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Statistics and Probability (3cr)

Code

General information


Enrollment
17.11.2025 - 08.01.2026
Registration for the implementation has begun.
Timing
12.01.2026 - 30.04.2026
The implementation has not yet started.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Main Campus
Teaching languages
English
Seats
20 - 30
Degree programmes
Bachelor's Degree Programme in Purchasing and Logistics Engineering
Teachers
Ida Arhosalo
Groups
TLP24S1
Bachelor's Degree Programme in Purchasing and Logistics Engineering
TLP26VK
Bachelor's Degree Programme in Purchasing and Logistics Engineering (AMK) vaihto-opiskelu/Exchange studies
Course
TZVM6300

Realization has 12 reservations. Total duration of reservations is 18 h 0 min.

Time Topic Location
Tue 13.01.2026 time 12:15 - 13:45
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Wed 14.01.2026 time 11:15 - 12:45
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B116 IT-tila
Tue 20.01.2026 time 11:30 - 13:00
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B116 IT-tila
Wed 21.01.2026 time 11:30 - 13:00
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Tue 27.01.2026 time 13:15 - 14:45
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Thu 29.01.2026 time 09:00 - 10:30
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Tue 03.02.2026 time 13:15 - 14:45
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Thu 05.02.2026 time 09:30 - 11:00
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Tue 10.02.2026 time 13:15 - 14:45
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Thu 12.02.2026 time 09:00 - 10:30
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B115 IT-tila
Tue 17.02.2026 time 14:45 - 16:15
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B116 IT-tila
Wed 18.02.2026 time 09:00 - 10:30
(1 h 30 min)
Statistics and Probability TZVM6300-3031
R35B116 IT-tila
Changes to reservations may be possible.

Evaluation scale

0-5

Objective

The goal of the course
You will learn to process and analyse statistical data in order to make right decisions in working life. You will learn to calculate probabilities of different events or risks and to study statistical dependence found in the data.

Course competences
Knowledge and understanding (EUR-CE KN)

Learning outcomes
You know basic concepts and and methods of probability and statistics. You can analyze statistical data, make forecasts and study statistical relationships. You can calculate probabilities of events and evaluate risks. You know random variables, statistical distributions and the expectation value. You can use Excel in applications.

Content

Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications

Location and time

Lecture/Exercise session 2*90min / week

Materials

Material in Moodle
Additional material:
Johnson, R. (2008) Miller and Freund’s Probability and Statistics for Engineers
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Teaching methods

Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.

Exam schedules

Exam is in Exam studio.

Student workload

Lessons approx 25h, Homework and independent studying 55h

Assessment criteria, satisfactory (1)

Adequate 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

Basic use of spreadsheets

Further information

Exam 80-100%
Homework 0-20%
Details in Moodle workspace

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