ISLA IPGT 7667

Maths for Computing

• ApresentaçãoPresentation

  Mathematics for Computing provides knowledge in the area of Mathematical Analysis, which is an essential tool in solving various types of problems. Mathematics is a means of communication, a formal and precise language. It is one of the essential and necessary theoretical bases of all the great systems of interpretation of reality that guarantee social intervention with responsibility and give meaning to the human condition. Mathematical knowledge is part of the cultural heritage of humanity because it has its own characteristics and procedures that have also evolved in the context of other sciences.
• ProgramaProgramme

  Polynomial functions Concepts and Definitions Ruffini rule Polynomial Factorization Inequations Rational and Irrational Functions Rational Functions Fractional Equations and Inequations Irrational Functions Irrational Equations and Inequations Algebra of Functions Function Algebra Inverse Function Limits and Continuity Limit Calculation Indeterminations Derivatives and Derivation Concepts Derivation Rules Derived from Implicit Functions Derivatives Application: Monotony, Concavity, Relative Extremes and Inflection Points Functions with more than one variable Partial Derivatives of 1st and 2nd order Optimization of Functions with more than one variable Conditional Optimization and Lagrange Multipliers
• ObjectivosObjectives

  The program for this course was designed with the aim of consolidating and expanding students' mathematical knowledge. Understanding the concepts and techniques of differential calculus and preparing students with the basic fundamentals of mathematics indispensable for solving problems and mathematical models is the main objective. Introduction to the statistical tools necessary to analyze and interpret a set of data and provide students with a set of statistical techniques and methods that facilitate the analysis and interpretation of information.
• BibliografiaBibliography

  Gomes, C. (2022). Material de Apoio à Unidade Curricular de Métodos Quantitativos. ISLA-Instituto Politécnico de Gestão e Tecnologia. Ayres, F. & Mendelson, E. 2000. Cálculo. McGraw-Hill Schaums Easy Outlines. Sarrico, C. (1999). Análise Matemática-leituras e exercícios (3ª ed.). Lisboa: Editora Gradiva. Budnick, F. S. (1993). Applied Mathematics for Business, Economics, and the Social Sciences (4ª ed.). McGraw-Hill.  
• MetodologiaMethodology

  Use of moodle where the student has access to digital sebentas that allows him to absorb the content through the virtual medium and when arriving at the classroom is already aware of the subject to be developed. The "inverted classroom" makes it possible to know the concepts before approaching them allowing to monetize the time of learning. Use of applications (PhotoMath, Maple Calculator, Microsoft Math Solver ...) that, in real time, allow the student not only to acquire knowledge but also to support their study. Use of the interactive whiteboard to make presentations more dynamic. Use of platforms (such as Zoom) to allow students.
• LínguaLanguage

  Português
• TipoType

  Semestral
• ECTS

  6
• NaturezaNature

  Mandatory
• EstágioInternship

  Não
• AvaliaçãoEvaluation

  

  Observações :

  • Os alunos terão de optar entre a realização dos Testes intermédios ou a realização do Teste de Avaliação Global. Se o aluno tiver nota inferior a 7,5 valores no 1º Teste ou desistir, não pode comparecer ao 2º Teste. A aprovação na avaliação curricular implica nota final não inferior a 9,5 valores. Os alunos não podem ter nota inferior a 7,5 valores em cada um dos testes.
  • Todos os alunos inscritos à unidade curricular podem realizar o exame final na época normal desde que não tenham realizado ou obtido aprovação na avaliação curricular.