Statistics
Statistik
6 CPWinterEN
Prerequisites
Recommended, as written
Knowledge of subject matters from the modules • 11110: Mathematics of Engineering I • 11111: Mathematics of Engineering II
Contents
Introduction to fundamentals of probability theory and mathematical statistics: random variables and their distributions (discrete and continuous), limit theorems, laws of large number, point and interval estimations, significance tests (parametric as well as non-parametric for one or two samples), correlation and regression analysis
Learning outcomes
• Aquirement of basic knowledge and skills in Probability Theory and Mathematical Statistics • Qualifying for solving typical problems from engineering using statistical methods and for critical interpretation of results of statistical investigation The lectures give theoretical fundamentals and explain them at typical examples from engineering. Exercises aim to deepen this knowledge and to apply it at further typical situations. Homework sheets, to be solved independently, serve for further consolidation, deeepening and enhancement of lecture and exercise contents.
Assessment
Prerequisite: • Successful completion of homework Final module examination: • Written examination, 90 min. or oral examination, 30 min. + preparation time The type (written or oral) will be anounced at the beginning of the lecture period.
Literature (6)
- Smith, P. J. : Into Statistics, Springer (Singapore) 1998
- Montgomery, D. C./ Runger, G. C.: Applied Statistics and Probability for Engineers, John Wiley Sons,
- Inc. 1994
- Frank, H./ Althoen, S. C.: Statistics, Concepts and Applications, Cambridge University Press 1994
- McClave, J. T.: A First Course in Business Statistics, Prentice Hall 2001
- McClave, J. T./ Sincich, T. L.: A First Course in Statistics, Prentice Hall 2002
Remarks
• Study programme Artificial Intelligence M.Sc.: Compulsory elective module in the complex „Advanced Methods“
Source: BTU's module description · retrieved 28 Sep 2026Original