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

Weeks: 26/05/2025		 Period Spring Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:00                                   10:00-12:00
Market Research
[Auditorium A120 (Almada Negreiros College)]
TP1		 10:00-12:00
Market Research
[Auditorium A120 (Almada Negreiros College)]
TP2
10:30                                  
11:00                                  
11:30                                  
12:00                                      
12:30                                      
13:00                                      
13:30                       13:30-15:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
PDAYTIME1		              
14:00                       14:00-18:00
Market Research
[Auditorium A14 (Almada Negreiros College)]
TPDAYTIME1		            
14:30                                  
15:00                                  
15:30 15:30-17:30
Big Data for Marketing
[Room2 Executives (Almada Negreiros College)]
PDAYTIME2		 15:30-17:30
Consumer Behavior Insights
[Room 7 (Manuel Vilares Building)]
PDAYTIME2		 15:30-17:30
Consumer Behavior Insights
[Room 3 (Manuel Vilares Building)]
PDAYTIME3		 15:30-17:30
Consumer Behavior Insights
[Room A101 (Almada Negreiros College)]
PDAYTIME1		                     15:30-17:30
Blockchain
[Room5 Executives (Almada Negreiros College)]
TPDAYTIME1		    
16:00             16:00-18:00
Machine Learning in Marketing
[Room 3 (Manuel Vilares Building)]
PDAYTIME1		 16:00-18:00
Machine Learning in Marketing
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2		        
16:30             16:30-18:30
Big Data Analytics
[Room 1 (Manuel Vilares Building)]
TPDAYTIME1		    
17:00                
17:30                            
18:00                                  
18:30 18:30-20:30
Customer Relationship Management Systems
[Room 8 (Manuel Vilares Building)]
TP1		 18:30-20:30
Process Mining Powered By Nokia
[Room 2 (Manuel Vilares Building)]
P3		 18:30-20:30
Process Mining Powered By Nokia
[Room 4 (Manuel Vilares Building)]
P4		 18:30-22:30
Market Research
[Auditorium A14 (Almada Negreiros College)]
TP1		 18:30-22:30
Market Research
[Auditorium A14 (Almada Negreiros College)]
TP2		 18:30-20:30
Consumer Behavior Insights
[Room 2 (Manuel Vilares Building)]
P1		 18:30-20:30
Consumer Behavior Insights
[Room 4 (Manuel Vilares Building)]
P2		 18:30-20:30
Consumer Behavior Insights
[Auditorium Annex 1 (Annex)]
P3		 18:30-20:30
Analysis of Variance
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP4		 18:30-20:30
UX Research
[Room 1 (Manuel Vilares Building)]
TP1		 18:30-20:30
Machine Learning in Marketing
[Room 3 (Manuel Vilares Building)]
P1		 18:30-20:30
Machine Learning in Marketing
[Auditorium Annex 1 (Annex)]
P2		 18:30-20:30
Predictive Analytics in Marketing
[Room 7 (Manuel Vilares Building)]
TP1		 18:30-20:30
Big Data Analytics
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Analysis of Variance
[Room 3 (Manuel Vilares Building)]
TP1		 18:30-20:30
Blockchain
[Room 6 (Manuel Vilares Building)]
TP1		    
19:00    
19:30    
20:00    
20:30 20:30-22:30
Process Mining Powered By Nokia
[Room 3 (Manuel Vilares Building)]
P1		 20:30-22:30
Process Mining Powered By Nokia
[Room 5 (Manuel Vilares Building)]
P2		   20:30-22:30
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P1		 20:30-22:30
Consumer Behavior Insights
[Room 2 (Manuel Vilares Building)]
P4		 20:30-22:30
Consumer Behavior Insights
[Room 4 (Manuel Vilares Building)]
P5		 20:30-22:30
Data Visualization
[Auditorium A13 (Almada Negreiros College)]
TP1		 20:30-22:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP3		 20:30-22:30
Leadership and People Management
[Room 6 (Manuel Vilares Building)]
TP2		 20:30-22:30
Smart and Sustainable Cities
[Room 7 (Manuel Vilares Building)]
TP1		 20:30-22:30
Enterprise Cloud and Mobility
[Room 1 (Manuel Vilares Building)]
TP1		      
21:00        
21:30        
22:00        

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Variance200205Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167Márcia BaptistaTP1, TPDAYTIME1
Big Data for Marketing200202Dhruv PanditPDAYTIME1, PDAYTIME2
Helena Dinis OliveiraP1
Blockchain200269Ian ScottTP1, TPDAYTIME1
Consumer Behavior Insights200170Joana NunesP3, PDAYTIME3
Mariana Girão CarrilhoP2, P5, PDAYTIME2
Simoni RohdenP1, P4, PDAYTIME1
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Data Visualization200162Marco NevesTP1
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Ana EdmundoP1, PDAYTIME1
Vasco 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 Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
UX Research200317Mijail NaranjoTP1

Print date: 02/06/2025 18:03:49
Observations: Green - Theoretical Classes ; Grey - Pratical Classes