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Labs and Seminars

Two types of labs (tutorials) will be proposed for the course (alternating):

  • practical labs in which students will implement selected methods discussed in the course and experiment with them,
  • theoretical labs in which students will discuss solutions of theoretical assignments (made available before the class).

The solutions of the practical labs have to be submitted using the upload system

  • Your task will be to program a solution of the assigned problems. You have to hand out your code and a report in PDF. The report has to contain only answers to the assignments (nothing else).
  • As a programming language you can use either Matlab or Python.
  • The deadline for submitting your solutions will be 4 weeks after the date of assignment. This is a hard deadline. (The report for the last lab has to be submitted not later than one week before the first exam.)

Lab/Seminar plan

Week Date Topic Lecturer Materials Deadline
1 24. 9. none
2 1. 10. Seminar BF
3 8. 10. Seminar VF
4 15. 10. Seminar VF
5 22. 10. Seminar VF
6 29. 10. Lab: SVMs VF 26. 11.
7 5. 11. Seminar JD
8 12. 11. Lab: Neural Networks JD source 17. 12.
9 19. 11. Seminar BF
10 26. 11. Lab: EM algorithm BF 30. 12.
11 3. 12. Seminar BF
12 10. 12. Seminar BF
13 17. 12. Lab: Ensembling JD source 10. 1.
14 7. 1. Seminar JD
courses/be4m33ssu/labs.txt · Last modified: 2020/12/14 16:34 by drchajan