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Course detail
FP-IBasPAcad. year: 2024/2025
The course deals with parametric and nonparametric tests, analysis of variance, categorical analysis, multivariate regression models, statistical process control methods and capability indices.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Offered to foreign students
Entry knowledge
Rules for evaluation and completion of the course
COURSE COMPLETION
The course-unit credit is awarded on the following conditions (max. 40 points):- preparation of semester assignments (the topic of the assignments will be specified during the semester).
The exam (max. 60 points)- has a written form with the possibility of using computer technology and consists of four computational examples and a theoretical question.
The grade, which corresponds to the total sum of points achieved (max 100 points), consists of:- points achieved in semester assignments (max. 40 points),- points achieved by solving examples (max. 51 points),- points achieved by answering theoretical questions (max. 9 points).
The grade and corresponding points:A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
Attendance at lectures is not mandatory but is recommended. Attendance at exercises is required and checked by the tutor. An excused absence of a student from seminars can be compensated for by submitting solution of alternate exercises.
COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY
Aims
The objective of the course is to learn students with basic principles of mathematical statistics, econometric models, categorical analysis, statistical process control methods and their use in management of company processes.Students will acquire the knowledge which allows them to use statistical methods at such a theoretical and practical level which allow them to process and perform correct data evaluation and develop the awareness and abilities of students to use statistical methods to manage of company processes.
Study aids
see Course literature.Study materials available on e-learning.
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
branch MGR-Z , 1 year of study, winter semester, elective
Lecture
Teacher / Lecturer
Syllabus
Exercise