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

Weeks: 16/03/2026		 Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
14:00 - 14:30                     14:00-16:00
Market Research, 200049
[Auditorium Annex 1]
TPDAYTIME1		    
14:30 - 15:00                        
15:00 - 15:30                        
15:30 - 16:00                        
16:00 - 16:30 16:00-18:00
Consumer Behavior Insights, 200170
[Auditorium Annex 2]
TPDAYTIME1		                    
16:30 - 17:00         16:30-18:30
Big Data for Marketing, 200202
[Room 3]
PDAYTIME2		 16:30-18:30
Machine Learning in Marketing, 200203
[Room 2]
PDAYTIME2		 16:30-18:30
Big Data Analytics, 200167
[Room 1]
TPDAYTIME1		    
17:00 - 17:30            
17:30 - 18:00            
18:00 - 18:30                    
18:30 - 19:00 18:30-20:30
Consumer Behavior Insights, 200170
[Auditorium Annex 1]
TP2		 18:30-20:30
Leadership and People Management, 400023
[Room 5]
TP2		 18:30-20:30
Process Mining Powered By Nokia, 200296
[Room 7]
P1		 18:30-20:30
Process Mining Powered By Nokia, 200296
[Room 8]
P2		 18:30-20:30
Generative AI Applied to Marketing, 200316
[Auditorium A13]
TP1		 18:30-20:30
Analysis of Discrete Data, 200198
[Room 4]
TP1		 18:30-20:30
Leadership and People Management, 400023
[Room 5]
TP3		 18:30-20:30
UX Research, 200317
[Room 3]
TP1		 18:30-20:30
Market Research, 200049
[Auditorium Annex 2]
TP1		 18:30-20:30
Predictive Analytics in Marketing, 200190
[Room 8]
TP1		 18:30-20:30
Big Data Analytics, 200167
[Room 1]
TP1		 18:30-20:30
Smart and Sustainable Cities, 200261
[Room 3]
TP1		    
19:00 - 19:30    
19:30 - 20:00    
20:00 - 20:30    
20:30 - 21:00 20:30-22:30
Consumer Behavior Insights, 200170
[Auditorium Annex 1]
TP1		 20:30-22:30
Process Mining Powered By Nokia, 200296
[Room 7]
P3		 20:30-22:30
Process Mining Powered By Nokia, 200296
[Room 8]
P4		 20:30-22:30
Big Data for Marketing, 200202
[Room 4]
P2		 20:30-22:30
Data Visualization, 200162
[Auditorium A13]
TP1 | TP2		 20:30-22:30
Leadership and People Management, 400023
[Room 5]
TP4		 20:30-22:30
Machine Learning in Marketing, 200203
[Room 3]
P2		 20:30-22:30
Customer Relationship Management Systems, 400019
[Room 1]
TP1		 20:30-22:30
Market Research, 200049
[Auditorium Annex 2]
TP2		 20:30-22:30
Enterprise Cloud and Mobility, 400021
[Room 7]
TP1		    
21:00 - 21:30    
21:30 - 22:00    
22:00 - 22:30    

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Discrete Data200198Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167José Américo RioTP1, TPDAYTIME1
Big Data for Marketing200202Dhruv PanditPDAYTIME2
Helena Dinis OliveiraP2
Consumer Behavior Insights200170Diego PintoTP1, TP2, TPDAYTIME1
Customer Relationship Management Systems400019André MestreTP1
Data Visualization200162Cong LiuTP1 | TP2
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Generative AI Applied to Marketing200316André LourençoTP1
Diego PintoTP1
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Vasco JesusP2, PDAYTIME2
Market Research200049Simoni RohdenTP1, TP2, TPDAYTIME1
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Process Mining Powered By Nokia200296Rita LourençoP1, P3
Sofia LourençoP2, P4
Smart and Sustainable Cities200261Miguel NetoTP1
UX Research200317Mijail NaranjoTP1

Print date: 19/09/2025 18:32:59
Observations: TP - Theoretical Classes ; P - Practical Classes