MDDM-MRCRM-Electives
Code: 9435ECMDDMMRCRM
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 01/12/2025
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00 - 09:30                     09:00-11:00
Digital Analytics, 400082
[Auditorium Annex 1]
TP2
09:30 - 10:00                    
10:00 - 10:30                    
10:30 - 11:00                    
11:00 - 11:30                      
11:30 - 12:00                      
12:00 - 12:30                      
12:30 - 13:00                      
13:00 - 13:30                      
13:30 - 14:00                      
14:00 - 14:30                      
14:30 - 15:00                      
15:00 - 15:30                      
15:30 - 16:00                      
16:00 - 16:30                      
16:30 - 17:00                      
17:00 - 17:30                      
17:30 - 18:00                      
18:00 - 18:30                      
18:30 - 19:00   18:30-20:30
Digital Marketing & E-Commerce, 200196
[Auditorium A224]
P1
18:30-20:30
Digital Marketing & E-Commerce, 200196
[Room A101]
P2
18:30-20:30
Social Network Analysis, 200204
[Room 6]
TP1
18:30-20:30
Data Science for Marketing, 200201
[Room5 Executives]
P2
18:30-20:30
Digital Marketing & E-Commerce, 200196
[Room 4]
P3
18:30-20:30
Digital Marketing & E-Commerce, 200196
[Room 5]
P4
18:30-20:30
DataBase Management Systems, 200032
[Room 5]
TP2
   
19:00 - 19:30      
19:30 - 20:00      
20:00 - 20:30      
20:30 - 21:00         20:30-22:30
Digital Marketing & E-Commerce, 200196
[Room 3]
P5
20:30-22:30
Data Science for Marketing, 200201
[Room2 Executives]
P3
20:30-22:30
Data Science for Marketing, 200201
[Room5 Executives]
P4
20:30-22:30
Digital Marketing & E-Commerce, 200196
[Room 5]
P6
20:30-22:30
DataBase Management Systems, 200032
[Room 5]
TP1
   
21:00 - 21:30            
21:30 - 22:00            
22:00 - 22:30            

ModuleAcademic staff memberSection
NameCodeAcronym
Data Science for Marketing200201Ana EdmundoP3
André Mota dos SantosP2, P4
DataBase Management Systems200032Jorge NevesTP1, TP2
Digital Analytics400082Bruno AmaralTP2
Digital Marketing & E-Commerce200196Alexandra VarizP2, P3, P5
Joana BarbosaP1
Mª Inês RicoP4, P6
Social Network Analysis200204Flávio PinheiroTP1
Pedro AlvesTP1

Print date: 17/11/2025 12:04:25
Observations: TP - Theoretical Classes ; P - Practical Classes