Statistical Mathematics - TLXM3550

Statistical Mathematics, 5 cr - TLXM3550

Statistical Mathematics (TLXM3550-3001), 01.01.2021 – 31.05.2021,
5 cr (TLS19KM) — Face-to-face + -
Language of instruction

Finnish

Timing

01.01.2021 - 31.05.2021

Lecturer(s)

Pasi Lehtola

Planned learning activities, teaching methods and guidance

-lectures
-exercises
-self study
-distance learning
-learning tasks

Learning materials and recommended literature

Kuvataan oppimisympäristössä. Haetaan opintojaksolta. (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

The possible date and method of the exam will be announced in the course opening information and in the learning environment.

Learning assignments and student workload

One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.

Enrollment

04.01.2021 - 12.01.2021
Groups
- TLS19KM
Alternative learning methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Assessment methods

Avoin AMK: no limits

Campusonline: ?

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Statistical Mathematics (TLXM3550-3002), 01.01.2021 – 31.05.2021,
5 cr (TLS19S1) — Face-to-face + -
Language of instruction

Finnish

Timing

01.01.2021 - 31.05.2021

Lecturer(s)

Ida Arhosalo

Planned learning activities, teaching methods and guidance

Luennot etänä Zoomin välityksellä, harjoitukset tehdään päasiallisesti Excelillä. Muitakin työkaluja saa käyttää (esim laskin), mutta opetus nojaa Excel esimerkkeihin. Viikottain Optimassa tehtäviä tai Optimaan palautettavia harjoituksia. (not translated)

Learning materials and recommended literature

Oppimateriaali on Optimassa (verkko-oppimisympäristö). Tukena voi käyttää esimerkiksi teosta Holopainen, Pulkkinen: Tilastolliset menetelmät (not translated)

Campus

Main Campus

Exam dates and re-exam possibilities

Kurssi suoritetaan kahdella välikokeella. Molemmat välikokeet voi uusia Exam-studiossa. (not translated)

Learning assignments and student workload

Luennot 55-60h (+konsultaatiotunnit 0-14h), harjoitusten teko ja materiaalin itsenäinen opiskelu 61-80h (not translated)

Enrollment

04.01.2021 - 10.01.2021
Groups
- TLS19S1
Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Statistical Mathematics (TLXM3550-3004), 01.10.2020 – 31.05.2021,
5 cr (LOGAKTIIVI) — Online learning + -
Language of instruction

Finnish

Timing

01.10.2020 - 31.05.2021

Lecturer(s)

Pasi Lehtola

Planned learning activities, teaching methods and guidance

Independent study on-line

Learning materials and recommended literature

See the learning environment

Exam dates and re-exam possibilities

Agree with the teacher

Learning assignments and student workload

The nominal workload for a five.credit course is 135 hours.

Enrollment

01.10.2020 - 28.02.2021

Content scheduling

At your own pace
Groups
- LOGAKTIIVI
Alternative learning methods

Single exam

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr
Statistical Mathematics (TLXM3550-3005), 01.03.2021 – 30.08.2021,
5 cr (VAz21K1, ...) — Online learning + -
Language of instruction

Finnish

Timing

01.03.2021 - 30.08.2021

Lecturer(s)

Pasi Lehtola

Campus

Main Campus

Enrollment

01.03.2021 - 31.05.2021
Groups
- VAz21K1
- LOGAKTIIVI
Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Online learning

Share of virtual studies

5 cr
Show all (4) Hide

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.

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

The students can use the Excel program.

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.

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.

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.

Statistical Mathematics, 5 cr - TLXM3550

Upcoming implementations