Current Topics on Intelligent Systems

Recommended Prerequisites

Those required to enter the Program Cycle.

The enrollment in the course is subject to approval by the Coordination of the Doctoral Program.

Teaching Methods

Three complementary activities will be carried out:

 

1 - Thematic seminars (2h/week): to introduce to current topics in the thematic area.

 

2 - Cross seminars (1h/week): for all students of the doctoral plan; to provide a broad overview of the research field.

 

3 – Elaboration, presentation and discussion of a survey paper.

 

Components 1 and 2 are presented by teachers and researchers of CISUC or visitors; minimum attendance to these seminars: 75%.

 

Evaluation:

- Survey paper: 80%

- Individual report on cross seminars and participation in their discussions: 20%

Learning Outcomes

-          To obtain an overview of the thematic area, including fundamental concepts, main methodologies and main research challenges.

-          To acquire a broad view of the research domain of the doctoral program

-          To improve competences of critical analysis of scientific works, synthesis, scientific writing, verbal and writen communication, critical reasoning, autonomous learning, research and group integration.

Work Placement(s)

No

Syllabus

Current topics in the following themes will be explored:

 

- Current topics in adaptive computation

- Data analysis and processing: challenges and opportunities

- Recent advances in modelling, classification and prediction

- Models of Evolutionary Algorithms

- Non-Evolutionary Population-Based Algorithms

- Swarm Intelligence

- Dynamical Systems

- Agent-Based Modelling

- Network Science

- Artificial Intelligence

- Behavioral Modeling

- Computational Creativity

- Computational Design

- Digital Media

 

Other topics may also be the subject of analysis and discussion within the Human-Centric Computing area, depending on their interest to achieve the objectives of the course.

 

The course will also cover advanced topics of the field of Systems and Information Technology, covering current research relevant to allow the acquisition of a broad view of the research domain of the doctoral program.

Head Lecturer(s)

Jorge Manuel Oliveira Henriques

Assessment Methods

Assessment
Report on cross seminars and participation in their discussions: 20.0%
Synthesis work: 80.0%

Bibliography

Para cada tópico abordado na disciplina será fornecida aos alunos uma lista de artigos de investigação.

 

For each topic to be addressed in the course, a list of research papers will be provided to the students.