Tilastomatematiikan peruskurssi (MATLE0005), 3 op

Basic information

Prerequisites

MATLE0111

Course contents (core content level)

-The idea of probability, product rule, conditional probability and independence
-Discrete and continuous distributions, density functions, cumulative distribution functions, measures of location and dispersion
-Statistics: Samples, sample average and variance, confidence intervals, hypothesis tests, statistical process control (SPC) and linear regression analysis

Course contents (additional)

- Nonlinear regression analysis

Core content level learning outcomes (knowledge and understanding)

After completion of this course the student is familiar with principals of both probability theory and statistics. Student has some idea of random events and modelling and is able to analyze the given results. Participant knows basics of tests and SPC and is able to use regression analysis in technical applications.

Core content level learning outcomes (skills)

Student uses fluently computer when problems described above are concerned.

Recommended reading

All the necessary material (written by the lecturer) can be found in the internet address, which is given to students in the beginning of the course. If student wants more support to studies, the suitable book is e.g.
Launonen, Sorvali, Toivonen: Teknisten ammattien matematiikka 3E , WSOY.

Teaching and learning strategies

Class room teaching: 42 h
Laboratory exercises: 14 h
Exams: 6 h
Student individual workload 18 h (student workload analysis is not carried out)
Total: 80 h

Teaching methods and student workload

Assessment weighting and grading

In order to pass the course (grade 1), student should get 40% (in all) of the total score in two individual tests . The ability to write Matlab code is also checked in tests. Homework activity has influence on the grade.

Related competences of the degree programme

Theoretical basis and mathematical and science skills