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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
    Lean and Quality Expert

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
  • Diploma of Higher Education in Lean and Quality
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.