**Lecture notes**

- Lectures 1-2: Probability rules (Ch. 1) ps format and pdf format
- Lectures 3-5: Random variables (Ch. 2, 4, 5) ps format and pdf format
- Lectures 5-6: Joint distributions (Ch. 3, 4) ps format and pdf format
- Lectures 7-9: Parameter estimation (Ch. 7, 8) ps format and pdf format
- Lectures 9-10: Hypotheses testing (Ch. 9) ps format and pdf format
- Lectures 11-12: Linear regression and chi-square tests (Ch. 13.3-4, 14.1-2) ps format and pdf format
- Lectures 13-14: Decision theory and Bayesian inference (Ch. 15) ps format and pdf format
- Lecture 14: Course overview and a list of recomended exercises in the book ps format and pdf format

**Exercises**

- Problem sets: ps format and pdf format
- Home assignments: ps format and pdf format

**Bonus points**

at least 50 % gives 1 point

at least 80 % gives 2 points

**Grading system**

- An obligatory group (up to 3 students in a group) assignment
(click
**here**) is to be handed in by October 20 to Ilona Pylvänäinen. - The final exam is closed books, however,
up to
are allowed to be used on the exam. Final exam consists of 5-6 questions giving max 30 points in total. To pass the exam you have to collect at least 12 points (including eventual bonus points)*four A4 pages of one's own handwritten notes*

grade "3" points: between 12 and 16

grade "4" points: between 17 and 21

grade "5" points: between 22 and 30