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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 5.10. none
2 12.10. Seminar BF
3 19.10. Seminar VF
4 26.10. Seminar VF
5 2.11. Lab: SVMs VF 30.11.
6 9.11. Seminar JD
7 16.11. Lab: Neural Networks JD 17.12
8 23.11. Seminar BF
9 30.11. Lab: EM algorithm BF 28.12
10 7.12. Seminar BF
11 14.12. Lab: Structured output SVMs VF 11.1.
12 21.12. Seminar BF
13 4.1. Lab: Ensembling JD 16.1.
14 11.1. Seminar JD
courses/be4m33ssu/labs.txt · Last modified: 2018/01/03 20:41 by drchajan