MDDM-MI-Electives Code: 9435ECMDDMMI Year: 1 Degree course name: 900 Elective Courses Degree course acronym: Elective Degree course code: 1002 Weeks: 13/10/2025 Period FALL & SPRING Year 2025-2026
Hours	Monday	Tuesday	Wednesday		Thursday		Friday	Saturday
16:00 - 16:30			16:00-18:00 Data Science for Marketing, 200201 [Room2 Executives] PDAYTIME2		16:00-18:00 Digital Analytics, 400082 [Auditorium A224] TPDAYTIME2
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 Experimental Design, 200163 [Auditorium Annex 1] TP1	18:30-20:30 Data Science for Marketing, 200201 [Room5 Executives] P2		18:30-20:30 DataBase Management Systems, 200032 [Room 5] TP2	18:30-20:30 Descriptive Analytics in Marketing, 200189 [Auditorium A224] TP1
19:00 - 19:30
19:30 - 20:00
20:00 - 20:30
20:30 - 21:00	20:30-22:30 Digital Analytics, 400082 [Auditorium Annex 1] TP2		20:30-22:30 Data Science for Marketing, 200201 [Room2 Executives] P3	20:30-22:30 Data Science for Marketing, 200201 [Room5 Executives] P4	20:30-22:30 DataBase Management Systems, 200032 [Room 5] TP1
21:00 - 21:30
21:30 - 22:00
22:00 - 22:30

Module		Academic staff member	Section
Name	Code	Acronym
Applied Network Analysis	200268	Flávio Pinheiro	TP1
		Maria Almeida	TP1
Data Science for Marketing	200201	Ana Edmundo	P3, PDAYTIME2
		André Mota dos Santos	P2, P4
DataBase Management Systems	200032	Jorge Neves	TP1, TP2
Descriptive Analytics in Marketing	200189	Catarina Neves	TP1
		Pedro Coelho	TP1
Digital Analytics	400082	Bruno Amaral	TP2, TPDAYTIME2
Experimental Design	200163	Simoni Rohden	TP1

Print date: 17/11/2025 12:04:25
Observations: TP - Theoretical Classes ; P - Practical Classes