2 Master - Data Driven Marketing - Data Science for Marketing - 1st Year
Code: 9435-1-3
Year: 1
Degree course name: 2 Master in Data Driven Marketing
Degree course acronym: MDDM
Degree course code: 9435

Weeks: 26/09/2022
Period Fall Semester
Year 2022/2023
 
 
Hours Monday
26/09/2022
Tuesday
27/09/2022
Wednesday
28/09/2022
Thursday
29/09/2022
Friday
30/09/2022
Saturday
01/10/2022
08:00 - 08:30              
08:30 - 09:00              
09:00 - 09:30              
09:30 - 10:00              
10:00 - 10:30              
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              
16:30 - 17:00              
17:00 - 17:30              
17:30 - 18:00              
18:00 - 18:30              
18:30 - 19:00   18:30-20:30
Dscience Mark
[(Diogo Diogo)]
[A101]
P3
18:30-20:30
Dscience Mark
[(Ana Edmundo)]
[Annex Auditorium 2]
P4
  18:30-20:30
SNA
[(Flávio Pinheiro); (Pedro Alves)]
[A120]
TP1
   
19:00 - 19:30        
19:30 - 20:00        
20:00 - 20:30        
20:30 - 21:00   20:30-22:30
Dscience Mark
[(Diogo Diogo)]
[Room 4 (First Floor)]
P1
20:30-22:30
Dscience Mark
[(Ana Edmundo)]
[Room 7 (Ground Floor)]
P2
  20:30-22:30
Market Marketin Innovation
[(Diego Pinto); (G. Victorino)]
[Annex Auditorium 2]
TP3
   
21:00 - 21:30        
21:30 - 22:00        
22:00 - 22:30        
22:30 - 23:00              

Academic Staff
Name Acronym Code
ANA ISABEL NEVES EDMUNDO Ana Edmundo 407
DIEGO COSTA PINTO Diego Pinto 196
DIOGO DE BERNARDES HENRIQUES E ALMEIDA DIOGO Diogo Diogo 416
FLÁVIO LUÍS PORTAS PINHEIRO Flávio Pinheiro 223
GUILHERME HIDALGO BARATA MARTINS VICTORINO G. Victorino 119
PEDRO MIGUEL FERNANDES SANTOS ALVES Pedro Alves 347
Modules
Name Acronym Code
Data Science for Marketing Dscience Mark 200201
Marketing Strategy and Innovation Market Marketin Innovation 200187
Social Network Analysis SNA 200204

Print date: 17/11/2022 10:01:13