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 prerequisites

MA-178 and MA-179

Course 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

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

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.

Teaching methods

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

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 Single Standing Module

Yes. Subject to availability or capacity.

Admission Requirement if given as Single Standing Module

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).

Assessment methods and criteria

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

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-110 – Statistics 5
Last updated from FS (Common Student System) June 30, 2024 11:37:44 PM