06 Elective Courses - MDDM-MRCRM
Code: 9435ECMDDMMRCRM
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                  
11:30 - 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
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
Consumer Behavior Insights
[Annex Auditorium 2 (Annex)]
TP2
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
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
Consumer Behavior Insights
[Annex Auditorium 2 (Annex)]
TP1
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
200202Ian ScottTP1, TPDAYTIME1
200013Bruno JardimP1, P4
Duarte RodriguesPDAYTIME1, PDAYTIME2
Luís BatistaP2, P5
R_MonteiroP3, P6
200170Diego PintoTP1, TP2
400019André MestreTP1
Tiago EstevesTP1
200162Manuel LimaTP1
Nuno AlpalhãoTP1
200071João MartinsTP1, TP2, TPDAYTIME1
200203Nuno AntónioTP1, TPDAYTIME1
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