Responsible teachers:
Priit Tammeorg: plant and soil tutorials, statistical lectures, exams
Jarmo Valaja: animal sci tutorials, learning diaries and visiting lectures.

It is required to be present during 5 out of 9 visiting lectures (27.3.-11.5.), otherwise there is no requirement for being present in the sessions. Past experience though clearly shows that it helps a lot!

The 5 credit course grade (Pass/Fail) results from the following parts:

· Pre-course task (basis for grouping students for group tasks based on previous skills and type and availability of their MSc thesis data).

· Group exercises where each group demonstrates to class how certain statistical procedure can be conducted on group members’ actual data. Group tasks are preceded with video lecture on how to perform this task in SPSS and based on this + textbook, the group will have to prepare to demonstrate the solution to the task based on actual data. The presentations will occur during lectures 3, 4, 6, 10 and 11 and as groups are formed by teacher, it is advised to be prepared to be able to participate these sessions.

· Visiting lectures: lecture presence and learning diaries (Five LDs need to be Accepted out of nine topical lectures, marked blue in the schedule,

· 3 tutorial exercises. Tutorial teacher(s) explain how the students should have answered to the questions they had to submit before the session

· In class exam to those who failed the group exercises or tutorial tasks. The exam is not required for the students having already passed tutorials and group exercises.

To pass the course, it is required to have passed the Five LDs, group exercise and get at least 50% of points from the total from tutorials combined (or: exam).