Commercial mathematics and statistics (5 cr)

Code: TT00BA36-3006

General information

Enrollment: 06.04.2022 - 22.04.2022
Registration for the implementation has ended.

Timing: 29.08.2022 - 31.12.2022
Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 5 cr

Mode of delivery: Contact learning

Unit: Department of Electrical Engineering, Building Services and Material Technology

Campus: Mikkeli Campus

Teaching languages: Finnish

Seats: 20 - 40

Degree programmes: Degree Programme in Building Services Engineering

Teachers: Natalia Pääjärvi

Teacher in charge: Natalia Pääjärvi

Groups: TTMI20SP
Building Services Engineering, full-time studies

Course: TT00BA36

No reservations found for realization TT00BA36-3006!

Objective

1. You are able to use different kinds of percent applications of finance mathematics and the terms of interest, loan and index mathematics.

2. You are familiar with compiling, studying, modeling statistical information and with applying models related to statistics.

Content

How do you calculate interest on the loan and taxes in a business?
How do you calculate the profitability of investments?
What do different statistical terms mean?
What kind of estimations can you make based on a sample?

Evaluation

Based on the entry-level know-how and skills students can
a) use professional mathematical concepts proficiently in different situations.
b) evaluate information sources critically.
e) choose appropriate models and methods and justify these choices.

Course material

1. Luennot, harjoitukset ja muu luennoilla jaettava materiaali

2. Leila Karjalainen, Optimi, Pii-kirjat s. 1-122

3. Henttonen J., Peltomäki J., Uusitalo S. Tekniikan Matematiikka 1. Edita 2004 tai uudempi

4. Karjalainen L., Ruuskanen A.: Tilastomatematiikka. Pii-kirjat 1998 tai uudempi. Myös muita eri tilastomenetelmien ja todennäköisyyslaskennan oppikirjoja voi käyttää kuten
Leila Karjalainen ,Tilastotieteen perusteet, Pii-kirjat s. 1-165

Study forms and methods

Työjärjestyksen mukainen opetus, joka sisältää teoriatunteja. Itsenäinen opiskelu, harjoitustehtävät.

RDI and work-related cooperation

opintojaksolla ei tehdä TKI- tai työelämäyhteistyötä

Timing of exams and assignments

Opintojaksoon kuuluu 3 välikoetta.

Student workload

Kurssin työmäärä vastaa 5 opintopistettä eli 125 tuntia opiskelua.

Evaluation scale

1-5

Qualifications

Engineering mathematics 1 and 2