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.