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

Weeks: 02/06/2025
Period Spring Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
11:00                               11:00-13:00
Consumer Behavior Insights
[Auditorium Annex 1 (Annex)]
P1
11:00-13:00
Consumer Behavior Insights
[Auditorium Annex 1 (Annex)]
P4
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                        
14:30                        
15:00                 15:00-17:00
Big Data for Marketing
[Room2 Executives (Almada Negreiros College)]
PDAYTIME2
     
15:30 15:30-17:30
Big Data for Marketing
[Room2 Executives (Almada Negreiros College)]
PDAYTIME2
15:30-17:30
Consumer Behavior Insights
[Room 3 (Manuel Vilares Building)]
PDAYTIME3
15:30-17:30
Consumer Behavior Insights
[Room 7 (Manuel Vilares Building)]
PDAYTIME1
                15:30-17:30
Consumer Behavior Insights
[Room 6 (Manuel Vilares Building)]
PDAYTIME2
  15:30-17:30
Blockchain
[Room5 Executives (Almada Negreiros College)]
TPDAYTIME1
   
16:00       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
     
16:30       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
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 A101 (Almada Negreiros College)]
TP2
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
Leadership and People Management
[Auditorium A120 (Almada Negreiros College)]
TP4
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
Process Mining Powered By Nokia
[Room 1 (Manuel Vilares Building)]
P3
18:30-20:30
Process Mining Powered By Nokia
[Room 4 (Manuel Vilares Building)]
P4
18:30-20:30
Big Data Analytics
[Room 5 (Manuel Vilares Building)]
TP1
18:30-20:30
Consumer Behavior Insights
[Room 4 (Manuel Vilares Building)]
P2
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 A101 (Almada Negreiros College)]
TP1
20:30-22:30
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P1
20:30-22:30
Data Visualization
[Auditorium A14 (Almada Negreiros College)]
TP1
20:30-22:30
Leadership and People Management
[Auditorium A120 (Almada Negreiros College)]
TP3
20:30-22:30
Leadership and People Management
[Auditorium Annex 2 (Annex)]
TP2
20:30-22:30
Smart and Sustainable Cities
[Room 7 (Manuel Vilares Building)]
TP1
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
Enterprise Cloud and Mobility
[Room 1 (Manuel Vilares Building)]
TP1
20:30-22:30
Consumer Behavior Insights
[Room 4 (Manuel Vilares Building)]
P5
   
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
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Process Mining Powered By Nokia200296Joana NevesTP1, TP2
Rita LourençoP1, P3
Sofia LourençoP2, P4
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1

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