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

Weeks: 17/02/2025
Period Fall/Spring
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
13:30                 13:30-15:30
Big Data for Marketing
[Annex Auditorium 1 (Annex)]
TPDAYTIME1
         
14:00                          
14:30                          
15:00                          
15:30 15:30-17:30
Consumer Behavior Insights
[A14 (Almada Negreiros College)]
TPDAYTIME1
          15:30-17:30
Machine Learning in Marketing
[Annex Auditorium 2 (Annex)]
TPDAYTIME1
15:30-17:30
Market Research
[Annex Auditorium 1 (Annex)]
TPDAYTIME1
         
16:00 16:00-18:00
Knowledge Management
[INE Auditorium (Manuel Vilares Building)]
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
[Annex Auditorium 1 (Annex)]
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
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP4
18:30-20:30
Knowledge Management
[Annex Auditorium 2 (Annex)]
TP2
18:30-20:30
Machine Learning in Marketing
[INE Auditorium (Manuel Vilares Building)]
TP1
18:30-20:30
Predictive Analytics in Marketing
[A101 (Almada Negreiros College)]
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
Market Research
[Annex Auditorium 1 (Annex)]
TP2
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
Knowledge Management
[Annex Auditorium 2 (Annex)]
TP1
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, TPDAYTIME1
Consumer Behavior Insights200170Diego PintoTP1, TP2, TPDAYTIME1
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Data Visualization200162Manuel LimaTP1
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Generative AI Aplied to Marketing 200316Diego PintoTP1
Information Project Management200068António MonteiroTP1, TP2, TP3, TP4
Knowledge Management200323G. VictorinoTP1, TP2, TPDAYTIME1
João MartinsTP1, TP2, TPDAYTIME1
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 Nokia200296Joana NevesTP1, TP2
Smart and Sustainable Cities200261André BarriguinhaTP1
Miguel NetoTP1
UX Research200317Mijail NaranjoTP1

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