02M Electives EGI AGI Data Analytics
Code: 4281EC.AGI
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 26/05/2025		 Period 2nd Semester
Year 2024-2025
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
09:00                           09:00-11:00
Insurance and Banking Regulation and Supervision
[Auditorium INE (Manuel Vilares Building)]
TP1		  
09:30                            
10:00                           10:00-12:00
Computational Statistics II
TP1
10:30                          
11:00                            
11:30                            
12:00                              
12:30                              
13:00                              
13:30                              
14:00                              
14:30                              
15:00                              
15:30                              
16:00                              
16:30                 16:30-18:30
Big Data Analytics
[Room 1 (Manuel Vilares Building)]
TPDAYTIME1		        
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 4 (Manuel Vilares Building)]
P4		 18:30-20:30
Analysis of Variance
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP4		 18:30-20:30
Financial Reporting
[Room2 Executives (Almada Negreiros College)]
TP1		 18:30-20:30
Big Data Analytics
[Room 5 (Manuel Vilares Building)]
TP1		 18:30-20:30
Financial Derivatives and Risk Management
[Auditorium Annex 1 (Annex)]
TP1		 18:30-20:30
Information Project Management II
[Room 4 (Manuel Vilares Building)]
TP1		 18:30-20:30
Blockchain
[Room 6 (Manuel Vilares Building)]
TP1		 18:30-20:30
Information Project Management II
[Room 4 (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
Computational Statistics II
[Room 2 (Manuel Vilares Building)]
TP1		 20:30-22:30
Credit Risk Management
[Auditorium Annex 2 (Annex)]
TP1		 20:30-22:30
Leadership and People Management
[Room 3 (Manuel Vilares Building)]
TP3		 20:30-22:30
Information Project Management II
[Room 1 (Manuel Vilares Building)]
TP3		 20:30-22:30
Leadership and People Management
[Auditorium INE (Manuel Vilares Building)]
TP2		 20:30-22:30
Smart and Sustainable Cities
[Room 7 (Manuel Vilares Building)]
TP1		 20:30-22:30
Information Project Management II
[Room 4 (Manuel Vilares Building)]
TP2		 20:30-22:30
Information Project Management II
[Room 4 (Manuel Vilares Building)]
TP2		    
21:00    
21:30    
22:00    

ModuleAcademic staff memberSection
NameCodeAcronym
Analysis of Variance200205Bruno DamásioTP1
Carolina VasconcelosTP1
Big Data Analytics200167Márcia BaptistaTP1, TPDAYTIME1
Blockchain200269Ian ScottTP1
Computational Statistics II400008Ana CostaTP1
Credit Risk Management200311Samuel Rocha LopesTP1
Customer Relationship Management Systems400019André MestreTP1
Tiago EstevesTP1
Financial Derivatives and Risk Management200308Jorge BravoTP1
Financial Reporting400014Fábio AlbuquerqueTP1
Information Project Management II200217António MonteiroTP1, TP2, TP3
Insurance and Banking Regulation and Supervision200309Hugo BorginhoTP1
Pedro RealTP1
Leadership and People Management400023António MartinsTP2, TP3, TP4
Gustavo MadeiraTP2, TP3, TP4
Process Mining Powered By Nokia200296Rita LourençoP1
Sofia LourençoP2, P4
Smart and Sustainable Cities200261André BarriguinhaTP1
Candela PellizaTP1
Miguel NetoTP1
Nuno SousaTP1

Print date: 12/05/2025 18:04:07
Observations: Green - Theoretical Classes ; Grey - Pratical Classes