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Class Introduction to Stochastic Processes

  • Presentation

    Presentation

    Students will learn what is a stochastic process and how to deal with some specific processes
  • Code

    Code

    ULHT6634-23086
  • Syllabus

    Syllabus

    CP1: Stochastic Processes and their characterization CP2: Markov Chains CP3: Poisson processes
  • Objectives

    Objectives

    developed by the students): LO1: Understand and characterize simple stochastic systems in general; LO2: Solve basic problems associated with  Markov chains and the Poisson process. 
  • Teaching methodologies

    Teaching methodologies

    The teaching methodology includes the expository method (TM1) to present the necessary contents, the demonstrative (TM2) to illustrate its application to practical examples and the active one (TM3) for solving exercises. The assessment of knowledge is made by continuous assessment or written test of the final exam. Continuous assessment includes two written tests with a weight of 35% each, practical exercises throughout the semester (20%) and involvement in class (10%).
  • References

    References

    Ross, S.M. (2014). Introduction to Probability Models. (11th ed.). Academic Press,New York Ross, S.M. (1996). Stochastic Processes. (2nd ed.). John Wiley & Sons.  
  • Assessment

    Assessment

    2 Testes (70%) + TPC (20%) + Participação em aula (10%) [Podem respecar testes em data de frequência final]

    OU

    Exame final

    Exemplo:

    Descrição

    Data limite

    Ponderação

    Teste de avaliação 1

    02-05-2024

    35%

    Teste avaliação 2

    06-06-2024

    35%

    TPC

      20%
    Frequência Final 24-06-2024 Respescar
    Exame Recurso 08-07-2024 100%

     

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