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

Weeks: 01/04/2024
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
[Room 2 (First Floor) (Manuel Vilares Building)]
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
[INE Auditorium (Manuel Vilares Building)]
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
Business Intelligence II
[Room 1 (First Floor) (Manuel Vilares Building)]
PDAYTIME2
16:00-18:00
Machine Learning in Marketing
[INE Auditorium (Manuel Vilares Building)]
TPDAYTIME1
16:00-18:00
Social Media Analytics
[Annex Auditorium 2 (Annex)]
TPDAYTIME1
16:00-18:00
Business Intelligence II
[A144 (Almada Negreiros College)]
PDAYTIME1
   
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
[Annex Auditorium 1 (Annex)]
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
[Room 7 (Ground Floor) (Manuel Vilares Building)]
P1
18:30-20:30
Business Intelligence II
[Room 6 (First Floor) (Manuel Vilares Building)]
P2
18:30-20:30
Business Intelligence II
[Room 3 (First Floor) (Manuel Vilares Building)]
P3
18:30-20:30
Machine Learning in Marketing
[INE Auditorium (Manuel Vilares Building)]
TP1
18:30-20:30
Knowledge Management
[Annex Auditorium 2 (Annex)]
TP2
18:30-20:30
Social Media Analytics
[A14 (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
[INE Auditorium (Manuel Vilares Building)]
TP1
20:30-22:30
Business Intelligence II
[Room 7 (Ground Floor) (Manuel Vilares Building)]
P4
20:30-22:30
Business Intelligence II
[Room 6 (First Floor) (Manuel Vilares Building)]
P5
20:30-22:30
Business Intelligence II
[Room 3 (First Floor) (Manuel Vilares Building)]
P6
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 JardimP1, P4
Duarte RodriguesPDAYTIME1, PDAYTIME2
Luís BatistaP2, P5
R_MonteiroP3, P6
400019André MestreTP1
Tiago EstevesTP1
200162Manuel LimaTP1
Nuno AlpalhãoTP1
200071João MartinsTP1, 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