Quality control tools and statistical methodsLaajuus (5 cr)
Code: TE00BZ92
Credits
5 op
Objective
The aim of this course is to give the student
- practical knowledge on how to use software for statistical data analysis of measured data.
- an overview of seven basic quality tools (and one extra).
Content
- Data file formats and file reading.
- Data cleansing, outliers and missing data
- Graphical representation of data.
- Curve fitting and linear regression
- Sampling and descriptive statistics
- Statistical tests, Z-test, F-test and Student’s t-test
- Seven (eight) quality tools (histogram, check sheet, cause and effect diagram, Pareto chart, Scatter diagram, control chart, stratification, flow chart)
Qualifications
Basic mathematical skills are required.
Enrollment
12.01.2024 - 03.03.2024
Timing
15.01.2024 - 31.07.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Biotechnology and Chemical Engineering
Teachers
- Hannele Kuusisto
- Piritta Saipa
Groups
-
OSLELAS23
Objective
The aim of this course is to give the student
- practical knowledge on how to use software for statistical data analysis of measured data.
- an overview of seven basic quality tools (and one extra).
Content
- Data file formats and file reading.
- Data cleansing, outliers and missing data
- Graphical representation of data.
- Curve fitting and linear regression
- Sampling and descriptive statistics
- Statistical tests, Z-test, F-test and Student’s t-test
- Seven (eight) quality tools (histogram, check sheet, cause and effect diagram, Pareto chart, Scatter diagram, control chart, stratification, flow chart)
Evaluation scale
Hyväksytty/Hylätty
Qualifications
Basic mathematical skills are required.
Enrollment
02.12.2021 - 31.12.2021
Timing
01.01.2022 - 31.08.2022
Number of ECTS credits allocated
5 op
Virtual portion
3 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Degree programmes
- Lean ja laatu kehitystyössä korkeakouludiplomi
Teachers
- Taina Hovinen
- Hannele Kuusisto
Groups
-
DLELAK22
Objective
The aim of this course is to give the student
- practical knowledge on how to use software for statistical data analysis of measured data.
- an overview of seven basic quality tools (and one extra).
Content
- Data file formats and file reading.
- Data cleansing, outliers and missing data
- Graphical representation of data.
- Curve fitting and linear regression
- Sampling and descriptive statistics
- Statistical tests, Z-test, F-test and Student’s t-test
- Seven (eight) quality tools (histogram, check sheet, cause and effect diagram, Pareto chart, Scatter diagram, control chart, stratification, flow chart)
Evaluation scale
H-5
Qualifications
Basic mathematical skills are required.