STAT3200 Applied Probability and Stochastic Processes (5 cr)
Cooperation network course
Network: Vaasa Higher Education Consortium
Network: Cross-institutional studies in advanced courses in mathematics and statistics
This course is offered through the Network for Advanced Studies in Mathematics. These studies are available for the following degree students:
- Bachelor's Degree Programme in Mathematics
- Master's Degree Programme in Mathematics
- Bachelor's Degree Programme in Mathematics (Subject Teacher)
- Master's Degree Programme in Mathematics (Subject Teacher)
- Bachelor's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Master's Degree Programme in Mathematics, Chemistry or Physics Subject Teacher Education and Primary Teacher Education (Specialication in Mathematics)
- Doctoral Programme in Mathematics and Statistics
- Doctoral Programme in Mathematics and Science (Specialication in Mathematics)
Description
Probability and conditional probability, generating functions, Poisson, exponential and normal distribution, Markov chains, Chapman-Kolmogorov equations, stationary distributions and ergodic theorems, Poisson process, applications to queueing systems. Course develops critical and analytical thinking, IT skills (Octave/Matlab), problem-solving and decision-making skills and oral skills (presentations in exercise sessions).
Learning outcomes
To complete the basic skills in probability theory and introduce to the field of stochastic processes and their applications
Additional information
Responsible Unit: School of Technology and Innovations
Description of prerequisites
Basic studies in mathematics, and probability and/or statistics