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Statistical Data Analysis and Experiment Design (5cr)

Code: TE00BT90-3001

General information


Enrollment
01.12.2021 - 24.01.2022
Registration for the implementation has ended.
Timing
01.01.2022 - 31.05.2022
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
0 cr
Virtual portion
5 cr
Mode of delivery
Distance learning
Teaching languages
Finnish
English
Teachers
Patric Granholm
Teacher in charge
Patric Granholm
Course
TE00BT90

Unfortunately, no reservations were found for the realization Statistical Data Analysis and Experiment Design TE00BT90-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.

Evaluation scale

H-5

Content scheduling

- Data file formats and file reading.
- Data cleansing, outliers and missing data
- Sampling and descriptive statistics
- Statistical tests, Z-test, F-test and Student’s t-test
- ANOVA
- Regression analysis
- Nonlinear curve fitting
- Measurement ranges
- Accuracy and error estimates
- One factor experiments
- Multifactor experiments

Objective

- Data file formats and file reading.
- Data cleansing, outliers and missing data
- Sampling and descriptive statistics
- Statistical tests, Z-test, F-test and Student’s t-test
- ANOVA
- Regression analysis
- Nonlinear curve fitting
- Measurement ranges

Materials

To be announced later

Teaching methods

Online studies

Student workload

Self study 120 h
Guided study 15 h

Evaluation methods and criteria

Assignments

Failed (0)

< 50 % of the scores

Assessment criteria, satisfactory (1-2)

50 - 75 % of the scores

Assessment criteria, good (3-4)

75 - 90 % of the scores

Assessment criteria, excellent (5)

> 90 % of the scores

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