Information Systems

Code:

2MEAE06

Acronym:

SI

Keywords
Classification	Keyword
OFICIAL	Management Studies

Instance: 2024/2025 - 1S

Active?	Yes
Web Page:	http://moodle.up.pt/course/view.php?id=1647
Responsible unit:	Management
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	51	Official Syllabus after 2021-2022	1	-	3	21	81

Teaching language

Portuguese

Objectives

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

Working method

Presencial

Program

1. 1. Information Systems 




1. 1.1. Introduction; Types of IS and applications;


2. 1.2. Datawarehouse and Business Intelligence


3. 1.3. ETL


4. 1.4. Modelos dimensionais: Star Schemas Versus OLAP Cubes




2. 2. Analytics




1. 2.1. Introduction to Power BI


2. 2.2 Dashboards and Exploratory Data Analysis 




3. 2.3. Big Data Analytics:




1. Clusters analysis;


2. Decision trees with Python.

 

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
Galit Shmueli; Data Mining for Business Analytics: Concepts, Techniques, and Applications in R , 2018
Foster Provost and Tom Fawcett; Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

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.

Software

Power BI
Python

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	27,00
Trabalho escrito	10,00
Trabalho laboratorial	20,00
Apresentação/discussão de um trabalho científico	3,00
Frequência das aulas	21,00
Total:	81,00

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. NE>=7 (minimum grade)