Advanced AI Techniques - Exercises

Exercises will be made available on this page during the semester.

Exercise sheet number 6: corrected version (put online Fri, 16th Dec)

Exercise Sheet	Handed Out	Due
Exercise 1: PDF, Postscript	Tue, Nov 08	Tue, Nov 15
Exercise 2: PDF, Postscript	Tue, Nov 15	Tue, Nov 22
Exercise 3: PDF, Postscript	Tue, Nov 22	Tue, Nov 29
Exercise 4: PDF, Postscript	Tue, Nov 29	Tue, Dec 06
Exercise 5: PDF, Postscript	Tue, Dec 06	Tue, Dec 13
Exercise 6: PDF, Postscript	Wed, Dec 14	Tue, Dec 20
Exercise 7: PDF, Postscript	Tue, Dec 20	Tue, Jan 10
Exercise 8: PDF, Postscript	Tue, Jan 10	Tue, Jan 17
Exercise 9: PDF, Postscript	Tue, Jan 17	Tue, Jan 24
Exercise 10: PDF, Postscript	Wed, Jan 25	Tue, Jan 31
Exercise 11: PDF, Postscript	Tue, Jan 31	Tue, Feb 7
Exercise 12: PDF, Postscript	Mon, Feb 6	Tue, Feb 14
Exercise 13: PDF, Postscript	Mon, Mar 13	none

For exercise 7, you may want to use the c function code for generating a normal Gauss distribution.

For exercise 12, you may want to download the free solver lp_solve, e. g. from here.

Number 13 (only available as *.ps) gives you an impression of what you might expect in the exam. It will not be corrected. You can hand in and discuss solutions with Alexander Scivos on Monday, Apr 3, in his office (Building 52, room 0-023). Please call 203-8247.