Schedule

The master is thought to be done 1 YEAR with the following schedule:

FULL-TIME option

October November December February March April May
July(September)
M1. Introduction to human and CV (UPC) M3. Machine Learning techniques for CV (UAB) M5. Visual Recognition (UAB)    
M2. Optimization and Inference techniques for CV (UPF) M4. Video Analysis (UPC) M6. 3D Vision (UPF)    
M7. Introduction to Research Dissemination (UOC) M8. Research and Technology Transfer Management (UOC)  
            M9. Master's Dissertation

It can also be done in 2 YEARS:  

PART-TIME option: 

1st YEAR Schedule:

October November December February March April May
July(September)
M1. Introduction to human and CV (UPC) M3. Machine Learning techniques for CV (UAB) M5. Visual Recognition (UAB)    
M7. Introduction to Research Dissemination (UOC) M8. Research and Technology Transfer Management (UOC)  

2nd YEAR Schedule:

October November December February March April May July(September)
M2. Optimization and Inference techniques for CV (UPF) M4. Video Analysis (UPC) M6. 3D Vision (UPF)    
M9. Master's Dissertation

 

 Week schedule during the course:

Time Monday Tuesday Wednesday Thursday
16h-17h M1 / M3 / M5 M2 / M4 / M6 M1 / M3 / M5 M2 / M4 / M6
17h-18h M1 / M3 / M5 M2 / M4 / M6 M1 / M3 / M5 M2 / M4 / M6
18h-19h

Project M1 / M3 / M5

   

Project M2 / M4 / M6