02 MDDM-MRCRM - Electives
Code: 9435ECMDDMMRCRM
Year: 1
Degree course name: 99 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 24/02/2025		 Period Fall/Spring
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
11:00                             11:00-13:00
Social Media Analytics
[A120 (Almada Negreiros College)]
TP1
11:30                            
12:00                            
12:30                            
13:00                             13:00-15:00
Social Media Analytics
[A120 (Almada Negreiros College)]
TP2
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
[INE Auditorium (Manuel Vilares Building)]
TP2		 18:30-20:30
Analysis of Discrete Data
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Consumer Behavior Insights
[A120 (Almada Negreiros College)]
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
Social Media Analytics
[Annex Auditorium 2 (Annex)]
TP1		 18:30-20:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP4		 18:30-20:30
Machine Learning in Marketing
[INE Auditorium (Manuel Vilares Building)]
TP1		 18:30-20:30
Generative AI Aplied to Marketing
[INE Auditorium (Manuel Vilares Building)]
TP1		 18:30-20:30
Information Project Management
[Room 3 (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
[INE Auditorium (Manuel Vilares Building)]
TP1		 20:30-22:30
Big Data for Marketing
[Annex Auditorium 1 (Annex)]
TP1		 20:30-22:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP3		 20:30-22:30
Consumer Behavior Insights
[A120 (Almada Negreiros College)]
TP2		 20:30-22:30
Data Visualization
[A13 (Almada Negreiros College)]
TP1		 20:30-22:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP3		 20:30-22:30
Social Media Analytics
[Annex Auditorium 2 (Annex)]
TP2		 20:30-22:30
Leadership and People Management
[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 4 (Manuel Vilares Building)]
TP2		 20:30-22:30
Enterprise Cloud and Mobility
[A101 (Almada Negreiros College)]
TP1		    
21:00    
21:30    
22:00    

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Discrete Data200198Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167Marcia BaptistaTP1, TPDAYTIME1
Big Data for Marketing200202Ian ScottTP1
Consumer Behavior Insights200170Diego PintoTP1, TP2
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Data Visualization200162Manuel LimaTP1
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Generative AI Aplied to Marketing 200316André LourençoTP1
Information Project Management200068António MonteiroTP1, TP2, TP3, TP4
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Nuno AntónioTP1
Process Mining Powered By Nokia200296Joana NevesTP1, TP2
Smart and Sustainable Cities200261André BarriguinhaTP1
Miguel NetoTP1
Social Media Analytics400081Nuno AntónioTP1, TP2
UX Research200317Mijail NaranjoTP1

Print date: 11/12/2024 11:35:00
Observations: Green - Theoretical Classes ; Grey - Pratical Classes