|
Lecturer(s)
|
-
Tůmová Olga, Doc. Ing. CSc.
-
Netolický Petr, Ing. Ph.D.
-
Kupka Lukáš, Ing. Ph.D.
|
|
Course content
|
Lectures: 1) Descriptive statistics, point and interval estimates, missing values and outliers, determining the sample size 2) Testing data assumptions, statistical hypothesis testing, normality testing 3) Analysis of variance 4) Analysis of variance, correlation and regression analysis 5) Time series analysis 6) Use of neural networks for data analysis 7) Experimental work, models of experiments, phases of experiments Tutorials: 1) Introduction, descriptive statistics 2) Descriptive statistics, point and interval estimates 3) Testing of outliers and extremes 4) Testing data assumptions, statistical hypothesis testing 5) Statistical hypothesis testing 6) Testing normality and other distributions 7) Analysis of variance - 1 factor, 2 factors without interactions 8) Analysis of variance - 2 factors with interactions, multifactor ANOVA 9) Regression analysis, regression models 10) Time series analysis 11) Interpolation, approximation 12) Neural networks 13) Defense of semestral work, credit
|
|
Learning activities and teaching methods
|
Laboratory work, Lecture
- Contact hours
- 39 hours per semester
- Graduate study programme term essay (40-50)
- 40 hours per semester
|
| prerequisite |
|---|
| Skills |
|---|
| apply basic knowledges from probability and statistics |
| solve simple examples from the area of probability and statistics |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| use terms, terminology and strategy in experimental work |
| design and plan the experiment |
| Skills |
|---|
| realize a statistical analysis of the data |
| realize time series analysis |
| use artificial neural networks to evaluate measured data |
| Competences |
|---|
| N/A |
| N/A |
| teaching methods |
|---|
| Knowledge |
|---|
| Lecture |
| Skills |
|---|
| Seminar |
| Competences |
|---|
| Lecture |
| assessment methods |
|---|
| Knowledge |
|---|
| Oral exam |
| Skills |
|---|
| Seminar work |
| Oral exam |
| Competences |
|---|
| Oral exam |
|
Recommended literature
|
-
Dupač, Václav; Hušková, Marie. Pravděpodobnost a matematická statistika. 2., upr. vyd. Praha : Karolinum, 2013. ISBN 978-80-246-2208-8.
-
FRIEDRICH, V. Statistika II - vysokoškolská učebnice. Plzeň : ZČU, 2002.
-
Meloun, Milan; Militký, Jiří. Statistická analýza experimentálních dat. Vyd. 2., upr. rozš. Praha : Academia, 2004. ISBN 80-200-1254-0.
-
Montgomery, Douglas C. Design and analysis of experiments : international student version. 7th ed. Hoboken : John Wiley & Sons, 2009. ISBN 978-0-470-39882-1.
-
Tůmová, Olga. Metrologie a hodnocení procesů. 1. vyd. Praha : BEN - technická literatura, 2009. ISBN 978-80-7300-249-7.
|