Mathematical and Statistical Methods in Economics (master's full-time single-subject)

1st year
1st term
ESF:MPE_CMIE Seminar in Microeconomics • 89 %
ESF:MPE_MIE2 Microeconomics 2 • 89 %
ESF:XPX_UJ1A Recognition Language 1 - English • 89 %
ESF:MPE_BAAN Bayesian analysis • 85 %
ESF:MPE_VPAM Selected parts of applied mathematics • 54 %
ESF:MPE_ZMAT Basics of MATLAB • 46 %
ESF:MPJ_JII1NA Foreign Language II/1 - German • 39 %
ESF:MPM_VSM Multivariate Statistical Analysis • 39 %
ESF:MPE_AVED Analysis and Visualization of Economic Data • 30 %
ESF:MPE_MEEK International Economics • 25 %
ESF:MPE_APRE Applied predictive modelling in credit risk • 18 %
ESF:BPE_ZAEK Introduction to Econometrics • 11 %
2nd term
ESF:MPE_EKON Econometrics • 92 %
ESF:MPE_CMAE Seminar in Macroeconomics • 84 %
ESF:MPE_TEDP Diploma thesis • 84 %
ESF:MPE_MAE2 Macroeconomics 2 • 80 %
ESF:MPE_AMEM Applied Macroeconomic Modelling • 45 %
ESF:MPE_PSDA Working with data • 43 %
ESF:MPJ_JII2NB Foreign Language II/2 - German • 29 %
ESF:MPE_MATL MATLAB • 25 %
ESF:MPM_SQLA Big Data with SQL • 22 %
ESF:MPE_APIS Applied identification strategies • 16 %
ESF:BPE_CARA Time Series • 12 %
2nd year
3rd term
ESF:MPE_MAMO Macroeconomic modelling • 92 %
ESF:MPE_DIS1 Diploma Thesis Seminar 1 • 69 %
ESF:MPE_APRE Applied predictive modelling in credit risk • 37 %
ESF:MPF_AIIF AI in Finance • 33 %
ESF:MPE_AVED Analysis and Visualization of Economic Data • 24 %
ESF:MPM_DPBI Data processing with powerBI • 22 %
ESF:MPJ_JII1NA Foreign Language II/1 - German • 14 %
ESF:MPM_VSM Multivariate Statistical Analysis • 14 %
PřF:C2184 Introduction to programming in Python • 12 %
FI:IB113 Introduction to Programming and Algorithms • 12 %
ESF:MPE_PSAB Lectures with graduates • 12 %
4th term
ESF:MPE_DIS2 Diploma Thesis Seminar 2 • 69 %
ESF:MPE_PSDA Working with data • 29 %
ESF:MPE_DIS1 Diploma Thesis Seminar 1 • 17 %
ESF:MPE_AMEM Applied Macroeconomic Modelling • 12 %
ESF:MPE_APIS Applied identification strategies • 12 %

The information was preprocessed: 15/2/2025 11:31

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