Assignments
Weekly exercises are introduced here on Mondays. Students return their answers to www.peergrade.io by the end of the week (hand-in period). After this, each student grades 4 random other students' answers with detailed online form in peergrade.io during Monday and Tuesday (peer grading period). If a student receives inappropriate grading, she/he may "flag" it for TAs to check. Strongly conflicting gradings are also manually checked by TAs.
Report all results in a single, anonymous *.pdf -file and return it to peergrade.io. Include also any source code to the report (either in appendix or embedded in the answer). By anonymity it is meant that the report should not contain your name or student number. In addition to the correctness of the answers, the overall quality and clearness of the report is also evaluated.
The exercises are mostly solved using computer (Matlab, Python or R). Related demos for each exercise are available in GitHub (links in Materials section). Exercise help sessions are organised in Maari on Thursdays 12-16 and Fridays 10-12. Feel free to come and ask TAs or join forces with some friends (each student must answer individually though).
For those who are self studying or who miss several assignment hand-ins for a good reason, there is possibility to hand-in all assignments once in January.
- Bioassay with grid sampling
Metropolis and Stan for the Bioassay example.
- Linear model and hierarchical comparison of groups with Stan.
- Model assessment: LOO-CV for factory data with Stan
Old assignments from 2015 File PDF document
For reference, this pdf combines together all the exercises from the previous year 2015. There will be some changes this year so do not use these for your own answers.
The latest version of exercises will always be available from peergrade.io