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Business Statistics
FBW125

Description
By means of the presented methods of descriptive statistics and the so-called quantitative methods of time series, correlation and regression calculation as well as the basics of inferential statistics, it is possible for the participants to prepare operational data of LOGISTICS in a meaningful way, i.e. to analyze, evaluate and forecast as well as to critically appreciate prepared data material. 

ECTS credits
5

Teaching Language
Deutsch

Exam Language
Deutsch

Support Materials Language
Deutsch

Basic Learning Outcomes
  • Resolution of mathematical problems in engineering such as linear algebra, differential algebra, differential and integral calculus, differential and partial differential equations, numerical methods and algorithms, optimization, probability and statistics
    (AE1 - IEB - Resolution of mathematical problems in engineering such as linear algebra, differential algebra, differential and integral calculus, differential and partial differential equations, numerical methods and algorithms, optimization, probability and statistics)
  • iAbility to identify, formulate, and solve complex engineering problems  in integrated production and service systems and supply chains by applying principles of engineering, science, and mathematics
    (AL1 - IEB - iAbility to identify, formulate, and solve complex engineering problems  in integrated production and service systems and supply chains by applying principles of engineering, science, and mathematics)
  • Ability to formulate and analyze needs objectives and constraints in complex manufacturing, logistics and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, simulation, statistics
    (BL3 - IEB - Ability to formulate and analyze needs objectives and constraints in complex manufacturing, logistics and service systems by comprehending and applying the basic tools of industrial engineering such as modeling and optimization, simulation, statistics)

Final Learning Outcomes

Course categorized

Managing Entity (faculty)