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Course detail
FP-masKAcad. year: 2022/2023
The course deals with main ideas and methods of mathematical statistics, evaluation and checking the production process with methods of statistical process control and process capability index, determination of the characteristics of acceptance sampling and inventory management, basic concepts and methods of solving matrix games.
Basic contents:
Random variable, mathematical statistics, statistical process control, capability index, statistical acceptance sampling, inventory management, matrix games.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Students will gain knowledge of mathematical statistics, will be able to evaluate and control the production process with methods of statistical process control and process capability index, to evaluate the characteristics of acceptance sampling and inventory management, to analyze conflicting decision situations.
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Teaching consists of lectures that have an explanation of basic principles and methodology of the discipline, pratical problems and their sample solutions.
Assesment methods and criteria linked to learning outcomes
The course-unit credit is awarded on the following conditions
Exam (max. 100 points)
Seminar work during the semester 40 points
Final written or oral exam 60 points
Grades and corresponding points: A (100-90), B (89-80), C (79-70), D (69-60), E (59-50), F (49-0).
COMPLETION OF THE COURSE FOR STUDENTS WITH INDIVIDUAL STUDY Exam (max. 100 points)
Course curriculum
Topics of lectures are the following:
- Random Variables
- Data Samples
- Parametric tests of hypotheses
- Non-parametric tests of hypotheses
- Statistical Process Control
- Process Capability Index
- Acceptance Sampling
- Inventory Management
- Matrix Games
Work placements
Aims
The objective of the course is to learn students to work with the random variables, to work with statistical data sets, to use methods of statistical process control, process capability indexes, acceptance sampling, inventory management and analyze conflicting decision situations.
Specification of controlled education, way of implementation and compensation for absences
Attendance at lectures is not mandatory but is recommended.
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
Guided consultation in combined form of studies
Teacher / Lecturer
Syllabus