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

Weeks: 24/02/2025
Period 2nd Semester
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00                             09:00-11:00
Social Media Analytics
[A120 (Almada Negreiros College)]
TPDAYTIME1
 
09:30                             09:30-11:30
Information Project Management
[Room 6 (Manuel Vilares Building)]
TP3
10:00                            
10:30                            
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               13:30-15:30
Big Data for Marketing
[Annex Auditorium 1 (Annex)]
TPDAYTIME1
       
14:00                      
14:30                      
15:00                          
15:30                                
16:00     16:00-18:00
Social Media Analytics
[A120 (Almada Negreiros College)]
TPDAYTIME1
16:00-18:00
Machine Learning in Marketing
[Annex Auditorium 2 (Annex)]
TPDAYTIME1
      16:00-18:00
Machine Learning in Marketing
[A120 (Almada Negreiros College)]
TPDAYTIME1
   
16:30              
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
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP4
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
Predictive Analytics in Marketing
[Room 7 (Manuel Vilares Building)]
TP1
18:30-20:30
Generative AI Applied to Marketing
[A120 (Almada Negreiros College)]
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
18:30-20:30
Machine Learning in Marketing
[INE Auditorium (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
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 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
Big Data for Marketing200202Ian ScottTP1, TPDAYTIME1
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 Marketing200203Nuno AntónioTP1, TPDAYTIME1
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Process Mining Powered By Nokia200296Joana NevesTP1, TP2
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
Social Media Analytics400081João Martins FreitasTP1, TP2, TPDAYTIME1

Print date: 17/03/2025 18:17:41
Observations: Green - Theoretical Classes ; Grey - Pratical Classes