Statistics and Probability (3 cr)
Code: TZVM6300-3004
General information
- Enrollment
-
01.11.2021 - 06.03.2022
Registration for the implementation has ended.
- Timing
-
07.03.2022 - 15.05.2022
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Main Campus
- Degree programmes
- Bachelor's Degree Programme in Energy and Environmental Technology
- Bachelor's Degree Programme in Mechanical Engineering
- 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 Information and Communications Technology
- Bachelor's Degree Programme in Purchasing and Logistics Engineering
- Teachers
- Ida Arhosalo
- Groups
-
TSA20SABachelor's Degree Programme in Electrical and Automation Engineering
-
TSA20SBBachelor's Degree Programme in Electrical and Automation Engineering
- Course
- TZVM6300
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
Lextue/Exercise session 2* 1,5h / week during weeks 10-15
Exam on week 16
Materials
Material in Moodle
Additional material:
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. Group assignments. Excel is applied with exercises.
Exam schedules
Exam on week 16. Resits in Exam studio during May.
Student workload
Lectures approx.15h, Exercise sessions approx 15h, Homework, group assignments and independent studying 50h
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 80-90%
Homework, group assignments 10-20%