examination requirements

Enough approved mandatory exercises, including a mandatory project. Information about the mandatory exercises will given in Canvas at the start of the semester.

Examinations

3 hour written exam (counts 70 %) and a project report (counts 30 %). Graded assessment.

Student evaluation

The person responsible for the course decides, in cooperation with student representative, the form of student evaluation and whether the course is to have a midway or end of course evaluation in accordance with the quality system for education, chapter 4.1.”

Offered as a free-standing course

Yes. Subject to availability or capacity.

Admission Requirement if given as a free-standing course

Higher Education Entrance Qualification including mathematics R1 and R2 and physics 1, or a pass in the preliminary course examination for engineers (which is also offered at University of Agder).

Reduction of Credits

This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:

Course Reduction of Credits
MA-155 – Statistics and economy. 7.5
MA-171 – Statistics and economy - Electrical Engineering. 7.5
MA-223N – Statistics. 7.5
MA-110 – Statistics. 5
Last updated from FS (Felles studentsystem) Oct. 15, 2026 8:31:41 AM