02M DDM Data Science for Marketing
Code: 9435-1-3
Year: 1
Degree course name: 02 MDDM - DMA/ MI/ DSM/ MRCRM - Data Driven Marketing
Degree course acronym: Data Drive Marketing
Degree course code: 9435

Weeks: 26/05/2025
Period 2nd Semester
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:30         09:30-11:30
Marketing Engineering and Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME3
   
10:00            
10:30            
11:00            
11:30         11:30-13:30
Marketing Engineering and Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2
   
12:00            
12:30            
13:00            
13:30     13:30-15:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
PDAYTIME1
     
14:00     14:00-16:00
Marketing Engineering and Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME1
   
14:30        
15:00        
15:30 15:30-17:30
Big Data for Marketing
[Room2 Executives (Almada Negreiros College)]
PDAYTIME2
         
16:00   16:00-18:00
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
PDAYTIME1
16:00-18:00
Machine Learning in Marketing
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2
     
16:30        
17:00        
17:30          
18:00              
18:30 18:30-20:30
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P2
  18:30-20:30
Machine Learning in Marketing
[Auditorium INE (Manuel Vilares Building)]
P1
18:30-20:30
Machine Learning in Marketing
[Auditorium Annex 1 (Annex)]
P2
     
19:00        
19:30        
20:00        
20:30   20:30-22:30
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P1
         
21:00            
21:30            
22:00            

ModuleAcademic staff memberSection
NameCodeAcronym
Big Data for Marketing200202António CamposP1, P2
Dhruv PanditPDAYTIME1, PDAYTIME2
Machine Learning in Marketing200203Ana EdmundoP1, PDAYTIME1
Vasco JesusP2, PDAYTIME2
Marketing Engineering and Analytics200188Vasco JesusPDAYTIME1, PDAYTIME2, PDAYTIME3

Print date: 21/04/2025 18:20:26
Observations: Green - Theoretical Classes ; Grey - Pratical Classes