ISLA Santarém 4944

Quantitative Methods

• 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 subsets of R 1.2 Powers.  1.3 Properties of power calculation 2. Equations and inequalities 2.1. Domain, roots, or solutions 2.2 Principles of equivalence 2.3 Integer and fractional inequalities 3. Differential calculus in R 3.1 Real functions of real variables 3.2 Exponential functions 4. Limits and continuity 5. Derivatives 6. Descriptive statistics 6.1 Statistical concepts 6.2 Percentages, estimates, and rounding 6.3 Frequency tables 6.4 Graphs 6.5 Mean, mode, and median 6.6 Quartiles and extreme value diagrams 6.7 Range, standard deviation, and variance 6.8 Correlation
• ObjectivosObjectives

  O1. Develop the reasoning capacity of students; O2. Providing the basics of quantitative methods, usually applied in the fields of economics and management; O3. Provide students with knowledge regarding the selection of methods and processes that are best suited to solve a particular problem; O4. Use correctly the language of mathematics in the development of calculation techniques that build or deepen knowledge essential to the continuance of studies in the following years. At the end of the curricular unit the student 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 a real variable. C3. Predict and characterize the functions to be used in practical application. C4. Apply the techniques of calculation 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 que ser igual ou superior a 9,5 valores.
  A avaliação final será concretizada através de exame (100%).