Fundamentals of Mathematics and Natural Sciences 4 (5 ECTS)
Code: TX00DV70-3004
General information
- Enrollment
- 01.05.2024 - 31.05.2024
- Registration for the implementation has ended.
- Timing
- 19.08.2024 - 20.12.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 5 ECTS
- Virtual portion
- 1 ECTS
- Mode of delivery
- On-campus and online
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 0 - 60
- Degree programmes
- Degree Programme in Energy and Environmental Technology
Implementation has 16 reservations. Total duration of reservations is 48 h 0 min.
Time | Topic | Location |
---|---|---|
Mon 19.08.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 26.08.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 02.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 09.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 16.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 23.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 30.09.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 07.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 21.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 28.10.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 04.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 11.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 18.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 25.11.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 02.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Mon 09.12.2024 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3004 |
MMC345
Oppimistila
|
Objective
The student is able to apply basic rules of probability in simple applications. The student can list the most important discrete and continuous distributions. The student can explain the meaning of a confidence interval and can apply it in statistical reasoning. The student recognizes the most common statistical tests and can apply them in problems of energy and environmental engineering. The student is able to apply the principle of least squares in regression analysis. The student can use selected programs in statistical analyses.
Content
-Different concepts of probability and basic rules for calculating probabilities
-Random variables and their most common distributions
-Confidence intervals and statistical reasoning using confidence intervals
-Statistical tests and their applications
-Regression analysis and its applications
-Using programs for statistical analyses
Location and time
N/A
Materials
N/A
Teaching methods
N/A
Employer connections
-
Exam schedules
N/A
International connections
-
Completion alternatives
-
Student workload
N/A
Content scheduling
N/A
Further information
-
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student recognizes the fundamental concepts and methods introduced in the course, and can solve simple problems.
Assessment criteria, good (3)
The student can apply the fundamental concepts and methods introduced in the course to simple scientific or technical problems.
Assessment criteria, excellent (5)
The student can apply the fundamental concepts and methods introduced in the course to more advanced scientific or technical problems.
Assessment criteria, approved/failed
The student recognizes the fundamental concepts and methods introduced in the course, and can solve simple problems.
Assessment methods and criteria
N/A
Qualifications
No previous knowledge required.