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

Weeks: 08/04/2024
Period SPRING
Year 2023-2024
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:00 - 10:30         10:00-12:00
Knowledge Management
[Annex Auditorium 1 (Annex)]
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                        
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
[INE Auditorium (Manuel Vilares Building)]
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
[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
[Annex Auditorium 2 (Annex)]
TP1
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
Big Data for Marketing
[A144 (Almada Negreiros College)]
P1
   
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
[Annex Auditorium 2 (Annex)]
TP2
20:30-22:30
Process Mining Powered By Nokia
[INE Auditorium (Manuel Vilares Building)]
TP2
  20:30-22:30
Process Mining Powered By Nokia
[Room 5 (First Floor) (Manuel Vilares Building)]
TP1
20:30-22:30
Big Data for Marketing
[A144 (Almada Negreiros College)]
P2
   
21:00 - 21:30      
21:30 - 22:00      
22:00 - 22:30      

ModuleAcademic staff memberSection
CodeAcronym
200202Helena Dinis OliveiraP1, P2
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

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