Inhalt
[ 536DASCICSU21 ] UE Introduction to Computational Statistics
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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 |
(*)Artificial Intelligence |
Milan Stehlik |
1 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Bachelor's programme Artificial Intelligence 2021W |
| Objectives |
Practicing the theoretical and practical concepts and methods acquired in the lecture “Introduction to Computational Statistics”
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| Subject |
Computer arithmetic, methods of non-linear optimization and root finding, EM algorithm, pseudorandom number generation, numerical integration, Jackknife and bootstrap, permutation tests, regression, precision of statistical computation.
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| Criteria for evaluation |
Presentation of solved homeworks.
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| Methods |
Discussion of homework
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| Language |
English |
| Study material |
Slides. Supplementary reading (books, articles) will be announced each semester.
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| Changing subject? |
No |
| Corresponding lecture |
in combination with 536DASCICSV21: VL Introduction to Computational Statistics (1.5 ECTS) equivalent to 951STCOCSTK14 KV Computational Statistics (4 ECTS)
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| On-site course |
| Maximum number of participants |
35 |
| Assignment procedure |
Direct assignment |
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