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Statistical MathematicsLaajuus (5 cr)

Code: TLXM3550

Credits

5 op

Responsible person

  • Ida Arhosalo

Objective

The students master the concepts and methods included in statistics and probability theory and they can apply them in solving working life related problems by using a computer. The students can handle statistical material and on the grounds of it they are able to estimate risks, make decisions and forecasts.

Content

Basics of mathematical statistics and probability theory; statistical decision making; estimation and tests of hypothesis ; regression analysis; time series analysis; use of computer programs.

Qualifications

The students can use the Excel program.

Assessment criteria, satisfactory (1)

Sufficient 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Assessment criteria, good (3)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly.
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Assessment criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Enrollment

01.11.2021 - 09.01.2022

Timing

10.01.2022 - 20.05.2022

Number of ECTS credits allocated

5 op

Virtual portion

2 op

Mode of delivery

60 % Contact teaching, 40 % Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Pasi Lehtola
Teacher in charge

Ida Arhosalo

Groups
  • TLS20KM
    Bachelor's Degree Programme in Logistics

Objective

The students master the concepts and methods included in statistics and probability theory and they can apply them in solving working life related problems by using a computer. The students can handle statistical material and on the grounds of it they are able to estimate risks, make decisions and forecasts.

Content

Basics of mathematical statistics and probability theory; statistical decision making; estimation and tests of hypothesis ; regression analysis; time series analysis; use of computer programs.

Materials

Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2019) Tilastollisten menetelmien perusteet. SanomaPro
Holopainen, M., Pulkkinen, P. (2012) Tilastolliset menetelmät. SanomaPro
Heikkilä, T. (2014) Tilastollinen tutkimus. Edita

Teaching methods

Monimuotototeutuksen kontaktiopetus tapahtuu mikroluokassa ja sisältää harjoittelua tietokoneella. Itsenäisesti etäopiskelemalla omaksutaan tietoperusta ennen harjoittelua. Osaaminen saavutetaan soveltavilla oppimistehtävillä.

Student workload

Kontaktiopetus noin 30 h
Itsenäinen opiskelu noin 40 h
Harjoitustehtävät noin 50 h
Kokeeseen valmistautuminen noin 10 h

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Sufficient 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Assessment criteria, good (3)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly.
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Assessment criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Qualifications

The students can use the Excel program.

Enrollment

02.08.2021 - 31.05.2022

Timing

02.08.2021 - 31.08.2022

Number of ECTS credits allocated

5 op

Virtual portion

5 op

Mode of delivery

Distance learning

Unit

School of Technology

Campus

Main Campus

Teaching languages
  • Finnish
Seats

0 - 30

Degree programmes
  • Bachelor's Degree Programme in Logistics
Teachers
  • Pasi Lehtola
Teacher in charge

Pasi Lehtola

Groups
  • ZJA21ST
    Avoin AMK, tekniikka
  • LOGAKTIIVI
    Logistiikan aktiivitoteutukset

Objective

The students master the concepts and methods included in statistics and probability theory and they can apply them in solving working life related problems by using a computer. The students can handle statistical material and on the grounds of it they are able to estimate risks, make decisions and forecasts.

Content

Basics of mathematical statistics and probability theory; statistical decision making; estimation and tests of hypothesis ; regression analysis; time series analysis; use of computer programs.

Materials

Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2019) Tilastollisten menetelmien perusteet. SanomaPro
Holopainen, M., Pulkkinen, P. (2012) Tilastolliset menetelmät. SanomaPro
Heikkilä, T. (2014) Tilastollinen tutkimus. Edita

Teaching methods

Itsenäinen verkko-opiskelu, joka perustuu arvioitaviin oppimistehtäviin ja loppukokeeseen.

Exam schedules

Sovi opettajan kanssa.

Completion alternatives

Kurssin voi suorittaa myös pelkällä näyttökokeella.

Student workload

Viiden opintopisteen kurssi vastaa 135 tunnin laskennallista työkuormaa

Content scheduling

Omaan tahtiin.

Further information

Avoin AMK: ei rajoituksia

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Sufficient 1
You have achieved the desired goals. You know a few of the concepts and methods and how to apply them in familiar situations but your reasoning is often deficient and you make mistakes in calculations.
Satisfactory 2
You have achieved the desired goals. You know many of the concepts and methods and how to apply them in familiar situations but your reasoning is sometimes deficient or you make mistakes in calculations.

Assessment criteria, good (3)

Good 3
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in familiar situations showing often the ability to reason completely and calculate flawlessly.
Very good 4
You have achieved the desired goals. You know most of the concepts and methods and how to apply them in new situations showing in most cases the ability to reason completely and calculate flawlessly.

Assessment criteria, excellent (5)

Excellent 5
You have achieved the desired goals. You know all the concepts and methods and how to apply them in new situations showing always the ability to combine things, reason completely and calculate flawlessly.

Qualifications

The students can use the Excel program.