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

Weeks: 29/09/2025
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
16:00 - 16:30     16:00-18:00
Data Science for Marketing, 200201
[Auditorium Annex 1]
PDAYTIME2
16:00-18:00
Digital Analytics, 400082
[A224]
TPDAYTIME2
   
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
Experimental Design, 200163
[Salão Nobre]
TP1
18:30-20:30
Data Science for Marketing, 200201
[Room 3]
P2
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 Analytics, 400082
[Auditorium Annex 1]
TP2
  20:30-22:30
Data Science for Marketing, 200201
[Salão Nobre]
P3
20:30-22:30
Data Science for Marketing, 200201
[Auditorium Annex 2]
P4
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
Data Science for Marketing200201Ana EdmundoP3, PDAYTIME2
André Mota dos SantosP2, P4
DataBase Management Systems200032Jorge NevesTP1, TP2
Digital Analytics400082Bruno AmaralTP2, TPDAYTIME2
Experimental Design200163Simoni RohdenTP1

Print date: 27/09/2025 12:04:44
Observations: TP - Theoretical Classes ; P - Practical Classes