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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