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

Weeks: 19/02/2024
Period SPRING
Year 2023-2024
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:00 - 10:30         10:00-12:00
Knowledge Management
[INE Auditorium (Manuel Vilares Building)]
TPDAYTIME1
           
10:30 - 11:00                    
11:00 - 11:30         11:00-13:00
Big Data Analytics
[A120 (Almada Negreiros College)]
TPDAYTIME1
       
11:30 - 12:00                
12:00 - 12:30                      
12:30 - 13:00                      
13:00 - 13:30                          
13:30 - 14:00 13:30-15:30
Big Data for Marketing
[A14 (Almada Negreiros College)]
TPDAYTIME1
                 
14:00 - 14:30                  
14:30 - 15:00                  
15:00 - 15:30                  
15:30 - 16:00                          
16:00 - 16:30         16:00-18:00
Machine Learning in Marketing
[A120 (Almada Negreiros College)]
TPDAYTIME1
16:00-18:00
Social Media Analytics
[Annex Auditorium 2 (Annex)]
TPDAYTIME1
16:00-18:00
Business Intelligence II
[Annex Auditorium 1 (Annex)]
TPDAYTIME1
   
16:30 - 17:00            
17:00 - 17:30            
17:30 - 18:00            
18:00 - 18:30                          
18:30 - 19:00 18:30-20:30
Customer Relationship Management Systems
[Room 8 (Ground Floor) (Manuel Vilares Building)]
TP1
18:30-20:30
Data Visualization
[A120 (Almada Negreiros College)]
TP1
18:30-20:30
Sampling Theory and Methods
[Room 5 (First Floor) (Manuel Vilares Building)]
TP1
18:30-20:30
Predictive Analytics in Marketing
[Room 7 (Ground Floor) (Manuel Vilares Building)]
TP1
18:30-20:30
Business Intelligence II
[A120 (Almada Negreiros College)]
TP1
18:30-20:30
Machine Learning in Marketing
[Annex Auditorium 2 (Annex)]
TP1
18:30-20:30
Knowledge Management
[Annex Auditorium 2 (Annex)]
TP2
18:30-20:30
Social Media Analytics
[A120 (Almada Negreiros College)]
TP1
18:30-20:30
Big Data Analytics
[Annex Auditorium 1 (Annex)]
TP1
18:30-20:30
Big Data for Marketing
[INE Auditorium (Manuel Vilares Building)]
TP1
   
19:00 - 19:30    
19:30 - 20:00    
20:00 - 20:30    
20:30 - 21:00 20:30-22:30
Predictive Analytics in Marketing
[Room 7 (Ground Floor) (Manuel Vilares Building)]
TP2
20:30-22:30
Knowledge Management
[Annex Auditorium 1 (Annex)]
TP1
20:30-22:30
Business Intelligence II
[A120 (Almada Negreiros College)]
TP2
20:30-22:30
Process Mining Powered By Nokia
[Annex Auditorium 2 (Annex)]
TP2
    20:30-22:30
Process Mining Powered By Nokia
[Room 5 (First Floor) (Manuel Vilares Building)]
TP1
   
21:00 - 21:30        
21:30 - 22:00        
22:00 - 22:30        

ModuleAcademic staff memberSection
CodeAcronym
200167Flávio PinheiroTP1, TPDAYTIME1
200202Ian ScottTP1, TPDAYTIME1
200013Bruno JardimTPDAYTIME1
Luís BatistaTP1, TP2
Miguel NetoTP1, TP2, TPDAYTIME1
400019André MestreTP1
Tiago EstevesTP1
200162Manuel LimaTP1
Nuno AlpalhãoTP1
200071G. VictorinoTP1, TP2, TPDAYTIME1
200203Nuno AntónioTP1, TPDAYTIME1
200190Tiago OliveiraTP1, TP2
Tiago BrancoTP1, TP2
200296Joana NevesTP1, TP2
200184Liliana ManoelTP1
Pedro CoelhoTP1
400081Nuno AntónioTP1, TPDAYTIME1

Print date: 12/06/2024 13:55:21
Observations: Green - Theoretical Classes ;Grey - Pratical Classes