[ 536DASCICSU21 ] UE Introduction to Computational Statistics

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
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”
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.
Criteria for evaluation Presentation of solved homeworks.
Methods Discussion of homework
Language English
Study material Slides. Supplementary reading (books, articles) will be announced each semester.
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)
On-site course
Maximum number of participants 35
Assignment procedure Direct assignment