MDDM-DSM-Electives
Code: 9435ECMDDMDS4M
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 12/05/2025		 Period Spring Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00                                       09:00-13:00
Predictive Analytics in Marketing
[Room 7 (Manuel Vilares Building)]
TP1
09:30                                      
10:00                                      
10:30                                      
11:00                                      
11:30                                      
12:00                                      
12:30                                      
13:00                                        
13:30 13:30-15:30
Consumer Behavior Insights
[Room 7 (Manuel Vilares Building)]
PDAYTIME2		                 13:30-15:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
PDAYTIME1		 13:30-15:30
Search Engine Optimization
[Auditorium Annex 2 (Annex)]
TPDAYTIME1		    
14:00                    
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
Market Research
[Auditorium Annex 1 (Annex)]
TPDAYTIME1		         15:30-17:30
Blockchain
[Room5 Executives (Almada Negreiros College)]
TPDAYTIME1		  
16:00 16:00-18:00
Social Media Analytics
[Room 1 (Manuel Vilares Building)]
PDAYTIME1		 16:00-18:00
Social Media Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2		 16:00-18:00
Social Media Analytics
[Room2 Executives (Almada Negreiros College)]
PDAYTIME3		 16:00-18:00
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
PDAYTIME1		 16:00-18:00
Machine Learning in Marketing
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2		 16:00-18:00
Search Engine Optimization
[Auditorium Annex 2 (Annex)]
TPDAYTIME2		    
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
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P2		 18:30-20:30
Market Research
[Auditorium Annex 1 (Annex)]
TP1		 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		 18:30-20:30
Consumer Behavior Insights
[Auditorium A120 (Almada Negreiros College)]
P1		 18:30-20:30
Consumer Behavior Insights
[Auditorium Annex 1 (Annex)]
P2		 18:30-20:30
Consumer Behavior Insights
[Room 2 (Manuel Vilares Building)]
P3		 18:30-20:30
Analysis of Variance
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Social Media Analytics
[Auditorium Annex 2 (Annex)]
P1		 18:30-20:30
Social Media Analytics
[Room 6 (Manuel Vilares Building)]
P2		 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
[Auditorium INE (Manuel Vilares Building)]
P1		 18:30-20:30
Machine Learning in Marketing
[Auditorium Annex 1 (Annex)]
P2		 18:30-20:30
Big Data Analytics
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Search Engine Optimization
[Auditorium Annex 2 (Annex)]
TP1		 18:30-20:30
Blockchain
[Room 6 (Manuel Vilares Building)]
TP1		  
19:00  
19:30  
20:00  
20:30 20:30-22:30
Market Research
[Auditorium Annex 1 (Annex)]
TP2		 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
Consumer Behavior Insights
[Auditorium A120 (Almada Negreiros College)]
P4		 20:30-22:30
Consumer Behavior Insights
[Auditorium Annex 1 (Annex)]
P5		 20:30-22:30
Social Media Analytics
[Room 5 (Manuel Vilares Building)]
P3		 20:30-22:30
Social Media Analytics
[Room 1 (Manuel Vilares Building)]
P4		 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
[Auditorium INE (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 6 (Manuel Vilares Building)]
TP1		 20:30-22:30
Search Engine Optimization
[Auditorium Annex 2 (Annex)]
TP2		 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 OliveiraP2
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
Search Engine Optimization200200Bruno Brás NunesTP1, TP2, TPDAYTIME1, TPDAYTIME2
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
Social Media Analytics400081Ana EdmundoP1, PDAYTIME2
Filip PetrovskyP3, PDAYTIME3
Francisco AfonsoP4
Vasco JesusP2, PDAYTIME1
UX Research200317Mijail NaranjoTP1

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