Mathematics for Agronomists (3 cr)
Code: LMSB1200-3008
General information
- Enrollment
-
20.11.2023 - 21.01.2024
Registration for the implementation has ended.
- Timing
-
15.02.2024 - 07.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 1 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Blended learning
- Unit
- School of Technology
- Campus
- Institute of Bioeconomy
- Teaching languages
- Finnish
- Degree programmes
- Bachelor's Degree Programme in Agricultural and Rural Industries
Realization has 5 reservations. Total duration of reservations is 17 h 30 min.
Time | Topic | Location |
---|---|---|
Thu 07.03.2024 time 08:15 - 11:45 (3 h 30 min) |
Agrologin matematiikka LMSB1200-3008 |
TU17L117
Oppimistila
TU17L121 Oppimistila |
Thu 21.03.2024 time 08:15 - 11:45 (3 h 30 min) |
Agrologin matematiikka LMSB1200-3008 |
TU17L117
Oppimistila
|
Fri 12.04.2024 time 08:15 - 11:45 (3 h 30 min) |
Agrologin matematiikka LMSB1200-3008 |
TU17L117
Oppimistila
|
Thu 25.04.2024 time 08:15 - 11:45 (3 h 30 min) |
Agrologin matematiikka LMSB1200-3008 |
TU17L117
Oppimistila
|
Fri 26.04.2024 time 08:15 - 11:45 (3 h 30 min) |
Agrologin matematiikka LMSB1200-3008 TENTTI |
TU17L117
Oppimistila
|
Evaluation scale
0-5
Objective
Purpose of the course
The course will cover the basics of mathematics. After completing this course you are able to apply the mathematic skills to assignments of other courses and to solving authentic mathematical problems in working life.
Competenses
Knowledge of science
Learning outcomes
The student masters the basic mathematical methods and is able to use and apply them in natural resource assignments and authentic problems in working life
Content
Calculation tools and working methods
Formation and processing of equations
Percentage calculation and its applications
Multiples, powers and logarithms
Areas and volumes
Fundamentals of statistical methods
Teaching methods
Contact and online lectures, independent study, exercises, assignments
Completion alternatives
Alternative exam
Student workload
80 h
contact lessons 20 h
independent study and exercises in virtual learning environment
Assessment criteria, satisfactory (1)
Sufficient 1
The student knows the basic mathematical calculations
Satisfactory 2
The student knows basic mathematical calculations and partly applies them to typical mathematical problems in the field.
Assessment criteria, good (3)
Good 3
The student knows basic mathematical calculations and can apply them to typical mathematical problems in the field.
Very good 4
The student knows basic mathematical calculations and can apply them skillfully to typical mathematical problems in the field.
Assessment criteria, excellent (5)
Excellent 5
The student knows the basic mathematical calculations and can apply them skillfully to the challenging mathematical problems of the field.
Qualifications
-
Further information
Exam
Assignments