Seminars in Artificial Intelligence

Code:

M.IA006

Acronym:

SIA

Keywords
Classification	Keyword
OFICIAL	Computer Science
OFICIAL	Informatics Engineering

Instance: 2025/2026 - 1S

Active?	Yes
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Master in Artificial Intelligence

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
M.IA	50	Syllabus	2	-	6	42	162

Teaching language

Portuguese and english
Obs.: Obs.: Excecionalmente, os seminários poderão ser em português

Objectives

This course aims to broaden horizons in the developments, applications, and impacts of AI to prepare students with a critical and creative spirit for professional and academic life. Discussions and debates will be promoted around topics brought up by teachers and external guests. The guests selected each year come from different sectors, bringing enriching perspectives for everyone. Students will participate by moderating, asking questions, debating, and bringing their topics to the agenda.

Learning outcomes and competences

Students will be better equipped to choose and articulate their professional activity in Artificial Intelligence, with greater creativity and active critical thinking.

Working method

Presencial

Program

There is no specific predefined program, depending on the particular focus on one or another theme from the experience of the range of guests for the year.

Mandatory literature

Russell, Stuart, and Peter Norvig; Artificial Intelligence : A Modern Approach, Upper Saddle River, NJ: Prentice Hall International, 1995
Winston, Patrick Henry; Artificial Intelligence. 2nd ed, MA: Addison-Wesley Publishing, 1984
Rich, Elaine, and Kevin Knight; Artificial Intelligence. 2nd ed. , New York: McGraw Hill, 1991

Teaching methods and learning activities

Classes will include lectures, discussion, and debate components. Students will be assessed on the level and quality of their participation and through the preparation of an original document, subject to a brief presentation.

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	30,00
Trabalho escrito	70,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Frequência das aulas	13,00
Trabalho escrito	27,50
Total:	40,50

Eligibility for exams

• Participation in at least 80% of seminars.


• Submission of requested papers within the permitted deadlines.

Calculation formula of final grade

70% - Written work
30% - Active participation in seminars (PS)
The final grade (CF) will be calculated according to:

CF = 0.7*Work + 0.3*PS