Applied Mathematics: Probability Theory, 3 cr - TTZM0320
Credits
3 cr
Person in charge
Pekka Varis
Course language
Finnish
Upcoming implementations
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, Bayes’ 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.
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.