MGI-ISM-Electives
Code: 9434EC.GSI
Year: 1
Degree course name: 900 Elective Courses
Degree course acronym: Elective
Degree course code: 1002

Weeks: 24/11/2025
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
11:00 - 11:30                       11:00-13:00
Brand Management, 200197
[Auditorium Annex 2]
TPDAYTIME1
11:30 - 12:00                      
12:00 - 12:30                      
12:30 - 13:00                      
13:00 - 13:30                        
13:30 - 14:00                        
14:00 - 14:30       14:00-16:00
Data Mining I, 200026
[Room A101]
PDAYTIME1
14:00-16:00
Data Mining I, 200026
[Auditorium Annex 2]
PDAYTIME2
    14:00-16:00
Digital Transformation, 200324
[Auditorium Annex 1]
TPDAYTIME1
   
14:30 - 15:00              
15:00 - 15:30              
15:30 - 16:00              
16:00 - 16:30       16:00-18:00
Brand Management, 200197
[Auditorium Annex 2]
TPDAYTIME1
16:00-18:00
Business Intelligence I, 200012
[Room 4]
PDAYTIME1
16:00-18:00
Business Intelligence I, 200012
[Room 7]
PDAYTIME2
16:00-18:00
Business Process Management, 200014
[Auditorium A224]
PDAYTIME1
       
16:30 - 17:00              
17:00 - 17:30              
17:30 - 18:00              
18:00 - 18:30                        
18:30 - 19:00 18:30-20:30
Applied Network Analysis, 200268
[Room 7]
TP1
18:30-20:30
Multivariate Analytics, 200319
[Room 8]
P1
18:30-20:30
Data Mining I, 200026
[Auditorium Annex 2]
TP2
18:30-20:30
Business Intelligence I, 200012
[Room2 Executives]
P1
18:30-20:30
Business Intelligence I, 200012
[Room 1]
P2
18:30-20:30
Business Intelligence I, 200012
[Room 4]
P3
    18:30-20:30
DataBase Management Systems, 200032
[Room 5]
TP2
18:30-20:30
Digital Transformation, 200324
[Auditorium Annex 1]
TP2
   
19:00 - 19:30        
19:30 - 20:00        
20:00 - 20:30        
20:30 - 21:00 20:30-22:30
Multivariate Analytics, 200319
[Room 1]
P2
20:30-22:30
Business Process Management, 200014
[Room 7]
P4
20:30-22:30
Data Mining I, 200026
[Auditorium Annex 2]
TP1
20:30-22:30
Business Intelligence I, 200012
[Room2 Executives]
P4
20:30-22:30
Business Intelligence I, 200012
[Room 1]
P5
20:30-22:30
Business Intelligence I, 200012
[Room 4]
P6
20:30-22:30
Business Process Management, 200014
[Room 1]
P1
20:30-22:30
Business Process Management, 200014
[Room 4]
P2
20:30-22:30
DataBase Management Systems, 200032
[Room 5]
TP1
   
21:00 - 21:30    
21:30 - 22:00    
22:00 - 22:30    

ModuleAcademic staff memberSection
NameCodeAcronym
Applied Network Analysis200268Flávio PinheiroTP1
Maria AlmeidaTP1
Brand Management200197Simoni RohdenTPDAYTIME1
Business Intelligence I200012Duarte RodriguesPDAYTIME1
Bruno JardimP1, P4
Luís BatistaP2, P5
Rita OliveiraPDAYTIME2
Rui MonteiroP3, P6
Business Process Management200014Bruno RodriguesP2, P4
João GomesP1
Sofia Reynaud RochaPDAYTIME1
Data Mining I200026Fernando BaçãoTP1, TP2
Guilherme CordeiroPDAYTIME2
Sofia PereiraPDAYTIME1
DataBase Management Systems200032Jorge NevesTP1, TP2
Digital Transformation200324João CostaTPDAYTIME1
Jorge CarrolaTP2
Multivariate Analytics200319Daniela ClaroP1, P2

Print date: 17/11/2025 12:05:28
Observations: TP - Theoretical Classes ; P - Practical Classes