Information Systems and Data Minnig

Scholar Year: 2023/2024 - 2S

Courses

Head Teacher Responsability Ana de Jesus Pereira Barreira Mendes Head

Weekly workload Hours/week T TP P PL L TC E OT OT/PL TPL O S Type of classes 2 Lectures Type Teacher Classes Hours Practices Totals 1 2,00 Ana Mendes   2,00

Teaching language

Portuguese

Intended learning outcomes (Knowledges, skills and competencies to be developed by the students)

Learning objectives are:
 understand the importance of information systems and its suitability to the organizations business strategy ;
 To understand the importance of the new Information and Communication Technologies in the organizational context, considering the competitive advantages;
 Master key concepts related to Business Intelligence, like Data Warehouse, ETL and Reporting Tools, technology infrastructure support;
 Understanding the importance of Business Analytics as iterative exploration practice of data, enabling the decision making.
 Research and Discovering knowledge in data bases through data mining techniques application;
 Master and apply the main concepts, methods and data mining techniques.

Syllabus

- Contextualization
Data, Information and Knowledge
Big Data

- Systems, Information and Information Systems
Systems Theory
Information systems
Information and Communication Technologies

- Business Intelligence
Concepts
Business Intelligence vs Business Analytics
Tools

- Data Mining
Concepts and Goals of data mining
Application fields
Methodologies
Models and Techniques
Tools
Data Mining projects

- Current and future trends

Software

SPSS

Microsoft Power BI

Demonstration of the syllabus coherence with the UC intended learning outcomes

This unit intends to introduce the main concepts, theories and methods related to knowledge discovery in databases that can be used in the organization key intervention areas, especially in the Marketing area.
The use of information systems, information and communication technology (ICT)and in particular the Data Mining, as essential components in the treatment process of large amounts of information and knowledge extraction to support the decision making.

Teaching methodologies

The teaching methodologies:
- Expositive and participatory in order to promote:
learning by discovery, through individual and group exploration of the importance of information systems, the ICT, and data mining to Organizations ;
a learning by research, promoting the research through a work achievement in a specific learning areas.
In order to promote the group skills development will be achieved through a GroupWork and consequent discussion about the data mining use as a process that enables better decision-making.

Demonstration of the teaching methodologies coherence with the curricular unit's intended learning outcomes

The expository and participatory approach is used to introduce the main theoretical concepts related to Information Systems, ICT, and the data mining process.
These methods are also used in the reflection and discussion about examples and case studies presented in order to encourage interaction seeking to real situations. With the group work looking up the development of relational and analytical skills, research and information communication, creativity, applicability, and the ability to understand the Information systems and the ICT importance in the information and knowledge society, and the data mining in the process of discovering hidden patterns from data stored in electronic form that enables a better decision making.
Through the written test intends to assess the individual capacity for reflection and exposure of taught material and the level of knowledge acquired.

Assessment methodologies and evidences

The assessment comprises:
• Preparation, presentation and discussion of a Group Work(GW)
• Test (T)
Final Grade = 0.60 T + O, 40 GW
The minimum score for each component is ten.