• Não
  • The course of Discrete Mathematics aims to contribute to the acquisition of a set of skills in students: the ability to assimilate information and to communicate it; the ability of written expression; the ability of oral expression and the ability of mathematical argument. To this end, concepts of mathematical logic, set theory and number theory will be studied.
  • Semestral
  • A avaliação da unidade curricular pode ser realizada em avaliação continua sendo esta composta por duas frequências com o peso de 40% cada, por um trabalho com o peso de 15% e de 5% avaliado ao longo das aulas compreendendo o comportamento, a participação e a assiduidade, ou em exame final com um peso de 100%.

    Descrição Datas Ponderação
    1ª Frequência 20-04-2026 40%
    2ª Frequência 08-06-2026 40%
    Trabalho Prático 21-06-2026 15%
    Aula ao longo do semestre 5%

     

  • S1. Logical Preliminares S2. Set theory S3. Functions S4. Notions of the sets' cardinality  S5. Number theory
  • The main objectives of this unit are: LO1. Apply the elementary properties of the logical and quantification operations; LO2. Developing mathematical arguments using the usual methods of proof; LO3. Explain the basic concepts of sets and functions and perform elementary operation between these mathematical objects; LO4. Distinguish between countable and non-countable sets; LO5. Understand the number theory; LO6. Contribute for the acquisitoon of a set of skills: ability to assimilate and communicate information, ability to express themselves in writing; ability to express themselves orally.  
  • Mandatory
  • 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. The assessment is made by continuous assessment or written exam.
  • Português
  • Slides e apontamentos das aulas  
  • 4
  • 0
  • 4
  • 1
  • IPLUSO6382-1656
  • Discrete Mathematics
  • 1656
  • 6382
  • Computer Applications for Data Science