MDDM-DSM-Electives
Code: 9435ECMDDMDS4M
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 11/05/2026 - 18/05/2026
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
14:00 - 14:30                           14:00-16:00
Market Research, 200049
[Auditorium Annex 1]
TPDAYTIME1
   
14:30 - 15:00                              
15:00 - 15:30                              
15:30 - 16:00                              
16:00 - 16:30         16:00-18:00
Social Media Analytics, 400081
[Auditorium Annex 2]
PDAYTIME3
        16:00-18:00
Search Engine Optimization, 200200
[Auditorium Annex 1]
TPDAYTIME1
       
16:30 - 17:00 16:30-18:30
Consumer Behavior Insights, 200170
[Room 2]
PDAYTIME2
        16:30-18:30
Big Data Analytics, 200167
[Room 1]
TPDAYTIME1
   
17:00 - 17:30            
17:30 - 18:00            
18:00 - 18:30                        
18:30 - 19:00 18:30-20:30
Consumer Behavior Insights, 200170
[Room 4]
P5
18:30-20:30
Leadership and People Management, 400023
[Room 5]
TP2
18:30-20:30
Process Mining Powered By Nokia, 200296
[Room 7]
P1
18:30-20:30
Process Mining Powered By Nokia, 200296
[Room 8]
P2
18:30-20:30
Analysis of Variance, 200205
[Room 4]
TP1
18:30-20:30
Social Media Analytics, 400081
[Auditorium INE]
P1
18:30-20:30
Social Media Analytics, 400081
[Auditorium A14]
P2
18:30-20:30
Leadership and People Management, 400023
[Room 5]
TP3
18:30-20:30
UX Research, 200317
[Room 3]
TP1
18:30-20:30
Social Media Analytics, 400081
[Auditorium Annex 1]
P3
18:30-20:30
Market Research, 200049
[Auditorium Annex 2]
TP1
18:30-20:30
Predictive Analytics in Marketing, 200190
[Room 8]
TP1
18:30-20:30
Social Media Analytics, 400081
[Room 7]
P4
18:30-20:30
Big Data Analytics, 200167
[Room 1]
TP1
18:30-20:30
Smart and Sustainable Cities, 200261
[Room 3]
TP1
18:30-20:30
Search Engine Optimization, 200200
[Auditorium Annex 2]
TP2
   
19:00 - 19:30    
19:30 - 20:00    
20:00 - 20:30    
20:30 - 21:00 20:30-22:30
Consumer Behavior Insights, 200170
[Room 3]
P1
20:30-22:30
Consumer Behavior Insights, 200170
[Auditorium Annex 2]
P2
20:30-22:30
Process Mining Powered By Nokia, 200296
[Room 7]
P3
20:30-22:30
Process Mining Powered By Nokia, 200296
[Room 8]
P4
20:30-22:30
Data Visualization, 200162
[Auditorium A13]
TP1 | TP2
20:30-22:30
Leadership and People Management, 400023
[Room 5]
TP4
20:30-22:30
Customer Relationship Management Systems, 400019
[Room 1]
TP1
20:30-22:30
Market Research, 200049
[Auditorium Annex 2]
TP2
20:30-22:30
Search Engine Optimization, 200200
[Auditorium Annex 1]
TP1
20:30-22:30
Enterprise Cloud and Mobility, 400021
[Room 7]
TP1
   
21:00 - 21:30    
21:30 - 22:00    
22:00 - 22:30    

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Variance200205Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167José Américo RioTP1, TPDAYTIME1
Consumer Behavior Insights200170Docente a designarP1, P5
Joana NunesPDAYTIME2
Mariana Girão CarrilhoP2
Customer Relationship Management Systems400019André MestreTP1
Data Visualization200162Cong LiuTP1 | TP2
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Market Research200049Simoni RohdenTP1, TP2, TPDAYTIME1
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Process Mining Powered By Nokia200296Rita LourençoP1, P3
Sofia LourençoP2, P4
Search Engine Optimization200200Bruno Brás NunesTP1, TP2, TPDAYTIME1
Smart and Sustainable Cities200261Miguel NetoTP1
Social Media Analytics400081Ana EdmundoP1, P3
André Mota dos SantosP2
Filip PetrovskyP4
Francisco AfonsoPDAYTIME3
UX Research200317Mijail NaranjoTP1

Print date: 24/09/2025 18:17:42
Observations: TP - Theoretical Classes ; P - Practical Classes