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

Weeks: 10/03/2025		 Period Spring Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:30                               10:30-12:30
Data Visualization
[Auditorium A120 (Almada Negreiros College)]
TP1
11:00                              
11:30                              
12:00                              
12:30                                
13:00                                
13:30                                
14:00                                
14:30                                
15:00                                
15:30                                
16:00                                
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
[Auditorium INE (Manuel Vilares Building)]
TP2		 18:30-20:30
Consumer Behavior Insights
[Auditorium A120 (Almada Negreiros College)]
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
Analysis of Discrete Data
[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
[Auditorium INE (Manuel Vilares Building)]
P1		 18:30-20:30
Machine Learning in Marketing
[Room 3 (Manuel Vilares Building)]
P2		 18:30-20:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP4		 18:30-20:30
Generative AI Applied to Marketing
[Auditorium INE (Manuel Vilares Building)]
TP1		 18:30-20:30
Information Project Management
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Big Data Analytics
[Room 8 (Manuel Vilares Building)]
TP1		    
19:00    
19:30    
20:00    
20:30 20:30-22:30
Process Mining Powered By Nokia
[Auditorium INE (Manuel Vilares Building)]
TP1		 20:30-22:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
TP1		 20:30-22:30
Consumer Behavior Insights
[Auditorium A120 (Almada Negreiros College)]
TP2		 20:30-22:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP3		 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
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
Information Project Management
[Room 5 (Manuel Vilares Building)]
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 Discrete Data200198Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167Márcia BaptistaTP1, TPDAYTIME1
Big Data for Marketing200202Ian ScottTP1
Consumer Behavior Insights200170Diego PintoTP1, TP2
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Data Visualization200162Marco NevesTP1
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Generative AI Applied to Marketing200316André LourençoTP1
Information Project Management200068António MonteiroTP1, TP2, TP3, TP4
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Ana EdmundoP1
Vasco JesusP2
Process Mining Powered By Nokia200296Joana NevesTP1, TP2
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
Social Media Analytics400081Ana EdmundoP1
Filip PetrovskyP3
Francisco AfonsoP4
Vasco JesusP2
UX Research200317Mijail NaranjoTP1

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