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Labs and Seminars

Two types of tutorial classes will be proposed for the course:

  • practical labs in which we explain and discuss practical homework tasks. Students will implement selected methods discussed in the course and experiment with them.
  • seminars in which we discuss solutions of theoretical assignments (published a week before the class). Students are expected to work on them in advance.

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.
  • Please notice that you have to submit your code and your report (PDF). The homework will be assessed with zero points if any of the two is missing.

Lab/Seminar plan

Week Date Topic Teacher Materials Deadline/Notes
1 28. 9. — National Holiday — no assignments
2 5. 10. Seminar BF no assignments
3 12. 10. Seminar: lecture 1 VF/JP
4 19. 10. Seminar: lecture 2 VF/JP
5 26. 10. Seminar: lecture 3 VF/JP
6 2. 11. Seminar: lecture 3,4 VF/JP
7 9. 11. Lab: SO Perceptron VF/JP 7. 12.
8 16. 11. Seminar: Neural Networks JD/JP
9 23. 11. Lab: Neural Networks JD/JP 21. 12.
10 30. 11. Seminar: lecture 8 BF/JP
11 7. 12. Lab: EM algorithm BF/JP task data 09. 01.
12 14. 12. Seminar: lecture 9 BF/JP
13 21. 12. Seminar: lecture 10,11 BF/JP
14 11. 1. Seminar: Ensembling JD/JP
courses/be4m33ssu/labs.txt · Last modified: 2023/12/30 08:35 by drchajan