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

Weeks: 24/11/2025
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00 - 09:30                         09:00-11:00
Brand Management, 200197
[Auditorium Annex 2]
TP1
09:30 - 10:00                        
10:00 - 10:30                        
10:30 - 11:00                        
11:00 - 11:30                         11:00-13:00
Brand Management, 200197
[Auditorium Annex 2]
TPDAYTIME1
11:00-13:00
Brand Management, 200197
[Auditorium Annex 2]
TP2
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         16:00-18:00
Brand Management, 200197
[Auditorium Annex 2]
TPDAYTIME1
             
16:30 - 17:00                      
17:00 - 17:30                      
17:30 - 18:00                      
18:00 - 18:30                            
18:30 - 19:00 18:30-20:30
Applied Network Analysis, 200268
[Room 7]
TP1
18:30-20:30
Brand Management, 200197
[Auditorium INE]
TP1
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
[Auditorium Annex 2]
TP1
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
Social Network Analysis, 200204
[Room 8]
TP2
20:30-22:30
Digital Analytics, 400082
[Room 5]
P4
20:30-22:30
Digital Analytics, 400082
[Auditorium Annex 1]
P5
20:30-22:30
Digital Analytics, 400082
[Room 4]
P6
      20:30-22:30
Digital Marketing & E-Commerce, 200196
[Room 3]
P5
20:30-22:30
Data Science for Marketing, 200201
[Auditorium Annex 2]
TP2
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
Applied Network Analysis200268Flávio PinheiroTP1
Maria AlmeidaTP1
Brand Management200197Simoni RohdenTP1, TP2, TPDAYTIME1
Data Science for Marketing200201Nuno AntónioTP1, TP2
DataBase Management Systems200032Jorge NevesTP1, TP2
Digital Analytics400082Bruno AmaralP6
Carlos BispoP5
Daniel CacholaP4
Digital Marketing & E-Commerce200196Alexandra VarizP2, P3, P5
Joana BarbosaP1
Mª Inês RicoP4, P6
Social Network Analysis200204Flávio PinheiroTP1, TP2
Pedro AlvesTP1, TP2

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