WiSe 24/25: Module offerings

• Mathematics (for Students of Business and Economics)

  0171dA1.5
  learning objectives: Students learn the essential mathematical methods they need in order to understand the formalized economic ... read more

  learning objectives:
  Students learn the essential mathematical methods they need in order to understand the formalized economic relationships that they will encounter during their studies. The methods will also enable them to develop solutions to problems related to these economic relationships. The methods include a fundamental understanding of linear algebra and analysis as well as how to apply that to economic problems. In addition, the module treats the students’ individual and cultural diversity as a positive contribution that supports student and teacher success.
  
  

  course content:
  Vectors, matrices, determinants, linear systems of equations, functions of one or more variables, ordinary and partial derivatives, extreme values of functions with and without constraints, integral calculus.
  
  

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

  close
  • 10120301 Lecture
    Mathematics for Economists (V) (Ulrich Schneider)
    Schedule: Mo 10:00-12:00 (Class starts on: 2024-10-14)
    Location: Hs 101 Hörsaal (Garystr. 21)
    
  • 10120302 Practice seminar
    Mathematics for Economists (Ü) (Ulrich Schneider)
    Schedule: Di 10:00-12:00 (Class starts on: 2024-10-15)
    Location: Hs 101 Hörsaal (Garystr. 21)
    
  • 10120305 Tutorial
    Mathematics for Economists (T) (Tutor*innen)
    Schedule: Mi 08:00-18:00 (Class starts on: 2024-10-16)
    Location: div. Hörsäle
    

• Schließende Statistik (Inferential Statistics)

  0171dA1.7
  learning objectives: Students learn to make decisions based on statistical data and assess the quality of these decisions. They learn how ... read more

  learning objectives:
  Students learn to make decisions based on statistical data and assess the quality of these decisions. They learn how to solve three central types of statistical problems: Estimating unknown parameters of a distribution (point estimation), determining the confidence interval for an unknown parameter (confidence interval), making statements about the equality or inequality of distributions (tests). Students learn to apply these techniques themselves using empirical data and with the help of computer technology. The diversity of perspectives, experiences, and skills that the students bring with them to the group is treated as a positive contribution to the quality of research they produce and entails great benefits.
  
  

  course content:
  Continuous distribution models, sampling functions, parameter estimation, confidence intervals, hypothesis testing, regression analysis.
  
  

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

  close
  • 10120501 Lecture
    Inferential Statistics (V) (Ulrich Schneider)
    Schedule: Mo 12:00-14:00 (Class starts on: 2024-10-14)
    Location: HFB/A Hörsaal (Garystr. 35-37)
    
  • 10120502 Practice seminar
    Inferential Statistics (T) (Nicolas Frink)
    Schedule: Do 10:00-12:00 (Class starts on: 2024-10-17)
    Location: HFB/C Hörsaal (Garystr. 35-37)
    
  • 10120505 Tutorial
    Inferential Statistics (T) (Tutor*innen)
    Schedule: Mo 08:00-14:00 (Class starts on: 2024-10-14)
    Location: keine Angabe
    

• Modules w/o courses in this semester

  4 Modules
  • Einführung in die Statistik (Introduction to Statistics) 0171dA1.6
  • Einführung in die Ökonometrie (Introduction to Econometrics) 0171dB2.1
  • Introduction to Time-Series Analysis 0171dB2.3
  • Einführung in die Mikroökonometrie (Introduction to Microeconometrics) 0171dB2.4