Inhalt

[ TM1WCUEMARK ] UE Markov chains

Versionsauswahl
Es ist eine neuere Version 2022W dieser LV im Curriculum Master's programme Mathematics for Natural Sciences 2022W vorhanden.
Workload Education level Study areas Responsible person Hours per week Coordinating university
1,5 ECTS B3 - Bachelor's programme 3. year Mathematics Dmitry Efrosinin 1 hpw Johannes Kepler University Linz
Detailed information
Original study plan Bachelor's programme Technical Mathematics 2012W
Objectives Exercises for the lecture Markov-chains
Subject Materials of the lecture
Criteria for evaluation The evaluation consists of attendance, number of examples ticked off and blackboard performance
Methods Every week, a list of exercises is made available for download in the accompanying Moodle course. The participants have to mark the tasks they have solved themselves in a list before the exercise. Further details will be provided in the first exercise lesson or via email. Based on the examples marked with a cross, the respective students will pre-calculate them after calling them up on the blackboard.
Language German
Study material script
Changing subject? No
On-site course
Maximum number of participants 25
Assignment procedure Direct assignment