[ TM1WCUEMARK ] UE Markov chains
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| Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Artificial Intelligence 2024W vorhanden. |
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| 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 |
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| Detailed information |
| Original study plan |
Bachelor's programme Technical Mathematics 2012W |
| Objectives |
Exercises for the lecture Markov-chains
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| Subject |
Materials of the lecture
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| Criteria for evaluation |
The evaluation consists of attendance, number of examples ticked off and blackboard performance
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| 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.
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| Language |
German |
| Study material |
script
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| Changing subject? |
No |
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| On-site course |
| Maximum number of participants |
25 |
| Assignment procedure |
Direct assignment |
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