SylabUZ
Nazwa przedmiotu | Design of experiments |
Kod przedmiotu | 06.9-WM-ZiIP-IJ-ANG-D-16_20 |
Wydział | Wydział Mechaniczny |
Kierunek | Management and Production Engineering |
Profil | ogólnoakademicki |
Rodzaj studiów | drugiego stopnia z tyt. magistra inżyniera |
Semestr rozpoczęcia | semestr zimowy 2020/2021 |
Semestr | 2 |
Liczba punktów ECTS do zdobycia | 5 |
Typ przedmiotu | obowiązkowy |
Język nauczania | angielski |
Sylabus opracował |
|
Forma zajęć | Liczba godzin w semestrze (stacjonarne) | Liczba godzin w tygodniu (stacjonarne) | Liczba godzin w semestrze (niestacjonarne) | Liczba godzin w tygodniu (niestacjonarne) | Forma zaliczenia |
Projekt | 30 | 2 | 18 | 1,2 | Zaliczenie na ocenę |
Wykład | 30 | 2 | 18 | 1,2 | Egzamin |
Knowledge of issues related to the planning of experiments, developing the ability to analyse the results of measurements, using statistical methods of analysis.
a course in mathematical statistics
Lecture:
Theoretical basis of experimental research - theory of the experiment. Identification and formulation of the problem. Selection of values characterising the object of the research. Determination of the research objective: determination of the object's function, verification of the significance of the influence of the input quantities on the output quantities. Determination of the test method: selection of the plan of the experiment, determination of the number of experiments and the number of repetitions.
Randomised plans: a complete, randomised block plan, the 'Graeco-Latin square' plan, and definite plans: total and fractional, two-level, three-level and multi-level.
Analysis of the results of measurements, statistical methods. Assessment of the significance of influence in simple comparative experiments - verification of statistical hypotheses, in single and multi-factorial experiments - analysis of variance. Approximation of the object's function and verification of the adequacy of the object's function and assessment of the significance of its parameters - regression analysis.
Project:
Design tasks are carried out using the STATISTICA software package. The measurement data and random data, provided by the operator, are used to solve problems in the field of analysis and the evaluation of samples, verification of statistical hypotheses, as well as analysis of variance and regression analysis.
Lecture: a conventional lecture
Project: a project implemented in groups or individually
Opis efektu | Symbole efektów | Metody weryfikacji | Forma zajęć |
Lecture: passing the exam
Project: passing the project
Final rating: the arithmetical mean of grades from individual classes.
Zmodyfikowane przez dr inż. Iwona Pająk (ostatnia modyfikacja: 27-04-2020 11:43)