900 Elective Courses; Elective; 1002 - Year: 1 - MDSAA-DS_ELECTIVES

Weeks: 20/04/2026 - 01/06/2026
Period FALL & SPRING
Year 2025-2026
 
 
Hours Monday Tuesday Wednesday Thursday Friday Saturday
10:00 - 10:30   10:00-11:30
Machine Learning Operations, 200293
[Auditorium A120]
TP1
       
10:30 - 11:00          
11:00 - 11:30          
11:30 - 12:00 11:30-13:00
Reinforcement Learning, 200295
[Auditorium Annex 1]
TP1
11:30-13:00
Machine Learning Operations, 200293
[Room 6]
P2
       
12:00 - 12:30        
12:30 - 13:00        
13:00 - 13:30              
13:30 - 14:00   13:30-15:00
Neural and Evolutionary Learning, 200294
[Room 7]
P2
       
14:00 - 14:30          
14:30 - 15:00          
15:00 - 15:30 15:00-16:30
Neural and Evolutionary Learning, 200294
[Auditorium A14]
TP1
15:00-16:30
Machine Learning Operations, 200293
[Room 3]
P3
15:00-16:30
Neural and Evolutionary Learning, 200294
[Room 8]
P1
15:00-16:30
Reinforcement Learning, 200295
[Room 5]
P3
15:00-16:30
Reinforcement Learning, 200295
[Room A101]
P2
   
15:30 - 16:00    
16:00 - 16:30    
16:30 - 17:00   16:30-18:00
Machine Learning Operations, 200293
[Room 8]
P1
  16:30-18:00
Reinforcement Learning, 200295
[Room A101]
P1
   
17:00 - 17:30        
17:30 - 18:00        
18:00 - 18:30              
18:30 - 19:00              
19:00 - 19:30              
19:30 - 20:00              
20:00 - 20:30              
20:30 - 21:00 20:30-22:30
Leadership and People Management, 400023
[Room A101]
TP1
           
21:00 - 21:30            
21:30 - 22:00            
22:00 - 22:30            

ModuleAcademic staff memberSection
NameCodeAcronym
Leadership and People Management400023António MartinsTP1
Gustavo MadeiraTP1
Machine Learning Operations200293Nuno RosaP1, P2, P3, TP1
Neural and Evolutionary Learning200294Karina Brotto RebuliP1, P2
L. VanneschiTP1
Reinforcement Learning200295Nuno AlpalhãoP1, P2, P3, TP1
Roberto HenriquesTP1

Print date: 30/01/2026 18:02:34
Observations: TP - Theoretical Classes

; P - Practical Classes