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

Weeks: 17/03/2025
Period Spring Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
13:30                 13:30-15:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
TPDAYTIME1
       
14:00                        
14:30                        
15:00                        
15:30                              
16:00       16:00-18:00
Social Media Analytics
[Auditorium A14 (Almada Negreiros College)]
PDAYTIME1
16:00-18:00
Social Media Analytics
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2
16:00-18:00
Social Media Analytics
[Auditorium A120 (Almada Negreiros College)]
PDAYTIME3
16:00-18:00
Machine Learning in Marketing
[Auditorium Annex 2 (Annex)]
PDAYTIME1
16:00-18:00
Machine Learning in Marketing
[Room5 Executives (Almada Negreiros College)]
PDAYTIME2
       
16:30              
17:00              
17:30              
18:00                              
18:30 18:30-20:30
Customer Relationship Management Systems
[Room 8 (Manuel Vilares Building)]
TP1
18:30-20:30
Process Mining Powered By Nokia
[Room 2 (Manuel Vilares Building)]
P3
18:30-20:30
Process Mining Powered By Nokia
[Room 4 (Manuel Vilares Building)]
P4
18:30-20:30
Social Media Analytics
[Auditorium Annex 2 (Annex)]
P1
18:30-20:30
Social Media Analytics
[Room 6 (Manuel Vilares Building)]
P2
18:30-20:30
Analysis of Discrete Data
[Room 5 (Manuel Vilares Building)]
TP1
18:30-20:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP4
18:30-20:30
UX Research
[Room 1 (Manuel Vilares Building)]
TP1
18:30-20:30
Machine Learning in Marketing
[Auditorium INE (Manuel Vilares Building)]
P1
18:30-20:30
Predictive Analytics in Marketing
[Room 7 (Manuel Vilares Building)]
TP1
18:30-20:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP4
18:30-20:30
Generative AI Applied to Marketing
[Auditorium Annex 1 (Annex)]
TP1
18:30-20:30
Information Project Management
[Room 5 (Manuel Vilares Building)]
TP1
   
19:00    
19:30    
20:00    
20:30 20:30-22:30
Process Mining Powered By Nokia
[Room 3 (Manuel Vilares Building)]
P1
20:30-22:30
Process Mining Powered By Nokia
[Room 5 (Manuel Vilares Building)]
P2
20:30-22:30
Big Data for Marketing
[Auditorium Annex 1 (Annex)]
TP1
20:30-22:30
Information Project Management
[Room 4 (Manuel Vilares Building)]
TP3
20:30-22:30
Social Media Analytics
[Room 5 (Manuel Vilares Building)]
P3
20:30-22:30
Data Visualization
[Auditorium A13 (Almada Negreiros College)]
TP1
20:30-22:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP3
20:30-22:30
Leadership and People Management
[Room A101 (Almada Negreiros College)]
TP2
20:30-22:30
Smart and Sustainable Cities
[Room 7 (Manuel Vilares Building)]
TP1
20:30-22:30
Information Project Management
[Room 5 (Manuel Vilares Building)]
TP2
20:30-22:30
Enterprise Cloud and Mobility
[Room 1 (Manuel Vilares Building)]
TP1
20:30-22:30
Social Media Analytics
[Room 1 (Manuel Vilares Building)]
P4
 
21:00  
21:30  
22:00  

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Discrete Data200198Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data for Marketing200202Ian ScottTP1, TPDAYTIME1
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Data Visualization200162Marco NevesTP1
Enterprise Cloud and Mobility400021Henrique CarreiroTP1
Generative AI Applied to Marketing200316André LourençoTP1
Information Project Management200068António MonteiroTP1, TP2, TP3, TP4
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Machine Learning in Marketing200203Ana EdmundoP1, PDAYTIME1
Vasco JesusPDAYTIME2
Predictive Analytics in Marketing200190Tiago OliveiraTP1
Tiago BrancoTP1
Process Mining Powered By Nokia200296Rita LourençoP1, P3
Sofia LourençoP2, P4
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1
Social Media Analytics400081Ana EdmundoP1, PDAYTIME2
Filip PetrovskyP3, PDAYTIME3
Francisco AfonsoP4
Vasco JesusP2, PDAYTIME1
UX Research200317Mijail NaranjoTP1

Print date: 02/06/2025 18:03:49
Observations: Green - Theoretical Classes ; Grey - Pratical Classes