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ISLA Santarém 4944

Quantitative Methods

Human Resources Management
  • ApresentaçãoPresentation
    The course develops students' reasoning skills and provides the fundamentals of quantitative methods applied in economics and management, equipping them with the knowledge to select appropriate methods for problem solving and correctly use mathematical language, in order to master concepts of infinitesimal analysis, identify functions, equations, and inequalities, and apply calculation techniques in practical contexts.
  • ProgramaProgramme
    1. Evolution of the concept of number  1.1 The line and the subsets of R 1.2 Potentials 1.3 Properties of calculating potentials 2. Equations and Inequalities 2.1. Domain, roots or solutions 2.2 Principles of equivalence 2.3 Inequalities - entire and fractional 3. Differential calculus in R 3.1 Real functions of real variables 3.2 Exponential functions  4. Limits and Continuity 5. Derivative 6. Descriptive statistics 6.1 Statistical Concepts 6.2 percentages, estimates and rounding 6.3 Tables frequency 6.4 Graphics 6.5 average, median and mode  6.6 Quartiles, Magnitude and extremes diagrams  6.7 Amplitude standard deviation and variance 6.8 Correlation.
  • ObjectivosObjectives
    O1. Develop students' reasoning skills; O2. Provide the basic fundamentals of quantitative methods, usually applied in the areas of economics and management; O3. Equip students with knowledge regarding the selection of methods and processes that are best suited to solving a specific problem; O4. Correctly use mathematical language in the development of calculation techniques that enable students to create or deepen knowledge essential to continuing their studies in subsequent years.  At the end of the course, students should be able to: C1. Master the fundamental concepts related to infinitesimal analysis.  C2. Identify the different types of equations, inequalities, and real functions of real variables.  C3. Predict and characterize the functions to be used in practical applications.  C4. Apply calculation techniques in different situations.
  • BibliografiaBibliography
    Aires, L. M. (2010). Conceitos de Matemática – Fundamentos param as ciências da vida. Edições Sílabo. Murteira, B. (2010). Introdução à Estatística. Escolar Editora. Pestana, M. H., & Gageiro, J. N. (2017). Análise de Dados para Ciências Sociais – A Complementaridade do SPSS (6.ª ed.). Lisboa: Edições Sílabo Pinto, R. R. (2009). Introdução à Análise de Dados com Recurso ao SPSS. Edições Sílabo. Reis, E. (2008). Estatística Descritiva (7.ª Edição revista e corrigida). Edições Sílabo.  
  • MetodologiaMethodology
    Face-to-face: 1. Expository method: the defined program content is explored. In addition, the demonstrative method is used to present concrete examples of how the content can be applied. 2. Laboratory practice: based on the Problem-Based Learning (PBL) methodology, aiming to find solutions to problems identified by students or proposed by the teacher. Independent: 3. Guided research proposed by the teacher, aiming to consolidate the topics under study and providing input for the practical work developed by students.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    6
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não
  • AvaliaçãoEvaluation

    Avaliação curricular composta por dois testes escritos, com ponderação de 50% em cada um. 
    A classificação final corresponde à média aritmética dos dois testes de avaliação e para aprovação à Unidade Curricular, a mesma terá de ser igual ou superior a 9,5 valores.
    A avaliação final será concretizada através de exame (100%).