|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||26||Syllabus since 2009/2010||4||-||6||56||162|
Conducting business electronically is an increasingly ubiquitous approach. This course addresses this concept from a scientific-technological point of view.
Specific aims are: To understand the importance and opportunities of Electronic Business; To explain Electronic Business Models; To present Support Technologies for Electronic Business
Scientific component:50% Technological component:50%
At the end of this course, students should:
Knowlege of Distributed Artificial Intelligence technologies is useful, as is understanding the notion of Computational Agent.
1. Electronic Business
1.1. Definition of electronic business process.
1.2. Electronic Business Models (B2B, B2C)
1.3. Platforms for electronic business
2. Electronic Institutions and Virtual Enterprises:
2.2. Selection of business partners: automatic negotiation and Learning
2.3 Ontologies: specification, creation, integration and exploration; automatic ontology-mapping techniques
2.4. Automatic e-contracting: specification and monitoring of e-contracts with normative environments
2.5. Computational trust and reputation for Electronic Business
3. Inter-organizational workflow
Project and research-oriented learning. Implementation assignments. Theoretical presentation of course unit themes. Presentation of case studies.
|Frequência das aulas||42,00|
|Trabalho de investigação||40,00|
Student may not exceed the allowed limit of absences.
Distributed Evaluation comprises:
To successfully complete the course, students have to reach a minimum grade of 35% in each of the components listed above.
Students with special status have to fulfill all the assessment components.
The assessment at a special season will be based on:
To successfully complete the course unit, students have to reach a minimum grade of 35% in each of the components listed above.
Students may improve their grades in the next course edition.