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Information and Big Data

Scholar Year: 2018/2019 - 2S

Code: LGSI10902    Acronym: IBD
Section/Department: Department of Information Systems

Courses

Acronym Nº of students Study Plan Curricular year ECTS Contact hours Total Time
LGSI 22 Study Plan 4,5

Teaching weeks: 15

Head

TeacherResponsability
Ana de Jesus Pereira Barreira MendesHead

Weekly workload

Hours/week T TP P PL L TC E OT OT/PL TPL O S
Type of classes 0 0

Lectures

Type Teacher Classes Hours
Theoretical Totals 1 0,00
Ana Mendes   2,00
Laboratories Totals 1 0,00
Ana Mendes   3,00

Teaching language

Portuguese

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

- Understand the importance of information in the current context of the information and knowledge society;
-Recognize the importance of managing data, information and knowledge, as well as the importance of the analytical area, for better efficiency and effectiveness in the Organization management and in the decision-making process;
-Apply the business Intelligence in order to provide the necessary information to the business;
-Understand the main concepts of what Big Data is and its relevance to business;
-Understand the importance of Big Data Analytics in the main functional areas of Organization;
-Understand and analyze the systems and tools that are used for storage, processing and analysis.

Syllabus

1. Data and information and the new challenges of management;
2. Information to Knowledge;
3. Motivations and Drivers for Big Data;
4. The Big Data and Data Analytics;
5. Big Data Platforms;
6. Storage, Processing and Analysis;
7. Current and future trends.

Software

R

Power BI

SW SAS

SPSS


Bibliography

Batley, S. (2007). Information Architecture for Information Professionals. Oxford: Chandos Publishing.
Chaki, S. (2015). Enterprise Information Management in Practice: Managing Data and Leveraging Profits in Today’s Complex Business Environment. New York: Apress Media/Springer.
Erl, T.; Khattak, W. & Buhler, P. (2016). Big Data Fundamentals: Concepts, Drivers & Techniques. Crawfordsville, Indiana: Prentice Hall.
Franks, P. C. (2013). Records and Information Management. Chicago: ALA Neal-Schuman
Kale, V. (2016). Big Data Computing: A Guide for Business and Technology Managers. Boca, Raton: Taylor&Francis/CRC Press.
Lambed, P. (2007). Organizing Knowledge: Taxonomies, Knowledge and Organizational Effectiveness. Oxford: Chandos Publishing.
McKnight, W. (2013). Information Management: Strategies for Gaining a Competitive Advantage with Data, Waltham, MA: Morgan Kaufmann.
Talburt, J. R. & Zhou, Y. (2015). Entity Information Life Cycle for Big Data: Master Data Management and Information Integration. Waltham, MA: Morgan Kaufmann.
Williams, S. (2016). Business Intelligence Strategy and Big Data Analytics: A General Management Perspective, Cambridge, MA: Morgan Kaufmann.

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Página gerada em: 2026-04-09 às 10:51:11