Credits

3 cr

Person in charge

Pekka Varis

Course language

Finnish

No upcoming implementations. See the syllabus for more information.

Learning outcomes of the course

The student understands the concept of probability as a measure of uncertainty. They have a view how this measure can be applied to the random real-world phenomena and statistical analysis.

Course contents

Random phenomena and the concept of probability. The conditional probability and independency, Bayesâ€™ rule. The random variable, binomial-, Poisson- and normal distribution, the central limit theorem. A review of statistical analysis. Application examples.

Prerequisites and co-requisites

Basic skills of algebra and analysis, integral

Evaluation scale

Pass/Fail

Assessment criteria

Assessment criteria - grade 1 and 2

Pass: The student shows in the exam that they understand the concept of probability and is able to apply it to random real-life phenomena and statistical analysis.

The assessment is based on exam and exercises.

The assessment is based on exam and exercises.

Assessment criteria, passed/failed

Pass: The student shows in the exam that they understand the concept of probability and is able to apply it to random real-life phenomena and statistical analysis. The assessment is based on exam and exercises.