Mathematics and statistics
| Structure Type: | Course |
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| Code: | KB02AMEMA7 |
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| Level: | Bachelor |
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| Credits: | 7.0 points |
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| Responsible Teacher: | Lassila, Hannu |
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| Language of Instruction: | Finnish |
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Learning Outcomes
Mathematics 4 cr: Students will have command of the mathematics needed in the field of forestry and economics. They will also be competent in utilising computers as a tool in solving mathematical problems. The purpose of the course is to supplement students' previous knowledge of mathematics, develop their logical thinking skills and ability to utilise mathematics as a tool to solve problems.
Statistics: Students will learn to critically interpret statistics and to present the results of their own work using diagrams and charts. They will be introduced to statistical research and be competent in utilising statistical methods in their studies and later in the workig world.
Student's Workload
Will be announced at the beginning of the course.
Prerequisites / Recommended Optional Courses
No previous studies are required.
Contents
- Review of basic mathematical functions
- Calculating percentages and interest
- Value-added tax
- Geometry
- Theory of equations
- Logarithms and exponent functions
- Mathematical modelling
- Computers as tools for solving mathematical problems
- Familiarisation with the various ways to present statistical information
- Interpretation of statistical data
- Phases and methods of statistical research
- Introduction to methods of statistical analysis
Recommended or Required Reading
- Textbooks for mathematics in the fields of technology and business.
- Karjalainen L. 2004 (or later edition). Tilastomatematiikka. Pii-Kirjat.
- Heikkilä T. 2004 (or later edition). Tilastollinen tutkimus. Edita.
- Holopainen M., Pulkkinen P. 2008. Tilastolliset menetelmät. WSOY.
- Other material as indicated during lectures.
- Computer programmes.
Mode of Delivery / Planned Learning Activities and Teaching Methods
- Lectures
- Assignments
- Calculations
Assessment Criteria
Grading will be announced during the course.
Assessment Methods
- Assignments
- Exams
Grading is based on a scale of 1 to 5.
Work Placement
None
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