Economics (doctoral full-time)
1st year
1st term
ESF:DXE_EMT2 Econometrics 2 • 60 %
ESF:DXE_EMTR Econometrics • 40 %
ESF:DXH_MET1 Methodology 1 • 40 %
ESF:DXX_REWA Research Workshop Attendance • 40 %
CST:FR_EL FRESHERS: Skills for Research Career • 40 %
PdF:ONLINE_AG English Online - Grammar • 20 %
ESF:DXE_SLIT Study of literature • 20 %
ESF:DXV_PUEC Public economics • 20 %
2nd term
ESF:DXE_EMT2 Econometrics 2 • 67 %
ESF:DXE_SLIT Study of literature • 67 %
ESF:DXH_MET2 Methodology 2 • 67 %
FF:CJJ52 Linguistic experiments • 33 %
FF:DOBRO_ARTS Volunteering • 33 %
FF:ROM1BPO03 Practical Portuguese III • 33 %
ESF:DXE_EMTR Econometrics • 33 %
ESF:DXE_FADA Faking data (in a good way): size, power, and the replication crisis • 33 %
ESF:DXE_POMV Teaching assitance • 33 %
ESF:DXH_MET1 Methodology 1 • 33 %
ESF:DXJ_KAAA English for academic and specific purposes competence, variant A • 33 %
CST:FR_EL FRESHERS: Skills for Research Career • 33 %
2nd year
3rd term
PřF:M7116 Structured population models • 100 %
PřF:M8986B Statistical inference II • 100 %
PřF:XS450 Communication training • 100 %
ESF:DXE_FADA Faking data (in a good way): size, power, and the replication crisis • 100 %
ESF:DXE_POMV Teaching assitance • 100 %
ESF:DXH_MET2 Methodology 2 • 100 %
ESF:DXJ_KAAA English for academic and specific purposes competence, variant A • 100 %
4th term
There is no data available.
3rd year
5th term
ESF:DXE_POMV Teaching assitance • 67 %
ESF:MPE_APRE Applied predictive modelling in credit risk • 33 %
6th term
ESF:DXE_ZSTA Internship abroad • 100 %
ESF:DXE_PDPR Preparation of the dissertation • 67 %
FI:PV021 Neural Networks • 33 %
ESF:DXE_POMV Teaching assitance • 33 %
ESF:DXE_PREZ Research Workshop • 33 %
4th year
7th term
ESF:DXE_PDPR Preparation of the dissertation • 25 %
ESF:DXE_ZSTA Internship abroad • 25 %
8th term
ESF:DXE_PDPR Preparation of the dissertation • 100 %
The information was preprocessed: 5/7/2025 11:33