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Information Systems

Code: 2MEAE06     Acronym: SI

Classification Keyword
OFICIAL Management Studies

Instance: 2021/2022 - 1S Ícone do Moodle

Active? Yes
Web Page: http://moodle.up.pt/course/view.php?id=1647
Course/CS Responsible: Master in Economics and Business Administration

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
EAE 47 Official Syllabus after 2021-2022 1 - 3 21 81

Teaching Staff - Responsibilities

Teacher Responsibility
Pedro José Ramos Moreira de Campos

Teaching - Hours

Theoretical and practical : 1,50
Type Teacher Classes Hour
Theoretical and practical Totals 2 3,00
José Abilio de Oliveira Matos 1,50
Pedro José Ramos Moreira de Campos 1,50

Teaching language



The goal of this course is to provide students with a fundamental knowledge on information systems, including  the components of technology, design and analysis of information, in order to make them capable of using them as a tool of promotion of the corporation strategy and objectives.

Learning outcomes and competences

It is intended that students acquire the skills to:

  1. Understand the fundamentals of Information Systems
  2. Use the main techniques of business intelligence using data from the business context;
  3. Follow the CRSP-DM methodologies and understand the principles of Data Mining
  4. Understand the business models in e-commerce

Working method



1. Information Systems 
1.1. Introduction; Types of IS and applications
1.2. Datawarehouse and Business Intelligence
1.3. ETL
1.4. Modelos dimensionais: Star Schemas Versus OLAP Cubes

2. Analytics
2.1. Introduction to Power BI
2.2 Dashboards and Exploratory Data Analysis 
2.3. Big Data Analytics: clusters anakycis and decision trees with R
3. E-Commerce

Mandatory literature

Ralph Kimball; The data warehouse toolkit. ISBN: 978-1-118-53080-1
Kenneth C. Laudon and Jane P. Laudon; Management Information Systems: Managing the Digital Firm, Prentice Hall, 2013
Luis Torgo; Data mining with R. ISBN: 978-1-4398-1018-7

Complementary Bibliography

Pawel Cichosz; Data Mining Algorithms: Explained Using R, Wiley
Vaisman and Zimányi; Data Warehouse Systems, Springer. ISBN: 978-3642546549
Lisa Sims; Building Your Online Store With WordPress and WooCommerce. ISBN: 978-1-4842-3845-5
Judah Phillips; Ecommerce Analytics. ISBN: 78-0-13-417728-1

Teaching methods and learning activities

The lectures will consist of the presentation of the materials by the lecturer, which will subsequently and immediately be implemented on the computer by the students.


Power BI

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 60,00
Trabalho escrito 40,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 10,00
Trabalho escrito 10,00
Trabalho laboratorial 10,00
Total: 30,00

Eligibility for exams

Only exam or exam and assignment

Calculation formula of final grade

NF = 0.6 * NE + 0.4 * NT,

where NF, NE e NT denote, respectively, the final grade, the final exam grade and the term paper grade.

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