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 % Face-to-face, 40 % Online 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
-
TLS20KMBachelor's Degree Programme in Logistics
Objectives
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.
Learning materials and recommended literature
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
Evaluation criteria, satisfactory (1-2)
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.
Evaluation criteria, good (3-4)
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.
Evaluation 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.
Prerequisites
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
Online 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
-
ZJA21STAvoin AMK, tekniikka
-
LOGAKTIIVILogistiikan aktiivitoteutukset
Objectives
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.
Learning materials and recommended literature
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 dates and retake possibilities
Sovi opettajan kanssa.
Alternative completion methods
Kurssin voi suorittaa myös pelkällä näyttökokeella.
Student workload
Viiden opintopisteen kurssi vastaa 135 tunnin laskennallista työkuormaa
Content scheduling
Omaan tahtiin.
Further information for students
Avoin AMK: ei rajoituksia
Evaluation scale
0-5
Evaluation criteria, satisfactory (1-2)
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.
Evaluation criteria, good (3-4)
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.
Evaluation 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.
Prerequisites
The students can use the Excel program.