02M Electives DDM Digital Marketing & Analytics
Code: 9435EC
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 05/05/2025
Period 2nd Semester
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00                             09:00-11:00
Data Visualization
[Auditorium A120 (Almada Negreiros College)]
TP1
09:30                            
10:00                            
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                          
14:30                          
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
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
TPDAYTIME1
   
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
Market Research
[Auditorium Annex 1 (Annex)]
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
Analysis of Variance
[Room 5 (Manuel Vilares Building)]
TP1
18:30-20:30
Consumer Behavior Insights
[Room A101 (Almada Negreiros College)]
P1
18:30-20:30
Consumer Behavior Insights
[Room 4 (Manuel Vilares Building)]
P2
18:30-20:30
Consumer Behavior Insights
[Room 7 (Manuel Vilares Building)]
P3
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)]
TP1
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
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
Big Data for Marketing
[Room 7 (Manuel Vilares Building)]
P1
20:30-22:30
Consumer Behavior Insights
[Room A101 (Almada Negreiros College)]
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 A101 (Almada Negreiros College)]
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 Marketing200202António CamposP1
Dhruv PanditPDAYTIME1, PDAYTIME2
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 Marketing200203Nuno AntónioTP1, TPDAYTIME1
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: 21/04/2025 18:21:09
Observations: Green - Theoretical Classes ; Grey - Pratical Classes