Antonio Sutera

Informations

• Updated guidelines for preparing the written exam (June 2019) are available at http://www.montefiore.ulg.ac.be/~lwh/Info/.
• Solutions for Ex 13 (c).

Slides

Additional slides

• Lecture 1 (7 Februrary): Outline.
• Lecture 3 (21 February): Guessing games.
• Lecture 6 (14 March): Intuitive approach of Kraft inequality and Huffman algorithm.
• Lecture 7 (21 March): Data compression algorithms.
• Lecture 10 (2 May): Graphical models.

Practicals

• Session 1 (7 February): Information measures.
• Session 2 (21 February): Algebra of information measure.
• Session 3 (7 March): Source coding.
• Session 4 (28 March): Data compression and summary exercises.
• Session 5 (9 May): Data compression, graphical models and summary exercises.

Projects

• Project 1 (due by 21/03): statement, additional files (sudoku.npy).
  Hint: You can open a numpy file (.npy) in Julia as follows:

  using NPZ
  sudoku = npzread("sudoku.npy")

• Project 2 (due by 02/05): statement, additional files (text sample, sound sample, image_compression.py).