Table of contents

The course is connected to the following study programs

  • Industrial Mathematics, Bachelor's Programme
  • Mathematics, 1-year Programme

Teaching language

Norwegian

Recommended previous knowledge

Calculus 1

Learning outcomes

Upon successful completion of the course, the student will be able to

  • use fundamental concepts, and the connection between them, in statistics and probability theory.
  • solve simple combinatorial problems
  • establish probability models for everyday probability problems and explain why these models can be used
  • use the most common probability models and their properties, as well as the central limit theorem and hypothesis testing, to analyse random data samples.

Contents

Basic statistics, probability theory, probability models, random variables, expectation, variance, conditional expectation, simultaneous distribution, central limit theorem, point estimation and confidence intervals, hypothesis testing. Applications.

Teaching and learning methods

Lectures og group work. Estimated workload of the course is 267 hours.

Examination requirements

Compulsory submissions must be approved, see Canvas for more information.

Examinations

5-hour written examination. 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.

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-166 – Statistics. 10
MA-186N – Statistics . 10
Last updated from FS (Felles studentsystem) Oct. 15, 2026 9:02:35 AM