Kaisa_2012_3_photo by Veikko Somerpuro

NOTE THE ALTERNATIVE COMPLETION OF THE STUDY UNIT IN THE EXCEPTIONAL SITUATION IN SPRING 2020 :
Distant lectures and tutorial sessions over Zoom. Change in exam times, postponed to summer. More information in Moodle.

Enrol
9.2.2020 at 00:00 - 2.3.2020 at 23:59

Timetable

Here is the course’s teaching schedule. Check the description for possible other schedules.

DateTimeLocation
Mon 9.3.2020
14:15 - 15:45
Wed 11.3.2020
14:15 - 15:45
Fri 13.3.2020
14:15 - 15:45
Mon 16.3.2020
14:15 - 15:45
Tue 17.3.2020
14:15 - 15:45
Wed 18.3.2020
14:15 - 15:45
Fri 20.3.2020
14:15 - 15:45
Mon 23.3.2020
14:15 - 15:45
Wed 25.3.2020
14:15 - 15:45
Fri 27.3.2020
14:15 - 15:45
Mon 30.3.2020
14:15 - 15:45
Tue 31.3.2020
14:15 - 15:45
Wed 1.4.2020
14:15 - 15:45
Fri 3.4.2020
14:15 - 15:45
Mon 6.4.2020
14:15 - 15:45
Wed 8.4.2020
14:15 - 15:45
Tue 14.4.2020
14:15 - 15:45
Mon 20.4.2020
14:15 - 15:45
Wed 22.4.2020
14:15 - 15:45
Fri 24.4.2020
14:15 - 15:45
Mon 27.4.2020
14:15 - 15:45
Wed 29.4.2020
14:15 - 15:45
Mon 4.5.2020
14:15 - 15:45
Wed 6.5.2020
14:15 - 15:45
Fri 8.5.2020
14:15 - 15:45
Mon 11.5.2020
14:15 - 15:45
Fri 15.5.2020
14:15 - 15:45

Conduct of the course

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).

Description

This course is designed for all MSc in Agricultural Sciences students who are about to embark on their MSc (Gradu) project.

BSc degree or equivalent.

The course aims to provide students with an understanding of

  • the basics of designing experiments and research,
  • the fundamentals of statistical analysis of common research designs, and
  • the tight link between design and analysis

The learning outcome of the course is the ability of understanding and being able to apply the principles of scientific method and research design and analyses.

Period IV, first year of MSc studies.

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).

Textbook: van Emden, H.F. 2008. Statistics for Terrified Biologists. Oxford, UK: Blackwell.

Book about experimental design:

Ruxton, G.D. & Colegrave, N. 2016. Experimental Design for the Life Sciences (also older editions).

Books about SPSS:

Field, A. 2018. Discovering statistics using IBM SPSS statistics. Sage. SPSS (companion books R & SAS)

Responsible teachers:

Priit Tammeorg: plant and soil tutorials, statistical lectures, exams

Jarmo Valaja: animal sci tutorials, learning diaries and visiting lectures.

University lecturer Priit Tammeorg and Professor Jarmo Valaja

Replaces the former course 822091 (AGTEK401) Agroteknologian tutkimusmenetelmät I, 5-7 cr OR
822093 (AGTEK403) Agroteknologian tutkimusmenetelmät II, 5-7 cr OR
812098 (KTT407) Kokeiden suunnittelu ja analyysi, 2-5 cr.