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: 31/03/2025
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)]
TPDAYTIME1
         
14:00     14:00-16:00
Marketing Engineering and Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME1
   
14:30        
15:00        
15:30              
16:00     16:00-18:00
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
TPDAYTIME1
         
16:30              
17:00              
17:30              
18:00                    
18:30     18:30-20:30
Machine Learning in Marketing
[Auditorium INE (Manuel Vilares Building)]
TP1
         
19:00              
19:30              
20:00              
20:30   20:30-22:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
TP1
20:30-22:30
Marketing Engineering and Analytics
[Room 5 (Manuel Vilares Building)]
P1
20:30-22:30
Marketing Engineering and Analytics
[Room 1 (Manuel Vilares Building)]
P2
20:30-22:30
Marketing Engineering and Analytics
[Room 4 (Manuel Vilares Building)]
P3
20:30-22:30
Marketing Engineering and Analytics
[Room A101 (Almada Negreiros College)]
P4
20:30-22:30
Marketing Engineering and Analytics
[Room 3 (Manuel Vilares Building)]
P5
20:30-22:30
Marketing Engineering and Analytics
[Room 6 (Manuel Vilares Building)]
P6
   
21:00      
21:30      
22:00      

ModuleAcademic staff memberSection
NameCodeAcronym
Big Data for Marketing200202Ian ScottTP1, TPDAYTIME1
Machine Learning in Marketing200203Nuno AntónioTP1, TPDAYTIME1
Marketing Engineering and Analytics200188Daniela ClaroP3, P6
Inês CastroP2, P5
Vasco JesusP1, P4, PDAYTIME1, PDAYTIME2, PDAYTIME3

Print date: 20/05/2025 18:29:01
Observations: Green - Theoretical Classes ; Grey - Pratical Classes