Code: | PRODEI023 | Acronym: | TNE |
Keywords | |
---|---|
Classification | Keyword |
OFICIAL | Intelligent Systems |
Active? | Yes |
Responsible unit: | Department of Informatics Engineering |
Course/CS Responsible: | Doctoral Program in Informatics Engineering |
Acronym | No. of Students | Study Plan | Curricular Years | Credits UCN | Credits ECTS | Contact hours | Total Time |
---|---|---|---|---|---|---|---|
PRODEI | 3 | Syllabus | 1 | - | 6 | 28 | 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; To explore the application of multi-agent systems to model electronic business scenarios.
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:
2.1. Concepts
2.2. Selection of business partners: automatic negotiation and Learning
2.3. Computational trust and reputation for Electronic Business
2.64. Recommender systems
Project and research-oriented learning. Implementation assignments. Theoretical presentation of course unit themes. Presentation of case studies.
Designation | Weight (%) |
---|---|
Trabalho escrito | 30,00 |
Trabalho laboratorial | 70,00 |
Total: | 100,00 |
Designation | Time (hours) |
---|---|
Elaboração de relatório/dissertação/tese | 20,00 |
Estudo autónomo | 28,00 |
Frequência das aulas | 28,00 |
Trabalho de investigação | 36,00 |
Trabalho laboratorial | 50,00 |
Total: | 162,00 |
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 follows the same weights and rules of the assessment of students with regular status.
Students may improve their grades in the next course edition.