|
|
|||||||||||||||||
MAT-52716 Introduction to Data Analysis Software, 3 cr |
Robert Piche
No implementations
Active participation in all 6 labs, and submission of acceptable written solutions (in English or Finnish) of homework assignments within 2 weeks after each lab.
Completion parts must belong to the same implementation
This course is a hands-on introduction to advanced real-life data-analysis problems and to the use of computer packages for their solution.
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Bayesian statistical models and inference with winBUGS | ||
| 2. | Analysis of data from opinion surveys with TIXE | ||
| 3. | Survival analysis with R | ||
| 4. | Pattern recognition with MATLAB | ||
| 5. | Quality assurance with MATLAB | ||
| 6. | Data mining with LISp-Miner |
| Course | Mandatory/Advisable | Description |
| MAT-33316 Statistics | Advisable |
There is no equivalence with any other courses
Course materials and homework submissions at http://moodle.tut.fi/course/view.php?id=2308