Electronic Business Technologies

Code:

PRODEI023

Acronym:

TNE

Keywords
Classification	Keyword
OFICIAL	Intelligent Systems

Instance: 2022/2023 - 2S

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	3	Syllabus	1	-	6	28	162

Teaching language

English

Objectives

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 and recommender systems.

Working method

Presencial

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.

Program

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

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.

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

NA

Calculation formula of final grade

Distributed Evaluation comprises:

• intermediate topic presentation and discussion: 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.