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

Weeks: 22/09/2025		 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]
TPDAYTIME1		 16:00-18:00
Digital Analytics, 400082
[Room2 Executives]
PDAYTIME3		 16:00-18:00
Digital Analytics, 400082
[Room5 Executives]
PDAYTIME4		    
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
[Auditorium Annex 2]
TP1		 18:30-20:30
DataBase Management Systems, 200032
[Room 5]
TP2		 18:30-20:30
Descriptive Analytics in Marketing, 200189
[A224]
TP1		    
19:00 - 19:30    
19:30 - 20:00    
20:00 - 20:30    
20:30 - 21:00 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
Data Science for Marketing, 200201
[Auditorium Annex 2]
TP2		 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 Marketing200201Nuno AntónioTP1, TP2, TPDAYTIME1
DataBase Management Systems200032Jorge NevesTP1, TP2
Descriptive Analytics in Marketing200189Catarina NevesTP1
Pedro CoelhoTP1
Digital Analytics400082Bruno AmaralP6
Carlos BispoP5, PDAYTIME4
Daniel CacholaP4, PDAYTIME3
Experimental Design200163Simoni RohdenTP1

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