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Electronic Business Technologies

Code: PRODEI023     Acronym: TNE

Classification Keyword
OFICIAL Intelligent Systems

Instance: 2018/2019 - 2S Ícone do Moodle

Active? Yes
Responsible unit: Department of Informatics Engineering
Course/CS Responsible: Doctoral Program in Informatics Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
PRODEI 14 Syllabus 1 - 6 28 162

Teaching Staff - Responsibilities

Teacher Responsibility
Ana Paula Cunha da Rocha

Teaching - Hours

Recitations: 2,00
Type Teacher Classes Hour
Recitations Totals 1 2,00
Ana Paula Cunha da Rocha 2,00

Teaching language



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%

Learning outcomes and competences

At the end of this course, students should:

  • understand and model a simple Electronic Business process;
  • use intelligent technologies that support simple Electronic Business processes, related to negotiation, e-contracting, computational trust and recommender systems.

Working method


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

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 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

2.6. Recommender systems

Mandatory literature

000076550. ISBN: 978-0-470-03030-1

Complementary Bibliography

000076516. ISBN: 978-0-470-05747-6
000141902. ISBN: 0-262-11264-7

Teaching methods and learning activities

Project and research-oriented learning. Implementation assignments. Theoretical presentation of course unit themes. Presentation of case studies.


JADE (Java Agent Development Environment)

Evaluation Type

Distributed evaluation without final exam

Assessment Components

Designation Weight (%)
Trabalho escrito 30,00
Trabalho laboratorial 70,00
Total: 100,00

Amount of time allocated to each course unit

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

Eligibility for exams


Calculation formula of final grade

Distributed Evaluation comprises:

  • individual presentation of a case-study: 20%
  • individual or group project implementation: 50%
  • scientific article documenting the project: 30%

To successfully complete the course, students have to reach a minimum grade of 35% in each of the components listed above.

Special assessment (TE, DA, ...)

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.

Classification improvement

Students may improve their grades in the next course edition.

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