Statistics and Probability (3 cr)
Code: TZVM6300-3020
General information
- Enrollment
-
20.11.2023 - 04.01.2024
Registration for the implementation has ended.
- Timing
-
01.01.2024 - 19.05.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Contact learning
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- English
- 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
-
TAR22S1Bachelor's Degree Programme in Automation and Robotics
- Course
- TZVM6300
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
Evaluation scale
0-5
Further information
Exam 80-90%
Homework10-20%
Student workload
Lessons approx 20h, Homework and independent studying 60h
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.
Exam schedules
The time of the Exam is informed on the first lesson.
Teaching language
en
Teaching methods
Lectures and exercise sessions. Independent studying with Moodle material. Excel is applied with exercises.
Location and time
Lextue/Exercise session 90min / week during weeks 3-14, Exam on week 15
Number of ECTS credits allocated
3
Qualifications
Basic use of spreadsheets
Content
Descriptive statistics
Fundamentals of probability theory
Statistical distributions
Linear regression and correlation
Using Excel in applications
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.