Course detail
Mathematics II
FSI-9MA2 Acad. year: 2024/2025 Both semester
Graphic analysis. Stratification. Multi-vari analysis. Multidimensional regression analysis, ANOVA, Simple sorting, double sorting, interaction. Category analysis.
Language of instruction
Czech
Supervisor
Department
Entry knowledge
Rudiments of descriptive statistics, probability theory and mathematical statistics.
Rules for evaluation and completion of the course
Use of the above-mentioned statistical methods for solving specific problems. Specific problems are selected in agreement with the student. Student's area of study is preferred. The solved, calculated and elaborated tasks serve to evaluate the student.
Teaching is a form of consultation.
Aims
Familiarization of students with multidimensional data evaluation. Focused primarily on multidimensional regression analysis, ANOVA and categorical analysis with real-world applications in technical practice.
Students acquire needed knowledge from important parts of the probability theory and mathematical statistics, which will enable them to evaluate and develop stochastic models of technical phenomena and processes based on these methods.
The study programmes with the given course
Programme D-IME-P: Applied Mechanics, Doctoral, recommended course
Programme D-IME-K: Applied Mechanics, Doctoral, recommended course
Type of course unit
Lecture
20 hours, optionally
Syllabus
1. Graphic analysis.
2. Stratification.
3. Multi-vari analysis.
4. ANOVA.
5. Fixed and random effects model.
6. One-way analysis.
7. Two-way analysis.
8. Interaction.
9. Tukey's method
10 Scheffe's method.