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ISLA Santarém 194

Statistics

Business Processes and Operations Management
  • ApresentaçãoPresentation
    The course provides knowledge for analyzing data with descriptive statistics and for understanding probability theory and statistical language, enabling students to read, interpret, and formulate problems using statistical and probabilistic language, and to use SPSS to apply descriptive statistical methods and interpret the respective results.
  • ProgramaProgramme
    1. Descriptive statistics 1.1. Basic concepts: population, statistical unit, attribute, and sample 1.2. Measurement scales of statistical data 1.3. Absolute and relative frequencies 1.4. Cumulative frequencies 1.5. Measures of location 1.6. Measures of dispersion: variance and standard deviation 1.7. Measures of skewness and kurtosis 2. Probability theory 2.1. Basic concepts 2.2. Axioms of probability 2.3. Conditional probabilities 2.4. Independent events 2.5. Multiplicative and additive rules 3. Random Variables 3.1. Discrete random variables: probability function, distribution function 3.2. Absolutely continuous random variables: probability density function, distribution function 3.3. Random Variable Parameters: expected value, variance and standard deviation 3.5. Independent random variables 4. Probability Distributions 4.1. Discrete distributions 4.2. Continuous distributions
  • ObjectivosObjectives
    O1. Provide students with the knowledge that will enable them to analyze data using descriptive statistical methodologies. O2. Present the fundamental concepts of probability theory. O3. Provide students with knowledge about the language of probability and statistics. Competencies: C1. Read and correctly interpret documents that use basic statistical language. C2. Formulate practical problems and express practical situations using the language of probability theory and statistics. C3. Read and correctly interpret documents that use probabilistic and statistical language. C4. Formulate practical problems and express practical situations using the language of probability theory and statistics. C5. Use SPSS software and interpret the outputs resulting from the application of descriptive statistical methods.
  • BibliografiaBibliography
    Marôco, João (2021). Análise Estatística com SPSS, ReportNumber. Schiefer, H., & Schiefer, F. (2021). Statistics for Engineers: An Introduction with Examples from Practice. Springer Nature. Devore, J. L., Berk, K. N., & Carlton, M. A. (2021). Modern mathematical statistics with applications. 3rd edition. New York: Springer. Rhinehart, R. R., & Bethea, R. M. (2022). Applied Engineering Statistics. CRC Press. Gupta, B. C., Guttman, I., & Jayalath, K. P. (2020). Statistics and probability with applications for engineers and scientists. Wiley.
  • MetodologiaMethodology
    The classes will address the concepts of the different topics and then show their practical application, with a series of exercises inside and outside the classroom encouraging active and independent participation by students.  To this end, the expository method will be used to introduce the concepts and structure reasoning, and the interrogative method will be used to assess learning in the theoretical part of each chapter. With regard to the practical aspect, the demonstrative method will be used to provide practical examples of the content, as well as active, participatory, and autonomous methods to connect with each student's experience.  In summary: (1) Expository and Interrogative Methodology – participatory teaching, using motivation strategies whenever necessary, and (2) Active Pedagogical Methodologies such as Flipped Classroom, Gamification, and Problem/Project-Based Learning.
  • LínguaLanguage
    Português
  • TipoType
    Semestral
  • ECTS
    6
  • NaturezaNature
    Mandatory
  • EstágioInternship
    Não
  • AvaliaçãoEvaluation

    Avaliação Curricular (*): O estudante realiza 2 fichas de exercícios em grupo e dois testes individuais. O estudante aprova se a classificação final for superior ou igual a 9.5 valores. A classificação final é calculada pela fórmula Classificação Final = 0.2*F1+0.3*T1+0.2*F2+0.3*T2, onde F1, F2, T1 e T2 denotam, respetivamente, as notas nas fichas de exercícios e nos testes individuais. 
    Avaliação Final: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores.
    Época de Recurso e Época Especial: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores.