Module offerings

• Einführung in die Statistik (Introduction to Statistics)

  0171dA1.6
  learning objectives: Students gain basic knowledge of information reduction when dealing with one-dimensional and multidimensional data on ... read more

  learning objectives:
  Students gain basic knowledge of information reduction when dealing with one-dimensional and multidimensional data on different measurement levels (“descriptive statistics”). Students also learn how to use the tools of probability theory to deal with the randomness of statistical information. Based on the concept of probability, students learn to derive the concept of random variables. In addition to learning about basic concepts and definitions, students also learn how to describe important distribution models. Students also use software to display central statistical concepts, such as the dispersion of results within a distribution model. They learn to process simple statistical analyses themselves using a computer. The module integrates intercultural and international diversity as a cross-sectional topic that students should be aware of when it comes to research methods and evaluations.
  
  

  course content:
  One-dimensional and multidimensional empirical distribution, principles of probability theory, random variables, ratios and indices, discrete distribution models.
  
  

  language of instruction:
  German/English
  
  workload
  180 hours (6 ECTS)
  
  duration / frequency
  one semester / every summer semester

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  • 10120401 Lecture
    Introduction to Statistics (V) (Ulrich Schneider)
    Schedule: Mo 14:00-16:00 (Class starts on: 2024-04-15)
    Location: HFB/A Hörsaal (Garystr. 35-37)
    
  • 10120402 Practice seminar
    Introduction to Statistics (Ü) (Lisa Hanzl)
    Schedule: Do 14:00-16:00 (Class starts on: 2024-04-18)
    Location: HFB/A Hörsaal (Garystr. 35-37)
    
  • 10120405 Tutorial
    Introduction to Statistics (T) (Tutor*innen)
    Schedule: Mo 16:00-18:00, Di 10:00-12:00, Mi 12:00-14:00, Do 08:00-10:00 (Class starts on: 2024-04-15)
    Location: Mo HFB/A Hörsaal (Garystr. 35-37), Mo HFB/C Hörsaal (Garystr. 35-37), Di HFB/A Hörsaal (Garystr. 35-37), Mi HFB/A Hörsaal (Garystr. 35-37), Do HFB/A Hörsaal (Garystr. 35-37), Do HFB/C Hörsaal (Garystr. 35-37), Do Hs 108 Hörsaal (Garystr. 21)
    

• Einführung in die Ökonometrie (Introduction to Econometrics)

  0171dB2.1
  learning objectives: Students learn to quantify and verify economic behavioral equations using statistical methods and observational data. ... read more

  learning objectives:
  Students learn to quantify and verify economic behavioral equations using statistical methods and observational data. They learn to describe and apply the basic methods of regression analysis including testing parameters. Through a trained understanding of econometric models, they can also identify the effects of deviating or violating models on estimates and regression parameter tests and develop appropriate strategic solutions. By including a practical computational exercise, students learn to perform regression analyses by themselves and interpret the results appropriately. Another important objective is to use student diversity as a resource and make a conscious effort to include it in the students’ daily life.
  
  

  course content:
  Fundamental methods of econometrics, for example: The classical linear regression model, parameter estimation with the least squares method, confidence ranges and parameter tests, modeling structural breaks and season, heteroscedasticity, and autocorrelation of residuals.
  
  

  language of instruction:
  German / English
  
  workload
  180 hours (6 ECTS)
  
  duration / frequency
  one semester / irregular

  close
  • 10121201 Lecture
    Introduction to Econometrics (V) (Dieter Nautz)
    Schedule: Mo 10:00-12:00 (Class starts on: 2024-04-15)
    Location: Hs 105 Hörsaal (Garystr. 21)
    
  • 10121226 Methods Tutorial
    Introduction to Econometrics (Ü1) (Michael Tran Xuan)
    Schedule: Di 12:00-14:00 (Class starts on: 2024-04-16)
    Location: Hs 105 Hörsaal (Garystr. 21)
    
  • 10121202 Practice seminar
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Mi 10:00-12:00 (Class starts on: 2024-04-17)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    
  • 10121202a Practice seminar
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Mi 12:00-14:00 (Class starts on: 2024-04-17)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    
  • 10121202b Practice seminar
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Do 10:00-12:00 (Class starts on: 2024-04-18)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    
  • 10121202c Practice seminar
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Do 12:00-14:00 (Class starts on: 2024-04-18)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    
  • 10121202d Practice seminar Cancelled
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Fr 12:00-14:00 (Class starts on: 2024-04-19)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    
  • 10121202e Practice seminar Cancelled
    Introduction to Econometrics (Ü2) (Michael Tran Xuan)
    Schedule: Fr 10:00-12:00 (Class starts on: 2024-04-19)
    Location: K 006b PC-Pool 2 (Garystr. 21)
    

• Modules w/o courses in this semester

  4 Modules
  • Mathematics (for Students of Business and Economics) 0171dA1.5
  • Schließende Statistik (Inferential Statistics) 0171dA1.7
  • Introduction to Time-Series Analysis 0171dB2.3
  • Einführung in die Mikroökonometrie (Introduction to Microeconometrics) 0171dB2.4