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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
Teachers
Eija Koriseva
Teacher in charge
Eija Koriseva
Course
TX00DV70

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
Changes to reservations may be possible.

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.

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