Fundamentals of Mathematics and Natural Sciences 4 (5 cr)
Code: TX00DV70-3003
General information
- Enrollment
-
01.05.2023 - 31.05.2023
Registration for the implementation has ended.
- Timing
-
21.08.2023 - 15.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 4 cr
- Virtual portion
- 1 cr
- Mode of delivery
- On-campus and online
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 0 - 70
- Degree programmes
- Degree Programme in Energy and Environmental Technology
Implementation has 20 reservations. Total duration of reservations is 53 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 22.08.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Tue 29.08.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Tue 05.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC230
Oppimistila
|
Tue 12.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMA238.2
Oppimistila
|
Tue 19.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC230
Oppimistila
|
Tue 26.09.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC230
Oppimistila
|
Tue 03.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC345
Oppimistila
|
Tue 10.10.2023 time 13:00 - 16:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC230
Oppimistila
|
Tue 10.10.2023 time 14:00 - 16:00 (2 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 27.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 03.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 10.11.2023 time 08:00 - 09:00 (1 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC230
Oppimistila
|
Fri 10.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 17.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 24.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 01.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 01.12.2023 time 08:00 - 09:00 (1 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC345
Oppimistila
|
Fri 08.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 15.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
MMC314
IT-Tila
|
Fri 15.12.2023 time 08:00 - 09:00 (1 h 0 min) |
Matemaattis-luonnontieteelliset perusopinnot 4 TX00DV70-3003 |
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
N/A
Exam schedules
N/A
International connections
N/A
Completion alternatives
N/A
Student workload
Luennot ja IT-tehtävät, tentit 48 h
Laskuharjoitukset ja materiaalin itsenäinen opiskelu 66 h
Viikkokokeisiin valmistautuminen 20 h
Content scheduling
N/A
Further information
N/A
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.