Intelligent Systems, Interaction and Multimedia Seminar

Code:

EIC0101

Acronym:

SSIM

Keywords
Classification	Keyword
OFICIAL	Interaction and Multimedia
OFICIAL	Artificial Intelligence

Instance: 2020/2021 - 1S

Active?	Yes
Web Page:	https://moodle.up.pt/course/view.php?id=1426
Responsible unit:	Department of Informatics Engineering
Course/CS Responsible:	Master in Informatics and Computing Engineering

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
MIEIC	25	Syllabus since 2009/2010	5	-	6	42	162

Teaching language

Portuguese
Obs.: Suitable for English-speaking students

Objectives

This course main goals are:

- to make students acquainted with Intelligent Systems, Interaction, and Multimedia research work.

- to make acquaintance with different researchers in Intelligent Systems, Interaction, and Multimedia and, through them, with different research groups active on the presented research topics.

Learning outcomes and competences

 Students should show their knowledge on at least one of the presented themes, through writing an article on the State of the Art or a small project assignment. The assignments (article and/or demonstration) should illustrate systems which are characterized by some “Intelligent” component related, for example, to its adaptation, autonomy, classification or inference capabilities or with an Interaction/Multimedia component. Main learning outcomes of this course are related to making students understand what can endow a computer system with a certain level of “intelligence” or "interaction" capabilities.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic knowledge of Artificial Intelligence and Interaction/Multimedia.

Program

Themes to be presented:

- Presentation: Motivation, Aims, and Program

- Introduction: Intelligent Systems and Interaction

- New Project and Future Trends in Intelligent Systems, Games and Interaction

- AI for Social Good

- Deep Learning and Multi-Agent Systems

- Visualizing Networks

- Intelligent Modelling and Simulation: Application to traffic and pedestrian evacuation

- Information Visualization

- Argumentation Mining

- Games and Serious Games

- Optimization in MAS: Plans disruption management and operations of air transport

- Pervasiveness in Games

- Supervised research and students' Work Presentations

Mandatory literature

os palestrantes; A bibliografia é sugerida pelos palestrantes

Comments from the literature

Handouts for the classes are provided by the speakers. Recent scientific papers suggested by keynote speakers.

Teaching methods and learning activities

Students have to attend 8 classes including seminars and student presentations. Students have to choose a theme and select one of the assigned works about it. An oral presentation has to be made in class and a report has to be written.

keywords

Technological sciences > Engineering > Knowledge engineering
Technological sciences > Technology > Interface technology > Intelligent interfaces
Physical sciences > Computer science > Cybernetics > Artificial intelligence

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation	Weight (%)
Participação presencial	10,00
Trabalho escrito	40,00
Apresentação/discussão de um trabalho científico	30,00
Teste	20,00
Total:	100,00

Amount of time allocated to each course unit

Designation	Time (hours)
Elaboração de projeto	42,00
Elaboração de relatório/dissertação/tese	45,00
Frequência das aulas	30,00
Trabalho de investigação	45,00
Total:	162,00

Eligibility for exams

Positive evaluation regarding results of work assignment and presentation. Students are subjected to a minimum limit of attendance to theoretical-practical classes.

Calculation formula of final grade

10% - Effective participation in the classes

20% - Quizzes conducted at the end of each seminar (average of the 5 best grades)

40% - Practical Assignment and report/article

30% - Oral presentation (demo or exposition), which includes:

- 10% - intermediate presentation and meetings
- 20% - final presentation of results and/or demos of implemented applications.

Examinations or Special Assignments

Not applicable

Special assessment (TE, DA, ...)

The same as for other students

Classification improvement

Enrollment in the curricular unit in the next academic year