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

Weeks: 11/03/2024
Period SPRING
Year 2023-2024
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:00 - 10:30       10:00-12:00
Knowledge Management
[A101 (Almada Negreiros College)]
PDAYTIME1
10:00-12:00
Knowledge Management
[Room 7 (Ground Floor) (Manuel Vilares Building)]
PDAYTIME2
                   
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
[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
Big Data Modelling and Management
[A120 (Almada Negreiros College)]
PDAYTIME1
16:00-18:00
Machine Learning in Marketing
[Annex Auditorium 1 (Annex)]
PDAYTIME2
16:00-18:00
Social Media Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME3
16:00-18:00
Social Media Analytics
[Annex Auditorium 2 (Annex)]
PDAYTIME1
16:00-18:00
Social Media Analytics
[Room2 Executives (Almada Negreiros College)]
PDAYTIME2
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
Business Intelligence II
[A120 (Almada Negreiros College)]
TP1
18:30-20:30
Machine Learning in Marketing
[Annex Auditorium 2 (Annex)]
P1
18:30-20:30
Machine Learning in Marketing
[Room 2 (First Floor) (Manuel Vilares Building)]
P2
18:30-20:30
Knowledge Management
[Room 8 (Ground Floor) (Manuel Vilares Building)]
P3
18:30-20:30
Knowledge Management
[Annex Auditorium 2 (Annex)]
P4
18:30-20:30
Social Media Analytics
[Room 1 (First Floor) (Manuel Vilares Building)]
P1
18:30-20:30
Social Media Analytics
[A120 (Almada Negreiros College)]
P2
18:30-20:30
Social Media Analytics
[Room2 Executives (Almada Negreiros College)]
P3
18:30-20:30
Social Media Analytics
[A102 (Almada Negreiros College)]
P4
18:30-20:30
Consumer Behavior Insights
[Salão Nobre (Almada Negreiros College)]
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
[Room 8 (Ground Floor) (Manuel Vilares Building)]
P1
20:30-22:30
Knowledge Management
[Room 3 (First Floor) (Manuel Vilares Building)]
P2
20:30-22:30
Business Intelligence II
[A120 (Almada Negreiros College)]
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)]
P1
   
21:00 - 21:30                      
21:30 - 22:00                      
22:00 - 22:30                      

ModuleAcademic staff memberSection
CodeAcronym
200202Ian ScottTP1, TPDAYTIME1
200207Ian ScottPDAYTIME1
200013Bruno JardimTPDAYTIME1
Luís BatistaTP1, TP2
Miguel NetoTP1, TP2, TPDAYTIME1
200170Diego PintoTP1, TP2
400019André MestreTP1
Tiago EstevesTP1
200162Manuel LimaTP1
Nuno AlpalhãoTP1
200071G. VictorinoP1, P3, PDAYTIME2
João MartinsP2, P4, PDAYTIME1
200203Ana EdmundoP1
Hugo SilvaP2
Vasco JesusPDAYTIME2
200296Sofia LourençoP1
200184Liliana ManoelTP1
Pedro CoelhoTP1
400081Ana EdmundoP3, PDAYTIME2
Filip PetrovskyP1, PDAYTIME3
Francisco AfonsoP4
Vasco JesusP2, PDAYTIME1

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