Statistics and Probability (TZVM6300)

Statistics and Probability, 3 cr - TZVM6300

Statistics and Probability (TZVM6300-3005), 09.01.2023 – 19.05.2023,
3 cr (TLS21S1) — Face-to-face + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Ida Arhosalo

Planned learning activities, teaching methods and guidance

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

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Campus

Main Campus

Exam dates and re-exam possibilities

Exam on week 15.

Learning assignments and student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Enrollment

01.11.2022 - 05.01.2023
Groups
- TLS21S1
Small groups
- TLS21SA (: 35. : 0.)
- TLS21SB (: 35. : 0.)
Seats

0 - 55

Assessment methods

Exam 80-90%

Homework, group assignments 10-20%

Degree Programme

Bachelor's Degree Programme in Logistics

Mode of delivery

Face-to-face

Unit

School of Technology
Statistics and Probability (TZVM6300-3006), 09.01.2023 – 19.05.2023,
3 cr (TLP23VK, ...) — Face-to-face + -
Language of instruction

English

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Ida Arhosalo

Planned learning activities, teaching methods and guidance

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

Learning materials and recommended literature

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

Campus

Main Campus

Exam dates and re-exam possibilities

Exam on week 15.

Learning assignments and student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Enrollment

01.11.2022 - 05.01.2023
Groups
- TLP23VK
- TLP22VS
- TLP21S1
Seats

0 - 30

Assessment methods

Exam 80-90%

Homework, group assignments 10-20%

Degree Programme

Bachelor's Degree Programme in Purchasing and Logistics Engineering

Mode of delivery

Face-to-face

Unit

School of Technology
Statistics and Probability (TZVM6300-3009), 09.01.2023 – 19.05.2023,
3 cr (LOGRAKVERKKO) — Online learning + -
Language of instruction

Finnish

Timing

09.01.2023 - 19.05.2023

Lecturer(s)

Ida Arhosalo

Planned learning activities, teaching methods and guidance

Lectures and exercise sessions. Independent studying with Moodle material.

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Campus

Main Campus

Exam dates and re-exam possibilities

Loppukoeajankohdat ilmoitetaan kurssin työtilassa. (not translated)

Learning assignments and student workload

81h

Enrollment

01.11.2022 - 05.01.2023
Groups
- LOGRAKVERKKO
Seats

0 - 5

Assessment methods

Exam 80-90%

Homework 10-20%

Degree Programme

Bachelor's Degree Programme in Logistics, Bachelor's Degree Programme in Construction and Civil Engineering

Mode of delivery

Online learning

Share of virtual studies

3 cr

Unit

School of Technology
Statistics and Probability (TZVM6300-3010), 09.01.2023 – 30.04.2023,
3 cr (TSA21SA) — Face-to-face + -
Language of instruction

Finnish

Timing

09.01.2023 - 30.04.2023

Lecturer(s)

Ida Arhosalo

Planned learning activities, teaching methods and guidance

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

Learning materials and recommended literature

Material in Moodle
Additional material:
9789526329796 Nummenmaa, L., Holopainen, M. & Pulkkinen, P. (2017) Tilastollisten menetelmien perusteet. Helsinki: Sanoma Pro

Campus

Main Campus

Exam dates and re-exam possibilities

Exam on week 15.

Learning assignments and student workload

Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h

Enrollment

01.11.2022 - 05.01.2023
Groups
- TSA21SA
Seats

0 - 55

Assessment methods

Exam 80-90%

Homework, group assignments 10-20%

Degree Programme

Bachelor's Degree Programme in Electrical and Automation Engineering

Mode of delivery

Face-to-face

Unit

School of Technology
Statistics and Probability (TZVM6300-3012), 09.01.2023 – 30.04.2023,
3 cr (TSA21SB) — Face-to-face + -
Language of instruction

Finnish

Timing

09.01.2023 - 30.04.2023

Lecturer(s)

Ida Arhosalo

Campus

Main Campus

Enrollment

01.11.2022 - 05.01.2023
Groups
- TSA21SB
Degree Programme

Bachelor's Degree Programme in Logistics, Bachelor's Degree Programme in Construction and Civil Engineering, Bachelor's Degree Programme in Electrical and Automation Engineering, Bachelor's Degree Programme in Energy and Environmental Technology, Bachelor's Degree Programme in Mechanical Engineering, Bachelor's Degree Programme in Information and Communications Technology, Bachelor's Degree Programme in Purchasing and Logistics Engineering

Mode of delivery

Face-to-face

Unit

School of Technology
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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.

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

Basic use of spreadsheets

0-5

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.

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.

Statistics and Probability, 3 cr - TZVM6300

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