|Responsible unit:||Department of Informatics Engineering|
|Course/CS Responsible:||Master in Informatics and Computing Engineering|
|Acronym||No. of Students||Study Plan||Curricular Years||Credits UCN||Credits ECTS||Contact hours||Total Time|
|MIEIC||147||Syllabus since 2009/2010||4||-||6||56||162|
|Carlos Manuel Milheiro de Oliveira Pinto Soares|
|Henrique Daniel de Avelar Lopes Cardoso||1,00|
|Carlos Manuel Milheiro de Oliveira Pinto Soares||1,00|
|Ana Paula Cunha da Rocha||4,00|
|Carlos Manuel Milheiro de Oliveira Pinto Soares||4,00|
|Henrique Daniel de Avelar Lopes Cardoso||2,00|
This course has an engineering bias and proposes a global perspective on the techniques associated with agent-based computing, exploring, on one hand, agent-based complex systems modeling and simulation, and the development of intelligent agents and multi-agent system applications.
Agent Oriented Programming and Software Engineering are presented as a new metaphor to describe and program distributed computational systems.
The ackwired knowledge is consolidated through the use of appropriate software tools, with which students are incentivized to work on the development of small projects. The main goal is that students are able to specify and implement complex, adaptive, distributed and decentralized systems using the multi-agent systems paradigm.
At the end of the course, the student is expected to be able to:
Knowledge of Artificial Intelligence techniques and basic statistics concepts.
1. Agent-based computing
4. Multi-agent decision making
Oral presentation of the themes of the course in theoretical classes, with interaction with students. Tool experimentation and exploration in the practical classes.
Practical classes will be based on the supervision of assignments. Project-oriented learning.
|Frequência das aulas||52,00|
Enrolled students are admitted to exam if they do not exceed the allowed number of non-attendance to lab classes (maximum 25% of non-attendance).
Final Grade = 50% * Assignment + 50% * Exam
Assignment = 70% * part1 + 30% * part2
In order to obtain aproval in the course, the following minimum scores apply:
- Assignment: 7,0 values out of 20
- Exame: 7,0 values out of 20
Evaluation in special seasons consists of one practical Assignment and a written Exam, where each of these components weights 50% on the final grade. Aproval in the course demands for a minimum score of 7,0 values out of 20 in each of these components (practical Assignment and written Exam).
All assessment components are required to all students. Students enrolled using special frequency modes, without obligation to attend to the practical classes, must arrange with the teachers appropriate consultation and evaluation sessions.
The improvement of classification can only be obtained in the next edition of the course.