## Statistics and Data Analysis (Master's degree programme, full-time study mode, single-subject)

1

^{st}year1

^{st}semester
PřF:M7DPN Diploma Thesis 1, non-teaching • 93 %

PřF:M7222 Generalized linear models • 93 %

PřF:M7986 Statistical inferences I • 87 %

PřF:M9121 Time Series I • 87 %

PřF:M7750 Matrix and Optimisation Numerical Methods • 73 %

PřF:JAM03 English for Mathematicians III • 40 %

PdF:TV1BP_TVVB Conditional physical Training-voleyball, basketball • 20 %

PrF:BVV13ZK Basics of Law for Non-Lawyers • 13 %

PřF:JA002 Advanced Examination in English for Specific Purposes - Science • 13 %

PřF:MA750 Probability theory • 13 %

PřF:MF001 Stochastical processes in financial mathematics • 13 %

PřF:M9DM2 Data mining II • 13 %

PřF:M9PAD Practical data analysis • 13 %

PřF:M9750 Robustní a neparametrické statistické metody • 13 %

PdF:JV006 English for Study Abroad • 13 %

ESF:MPM_EVBA Economic modeling in spreadsheet with VBA • 13 %

2

^{nd}semester
PřF:M6444 Stochastic models of Markov type • 92 %

PřF:M8751 Advanced Regression Models I • 92 %

PřF:M7985 Survival analysis • 85 %

PřF:M8986 Statistical inferences II • 85 %

PřF:M8DPN Diploma Thesis 2, non-teaching • 54 %

ESF:MPM_SQLA Big Data with SQL • 46 %

PřF:M8113 Theory and Practice of Kernel Smoothing • 31 %

PřF:MAIBDA An Introduction to Bayesian Data Analysis • 23 %

PřF:MF002 Stochastic analysis • 23 %

PřF:M0122 Time Series II • 23 %

PřF:M6150 Functional Analysis I • 15 %

CST:SPUAJ001 Academic reading for students with learning differences • 15 %

2

^{nd}year3

^{rd}semester
PřF:M9901 Theory and practice of spline smoothing • 89 %

PřF:M8752 Advanced regression models II • 61 %

PřF:JA002 Advanced Examination in English for Specific Purposes - Science • 56 %

PřF:M9DPN Diploma Thesis 3, non-teaching • 50 %

ESF:MPM_EVBA Economic modeling in spreadsheet with VBA • 44 %

PřF:C2184 Introduction to programming in Python • 39 %

PřF:M8DPN Diploma Thesis 2, non-teaching • 39 %

PřF:M9DM2 Data mining II • 33 %

PřF:M9121 Time Series I • 22 %

PřF:M9750 Robustní a neparametrické statistické metody • 22 %

PřF:F1410 Technical laboratory • 11 %

PřF:M7986 Statistical inferences I • 11 %

PřF:M9PAD Practical data analysis • 11 %

PdF:VV_GDZS Graphic design and Lifestyle • 11 %

ESF:BPE_AVED Analysis and Visualization of Economic Data • 11 %

ESF:MPM_GOAN Google Analytics • 11 %

4

^{th}semester
PřF:M8113 Theory and Practice of Kernel Smoothing • 67 %

PřF:MADPN Diploma Thesis 4, non-teaching • 60 %

PřF:MSZZ_MN Master state exam - Mathematics • 53 %

PřF:M9DPN Diploma Thesis 3, non-teaching • 40 %

PřF:JA002 Advanced Examination in English for Specific Purposes - Science • 20 %

PřF:M9211 Bayesian methods • 20 %

PřF:M8751 Advanced Regression Models I • 13 %

PřF:M8986 Statistical inferences II • 13 %

PdF:FJ1028 French Course online • 13 %

PdF:ONLINE_A English Online • 13 %

The information was preprocessed: 17/8/2019 11:19