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Matemaattis-luonnontieteelliset perusopinnot 4 (5 cr)

Code: TX00DV70-3001

General information


Enrollment

03.05.2021 - 06.06.2021

Timing

23.08.2021 - 17.12.2021

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

Puhtaat ja älykkäät ratkaisut

Teaching languages

  • Finnish

Seats

0 - 100

Degree programmes

  • Energia- ja ympäristötekniikan tutkinto-ohjelma

Teachers

  • Ari Koistinen

Teacher in charge

Ari Koistinen

Groups

  • TXO19S1
    Energia- ja ympäristötekniikan tutkinto-ohjelma päivä
  • TXO20S1
    Energia- ja ympäristötekniikan tutkinto-ohjelma päivä
  • YMP19
    Energia- ja ympäristötekniikan tutkinto-ohjelma: Ympäristötekniikan pääaine

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

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.

Qualifications

No previous knowledge required.