Research and Development

Structure Type: Course
Code: KA01ATUKV10
Type: Compulsory
Level: Bachelor
Credits: 3.0 points
Responsible Teacher: Palander, Samu
Teacher Team: Rimpelä, Sari ; Latva-Reinikka, Anu
Language of Instruction: Finnish

Course Implementations, Planned Year of Study and Semester

Curriculum  Semester  Credits  Start of Semester  End of Semester
MAELINK-2015   2 spring   1.0   2017-01-01   2017-07-31  
MAELINK-2015   3 autumn   2.0   2017-08-01   2017-12-31  
MAELINK-2016   2 spring   1.0   2018-01-01   2018-07-31  
MAELINK-2016   3 autumn   2.0   2018-08-01   2018-12-31  

Learning Outcomes

Mathematical statistics

Understanding and competence to interpret ordinary (agricultural) statistical information and to process and present data. SPSS and Webropol basic skills

Information skills
- the student can use agricultural information sources independently
- the student can evaluate information critically
- the student can use information and apply the SeUAS instructions for writing work

Student's Workload

Mathematical statistics
- 52h, lectures 24h and self-access working 28h

Information skills
- 26 h, lectures 10 h and self-access working 16 h

Contents

Mathematical statistics
Basic statistical concepts; processing and presentation of quantitative data with SPSS; distribution and descriptive statistics and their interpretation; correlation and regression; the role of statistical analyses of data and the concept of statistical significance of difference.



Information skills
- agricultural databases and online information searches
- Evaluation, use and application of information

Mode of Delivery / Planned Learning Activities and Teaching Methods

Mathematical statistics
- Lectures and assignments

Information skills
- Lectures and assignments

Assessment Criteria

Mathematical statistics
Approved – Students have participated actively in contact learning. Approved assignments.

Information skills
Approved- Student can name some examples of headwords of the subject and know the basic use of data bases. He can mechanically use SeAMK's instruction of written work.

Assessment Methods

Mathematical statistics
- exercises, active participation

Infrormation skills
- written exercise, active participation

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