Course code 09 33 5370 00
ECTS credits 3
Course title in the language of instruction 
Analiza danych i modelowanie w produkcji
Course title in Polish Analiza danych i modelowanie w produkcji
Course title in English 
Data Analysis and  Modelling of Production Processes
Language of instruction Polish
Course level first-cycle programme
Course coordinator dr Anna Szmit
Course instructors prof. dr hab. Filip Chybalski, dr Adam Depta, mgr inż. Małgorzata Gumola, dr hab. inż. Edyta Marcinkiewicz, dr inż. Iwona Staniec, dr Jan Żółtowski
Delivery methods and course duration
Lecture Tutorials Laboratory Project Seminar Other Total of teaching hours during semester
Contact hours 20 0 20
E-learning No No No No No No
Assessment criteria (weightage) 1.00 0.00
Course objective
  1. Familiarize students with the problem of data analysis and modeling processes in the manufacturing company.
  2. Acquisition of the ability to create and interpret parameters of econometric models.
  3. Develop the skills of data analysis and process modeling in a manufacturing company.
Learning outcomes 
  1.  Student can correctly analyze data on costs, supplies, production, stocks and the market.
  2.  Student is able to use methods and techniques used in production process modeling.
Assessment methods 
For effect 1: project (50%)
For effect 2: project (50%)
Prerequisites 
Completion of learning outcomes for the subject Mathematical Statistics
Course content with delivery methods 
Project
Construction of econometric models, including the description of quantitative and qualitative characteristics of various types, classification of econometric models.
Classical least squares method, estimation of parameters of structure of single-line linear model and parameters of stochastic structure. Evaluation of the significance of individual structural parameters, verification of the hypothesis with the combined effect of the explanatory variables. Interpretation of model parameter evaluations. Analysis of the residual properties of the model: decomposition, autocorrelation, linearity, homogeneity of variance.
Methods of selecting variables for the econometric model.
Nonlinear models, linearization and return to model's output form, interpretation of parameters.
Multivariate models, standard form, structural, classification of models due to the relationship between variables.
Basic reference materials 
  1.  Chybalski F., Marcinkiewicz E., Matuszewska A., Mazur A., Staniec I., Szmit A., Żółtowski J.: Zbiór zadań z podstaw ekonometrii i prognozowania; Wydawnictwo PŁ, Łódź 2007
  2.  Goryl A., Jędrzejczyk Z., Kukuła K. (red.), Osiewalski J., Walkosz A.: Wprowadzenie do ekonometrii w przykładach i zadaniach; Wydawnictwo Naukowe PWN, Warszawa 1996
Other reference materials 
  1.  Charemza W. W., Deadman D. F.: Nowa ekonometria; PWE, Warszawa 1997.
  2.  Chow G. C.: Ekonometria; Wydawnictwa Naukowe PWN, Warszawa 1995.
  3.  Dorosiewicz S., Gruszczyński M., Kołatkowski D., Kuszewski T., Podgórska M., Syczewska E.: Ekonometria; SGH, Warszawa 1997
  4.  Jajuga K.: Ekonometria. Metody i analiza problemów ekonomicznych; Wydawnictwo Akademii Ekonomicznej im. O. Langego we Wrocławiu, Wrocław 1999
  5.  Welfe A.: Ekonometria.. Polskie Wydawnictwo Ekonomiczne, Warszawa 1998
  6.  Witkowska D.: Podstawy ekonometrii i teorii prognozowania: podręcznik z przykładami i zadaniami; Oficyna Ekonomiczna, Kraków 2005
Average student workload outside classroom 
56
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                        Last update
                        2021-07-20 15:11:40