ISLA Santarém 13037

Information Systems for Management

• ApresentaçãoPresentation

  This subject aims to provide students with knowledge related to Information Systems (IS), their characteristics, their framework and their impact on organizations.
• ProgramaProgramme

  1. Information systems concepts. 2. Information systems management. 3. Information systems management architecture. 4. Information systems design and modeling. 5. Support systems and technologies applied to organizational management (ERP, GIS, CRM, SCM). 6. Cybersecurity in the context of organizations. 7. Artificial intelligence applied to management processes. 8. Advanced topics in IS: Big Data/BI; Cloud Computing and the Internet of Things. 9. Digital transformation of organizations.
• ObjectivosObjectives

  Objectives: O1. Introduce the concept of a system and its usefulness in the study of complex situations. O2. Distinguish and compare different information systems. O3. Present the techniques and methods for developing and maintaining information systems. O4. Characterise the support systems and technologies applied to the management of organisations. O5. Discuss the impact of the evolution of computer environments and systems on organisations. O6 Present the fundamental concepts of cybersecurity in the context of organisations. O7 Discuss the impact of AI applied to management processes. O8. Prepare students for the strategic use of information systems in organisations. Competences: C1. Plan and manage information systems projects suited to the organisation's objectives. C2. Participate in the selection of information systems best suited to the organisation's objectives. C3. Participate in and develop applied research activities.
• BibliografiaBibliography

  Laudon, K. C., & Laudon, J. P. (2024). Management Information Systems: Managing the Digital Firm (17th Global Ed.). Pearson. Marr, B. (2025). Data Strategy: How to Profit from a World of Big Data, Analytics and Artificial Intelligence, Kogan Page Ribeiro, R & Veiga, P. (2022). Transformação Digital - Os Desafios, o Pensar e o Fazer. Actual Editora.Jason L. Anderson, Jeffrey L. Anderson, J. L., & Coveyduc, J. L. (2023). Artificial Intelligence for Business: A Roadmap for Getting Started with AI. Willey
• MetodologiaMethodology

  In-person: 1. Theoretical/practical classes: presentation of concepts and discussion of program content. 2. Practical demonstration (theory with real application and practical application work) of the work developed by students, ensuring high levels of motivation, commitment, and learning.  3. Students will be asked to carry out activities where they develop skills for conducting research applied to real or simulated contexts and where the use of scientific writing methods and techniques is prioritized. Independent: 4: Consolidation of the content taught in class through additional research on the different topics covered and the development of supplementary work.  
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  Avaliação curricular (contínua):
  A avaliação curricular será concretizada com recursos aos seguintes instrumentos: 
  - Participação nas aulas (10%) –
   Realização e apresentação de trabalhos (30%) 
  - Realização de um trabalho individual (60%). 
  Avaliação final
  Os estudantes que não se submeteram à avaliação curricular ou não obtiveram aprovação na mesma submetem-se à avaliação final concretizada através de um trabalho/relatório escrito (100%)