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

Weeks: 30/09/2024
Period Fall/Spring
Year 2024/2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
16:00     16:00-18:00
Data Science for Marketing
[Room2 Executives (Almada Negreiros College)]
PDAYTIME1
16:00-18:00
Data Science for Marketing
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2
       
16:30 16:30-18:30
Digital Analytics
[Annex Auditorium 2 (Annex)]
TPDAYTIME1
  16:30-18:30
Digital Analytics
[A120 (Almada Negreiros College)]
TPDAYTIME2
   
17:00      
17:30      
18:00            
18:30 18:30-20:30
Experimental Design
[Annex Auditorium 2 (Annex)]
TP1
  18:30-20:30
Data Science for Marketing
[Room 7 (Manuel Vilares Building)]
P1
18:30-20:30
DataBase Management Systems
[Room 6 (Manuel Vilares Building)]
TP1
18:30-20:30
Data Science for Marketing
[Room 1 (Manuel Vilares Building)]
P2
 
19:00    
19:30    
20:00    
20:30 20:30-22:30
Digital Analytics
[Annex Auditorium 1 (Annex)]
TP2
  20:30-22:30
Applied Network Analysis
[Annex Auditorium 1 (Annex)]
TP1
20:30-22:30
Data Science for Marketing
[Room 7 (Manuel Vilares Building)]
P3
20:30-22:30
Descriptive Analytics in Marketing
[Room 3 (Manuel Vilares Building)]
P2
20:30-22:30
DataBase Management Systems
[Room 5 (Manuel Vilares Building)]
TP2
20:30-22:30
Digital Analytics
[Annex Auditorium 1 (Annex)]
TP1
20:30-22:30
Data Science for Marketing
[Room 1 (Manuel Vilares Building)]
P4
 
21:00    
21:30    
22:00    

ModuleAcademic staff memberSection
NameCodeAcronym
Applied Network Analysis200268Flávio PinheiroTP1
Maria AlmeidaTP1
Data Science for Marketing200201Francisco AfonsoP2, P4, PDAYTIME1
Vasco JesusP1, P3, PDAYTIME2
DataBase Management Systems200032Jorge NevesTP1, TP2
Descriptive Analytics in Marketing200189Catarina NevesP2
Digital Analytics400082Bruno AmaralTP1, TP2, TPDAYTIME1, TPDAYTIME2
Experimental Design200163Simoni RohdenTP1

Print date: 03/01/2025 10:26:47
Observations: Green - Theoretical Classes ; Grey - Pratical Classes