02M Electives DDM Data Science for Marketing
Code: 9435ECMDDMDS4M
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 28/04/2025		 Period 2nd Semester
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
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
Social Media Analytics
[Auditorium A120 (Almada Negreiros College)]
TPDAYTIME1		 16:00-18:00
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
TPDAYTIME1		    
16:30    
17:00    
17:30                
18:00                       18:00-20:00
Big Data Analytics
[Room 3 (Manuel Vilares Building)]
TPDAYTIME1		          
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
Social Media Analytics
[Auditorium Annex 2 (Annex)]
TP1		 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 2 (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
Predictive Analytics in Marketing
[Room 7 (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
UX Research
[Room 5 (Manuel Vilares Building)]
TP1		 20:30-22:30
Social Media Analytics
[Auditorium Annex 2 (Annex)]
TP2		 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
[Auditorium INE (Manuel Vilares Building)]
TP2		 20:30-22:30
Smart and Sustainable Cities
[Room 7 (Manuel Vilares Building)]
TP1		 20:30-22:30
Big Data Analytics
[Room 3 (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
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
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Nuno AntónioTPDAYTIME1
Market Research200049Simoni RohdenTP1, TP2, TPDAYTIME1
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
Social Media Analytics400081Nuno AntónioTP1, TP2, TPDAYTIME1
UX Research200317Mijail NaranjoTP1

Print date: 08/05/2025 12:55:20
Observations: Green - Theoretical Classes ; Grey - Pratical Classes