[ 4MSCVDPR ] PR Computerintensive Procedures in Data Analysis
|
|
|
| Es ist eine neuere Version 2024W dieser LV im Curriculum Master's programme Computational Mathematics 2024W vorhanden. |
|
| (*) Unfortunately this information is not available in english. |
 |
| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 6 ECTS |
M2 - Master's programme 2. year |
Statistics |
Bettina Grün |
2 hpw |
Johannes Kepler University Linz |
|
|
|
| Detailed information |
| Pre-requisites |
(*)keine
|
| Original study plan |
Master's programme Statistics 2013S |
| Objectives |
Introduction to several topics in computational statistics in order to understand the concepts as well as the correct application as well as independent implementation and application of selected methods
|
| Subject |
Methods of non-linear optimization, EM algorithm, pseudorandom number generation, MCMC methods, Jackknife and bootstrap, numerical integration
|
| Criteria for evaluation |
Written project reports
|
| Methods |
Lecture by instructor; Discussion of the projects, where the solution is presented by the students in a project report; Independent development and application of computational statistical methods
|
| Language |
German |
| Study material |
Slides
Supplementary reading will be announced each semester.
|
| Changing subject? |
No |
|
|
|
| On-site course |
| Maximum number of participants |
20 |
| Assignment procedure |
Assignment according to priority |
|
