Course detail
Mathematics IV
FSI-4M-AAcad. year: 2024/2025
The course makes students familiar with descriptive statistics, random events, probability, random variables and vectors, probability distributions, random sample, parameters estimation, tests of hypotheses, and linear regression analysis. Seminars include solving problems and applications related to mechanical engineering. PC support is dealt with in the course entitled Statistical Software, which is optional.
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Offered to foreign students
Entry knowledge
Rules for evaluation and completion of the course
Seminar credit conditions:
- active attendance in practices
- sufficient or better of written exam
- admission of semester assignment.
Examination (written form) consists of two parts:
- a practical part – tasks from the covered topics. Total 0 to 80 points (with own summary of formulas)
- a theoretical part - 4 tasks related to basic notions, (their properties, sense and practical use); each theoretical question 0 to 5 points.
Evaluation: each task 0 to 20 points evaluation according to the total number of points from practical and theoretical part: excellent (90 - 100 points), very good (80 - 89 points), good (70 - 79 points), satisfactory (60 - 69 points), sufficient (50 - 59 points), failed (0 - 49 points).
Attendance at seminars is controlled and the teacher decides on the compensation for absences.
Aims
Students obtain the needed knowledge of the probability theory, descriptive statistics and mathematical statistics, which will enable them to understand and apply stochastic models of technical phenomena based upon these methods.
Study aids
Prerequisites and corequisites
Basic literature
Hahn, G. J. - Shapiro, S. S.: Statistical Models in Engineering.New York : John Wiley & Sons, 1994.
Montgomery, D. C. - Renger, G.: Applied Statistics and Probability for Engineers. New York : John Wiley & Sons, 2003.
Recommended reading
Meloun, M. - Militký, J.: Statistické zpracování experimentálních dat. Praha : Plus, 1994.
Seger, J. - Hindls, R.: Statistické metody v tržním hospodářství. Praha : Victoria Publishing, 1995.
Classification of course in study plans
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Exercise
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Computer-assisted exercise
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