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ISMAT 81

Operational Research

Data Science
  • ApresentaçãoPresentation
    The curricular unit Operational Research belongs to the scientific area of Mathematics and focuses on quantitative methods for decision support. It addresses the formulation and solution of optimization problems using mathematical models applied to management, logistics, planning and resource allocation. The acquired knowledge is relevant to Data Science, enabling the selection of efficient solutions in real decision-making contexts.
  • ProgramaProgramme
    S1: Introduction to Operational Research;  S2: Formulation of Linear Programming Problems;  S3: Graphical Resolution of Linear Programming Problems;  S4: Simplex Algorithm for Linear Programming Problem Solving; S5: Problem solving with artificial variables; S6: Duality in Linear Programming;  S7: Sensitivity analysis and post-optimization;  S8: Transport problems and affectation problems;  S9: Network optimization;  S10: Use of software for the application of Operational Research techniques.  
  • ObjectivosObjectives
    At the end of this curricular unit, students should be able to: LO1: Execute the mathematical formulation of problems in the Management area;  LO2: Identify appropriate Operational Research techniques for problem solving;  LO3: Apply Operational Research techniques in practical cases, with and without software;  LO4: Critically analyze the results obtained through Operational Research techniques, taking into account the context of the problems.  
  • BibliografiaBibliography
    Hill, M. & Santos, M. (2015). Investigação Operacional - Vol. 1: Programação Linear. (3ª ed.). Lisboa: Edições Sílabo. Hill, M. & Santos, M. (2015). Investigação Operacional - Vol. 2: Exercícios de Programação Linear. (3ª ed.). Lisboa: Edições Sílabo. Hill, M., Santos, M. & Monteiro, A. (2015). Investigação Operacional - Vol. 3: Transportes, Afectação e Optimização de Redes. (2ª ed.). Lisboa: Edições Sílabo.
  • MetodologiaMethodology
    The teaching methodology includes the expository method (TM1) to present the contents, the demonstrative method (TM2) to illustrate its application to practical cases and the active method (TM3) to solve classroom exercises, with and without the use of a computer, in a problem-based learning approach.  
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    5
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não