Weekly outline

  • General

    The course is officialy held in English.

    Lectures start on Wednesday, 3rd of October at 14:15 in PR20. Laboratory exercises start one week after the lectures.

    Laboratory exercises include six separate exercises, for each you have about two weeks time. The result of each exercise is source code that is submitted on Učilnica and presented in classroom to the assistant. Defending each exercise is only possible during the designated deadline week for that exercise (see introductory slides for laboratory exercises). To pass the practical part of the course you have to successfully present all six exercises. This is a requirement to attend the exam. In case you cannot present your work during the designated week you can do it one week later with a penalty factor of 0.75. In rare cases where you cannot present even then (long illness, vacation, etc.) you can present the work for a single exercise at the end of the semester (the Joker week). It is also important that you present your work only during the laboratory cycle that you have been assigned to.

    Laboratory exercises are done in Matlab/Octave environment (you also need Image Processing Toolbox and Statistics Toolbox) and Python. If you are not familiar with Matlab/Octave, check the crash course document on specifics and pay extra care during introductory laboratory exercises.

    Course literature:

    • Lecture slides, lecture notes
    • C. D. Manning, P. Raghavan, H. Schütze, "Introduction to Information Retrieval", Cambridge University Press. 2008. accessible here: http://nlp.stanford.edu/IR-book/
    • Richard Szeliski,"Computer Vision: Algorithms and Applications", accessible here: http://szeliski.org/Book/.
    • Bimbo, del, A. "Visual Information Retrieval", Morgan Kauffman, 1999
  • 1 October - 7 October

    • 8 October - 14 October

      • 15 October - 21 October

        • 22 October - 28 October

          • 29 October - 4 November

            • 5 November - 11 November

              • 12 November - 18 November

                • 19 November - 25 November

                  • 26 November - 2 December

                    • 3 December - 9 December

                      • 10 December - 16 December

                        • 17 December - 23 December

                          Last lectures (there will be no lectures in 2019).
                          • 24 December - 30 December

                            Lectures canceled due to holidays.

                            • 31 December - 6 January

                              Lectures canceled due to holidays.

                              • 7 January - 13 January

                                No more lectures.

                                • 14 January - 20 January

                                  No more lectures.