Mathematics for forestryLaajuus (5 cr)
Code: ME00DS75
Credits
5 op
Objective
You are able to analyse basic mathematical problems in your own professional field using equations, geometry, mathematical statistics and economics.
Content
What are the essential mathematical methods in forestry?
How do you update mathematical skills and learn new ones?
What are the essential methods in solving equations?
What are basic methods in geometry, mathematical statistics and economics and what are their applications in forestry?
Enrollment
05.08.2024 - 30.08.2024
Timing
01.08.2024 - 31.03.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Forestry and Environmental Technology
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
15 - 50
Degree programmes
- Degree Programme in Forestry
Teachers
- Pertti Kilpeläinen
Groups
-
MEMI24SPBForestry, full-time studies
-
MEMI24SPAForestry, full-time studies
Objective
You are able to analyse basic mathematical problems in your own professional field using equations, geometry, mathematical statistics and economics.
Content
What are the essential mathematical methods in forestry?
How do you update mathematical skills and learn new ones?
What are the essential methods in solving equations?
What are basic methods in geometry, mathematical statistics and economics and what are their applications in forestry?
Evaluation scale
1-5
Enrollment
07.08.2023 - 11.08.2023
Timing
30.10.2023 - 23.02.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Forestry and Environmental Technology
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
30 - 50
Degree programmes
- Degree Programme in Forestry
Teachers
- Pertti Kilpeläinen
Groups
-
MEMI23SPBForestry, full-time studies
-
MEMI23SPAForestry, full-time studies
Objective
You are able to analyse basic mathematical problems in your own professional field using equations, geometry, mathematical statistics and economics.
Content
What are the essential mathematical methods in forestry?
How do you update mathematical skills and learn new ones?
What are the essential methods in solving equations?
What are basic methods in geometry, mathematical statistics and economics and what are their applications in forestry?
Evaluation scale
1-5
Enrollment
08.08.2022 - 28.08.2022
Timing
31.10.2022 - 24.02.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Forestry and Environmental Technology
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Degree Programme in Forestry
Teachers
- Pertti Kilpeläinen
Teacher in charge
Pertti Kilpeläinen
Groups
-
MEMI22SPBForestry, full-time studies
-
MEMI22SPAForestry, full-time studies
Objective
You are able to analyse basic mathematical problems in your own professional field using equations, geometry, mathematical statistics and economics.
Content
What are the essential mathematical methods in forestry?
How do you update mathematical skills and learn new ones?
What are the essential methods in solving equations?
What are basic methods in geometry, mathematical statistics and economics and what are their applications in forestry?
Evaluation scale
1-5
Enrollment
09.08.2021 - 15.08.2021
Timing
01.11.2021 - 11.03.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Forestry and Environmental Technology
Campus
Mikkeli Campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Degree Programme in Forestry
Teachers
- Hannu Numminen
- Pertti Kilpeläinen
Teacher in charge
Pertti Kilpeläinen
Groups
-
MEMI21SPBForestry, full-time studies
-
MEMI21SPAForestry, full-time studies
Objective
You are able to analyse basic mathematical problems in your own professional field using equations, geometry, mathematical statistics and economics.
Content
What are the essential mathematical methods in forestry?
How do you update mathematical skills and learn new ones?
What are the essential methods in solving equations?
What are basic methods in geometry, mathematical statistics and economics and what are their applications in forestry?
Opiskelumateriaali
Osoitetaan tarkemmin opintojakson alussa löörnissä.
Opintojakoslla käytetään löörniin kertyvää kurssimateriaalia (teoria, videot, tehtävät, tehtävien ratkaisut). Opintojaksolla on oma kaavaluettelonsa, joka jaetaan kokeiseen mukaan. Muuten opiskelussa voi hyödyntää sopivaa matemaattista kirjallisuutta ja nettiaineistoa (ks. löörni).
Yksilölliset oppimisväylät
Työviikkopohjainen oppimisväylä:
Opintiojaksolle on valikoitu 4 metsätalousinsinöörikoulutuksen kannalta oleellista osakokonaisuutta. Matemaattisten perusongelmien analysointiin ja ratkaisuun perehdytään matematiikan A perustaitojen, B geometrian, C tilastomatematiikan ja D talousmatematiikan avulla.
Opintijakson sisällöt opiskelaaan kontaktopiskeluna ja itsenäisenä opiskeluna. Opintojakson koe jakaantuu kahteen osakokeeseen (koe1 ja koe 2), joiden yhteenlaskettu opistemääärä muodostaa opinoijakson perusarvioinnin. Toteutuksen aikana laskuharjoituksista kertyy arviointiin lisäpisteitä.
Tentit ja muut määräajat
Koe 1 (A matematiikan perusteet, B Geometria)
Koe 2 (C tilastomatematiikka, D talosumatematiikka)
Koeajankohdat tarkentuvat toteutuksen alkaessa (ks.löörni).
Opiskelijan työmäärä
Kontaktiopetus (luennot, tuntitehtävät, laskuharjoitukset) 60h
Itsenäinen opiskelu (teoriaan ja tehtäviin ennakkotutustuminen, tehtävin ja laskuharjoitusten ratkominen, kokeisiin valmistautumienn) 75h
Evaluation scale
1-5
Assessment methods and criteria
Koe 1 (50%)
Koe2 2 (50%)
Laskuharjoitukset lisäpisteinä (+10%)
As1 >=50/100, As2 >=60/100, As3 >=70/100, As4 >=80/100 ja As5 >=90/100