Data Analysis and Processing

Category: Discipline
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate Data Analysis (8th ed.). Harlow: Pearson. Marôco, J. (2018). Análise Estatística com o SPSS Statistics (7.ª ed.). Pêro Pinheiro: ReportNumber. Pereira, A. (2015). SPSS – Guia Prático de Utilização (edição atualizada). Lisboa: Edições Sílabo. Pestana, M. H., & Gageiro, J. N. (2017). Análise de Dados para Ciências Sociais – A Complementaridade do SPSS (6.ª ed.). Lisboa: Edições Sílabo
  • Business Processes and Operations Management
  • 1860
  • 13030
  • Data Analysis and Processing
  • ISLA Santarém1860-13030
  • 2
  • 6
  • 0
  • 25
  • Não
  • Português
  • 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.  
  • Mandatory
  • O1. Understand and apply fundamental statistical techniques that support decision-making in contexts of variability and uncertainty, using real data. O2. Develop skills in data collection, organization, analysis, and processing, using statistical software to produce and interpret numerical and graphical outputs.
  • 1 Introduction to SPSS software 1.1 Work environment 1.2 Designing a data file 1.3 Defining variable properties 2 Univariate Descriptive Statistics with SPSS 2.1 General information 2.1.1 Population, Sample, and Statistical Unit 2.2 Creating frequency tables, graphs, and calculating descriptive measures with SPSS 2.3 Measures of location and dispersion 2.4 Measures of asymmetry and skewness 3 Bivariate Descriptive Statistics with SPSS 3.1 Scatter plot 3.2 Measures of association 3.3 Simple linear regression 3.4 Cross-tabulation of variables 4 Statistical Inference with SPSS 4.1 Estimation theory 4.2 Point and interval estimation 4.3 Decision theory 4.4 Confidence intervals versus hypothesis testing 4.5 Parametric and nonparametric tests 

  • O método de avaliação consiste desenvolvimento de um trabalho de grupo aplicado a um caso real com recurso a SPSS (50%) e uma prova escrita no final do semestre (50%). 
    A avaliação final será concretizada através de exame (100%). 
     
  • Semestral
  • The course develops skills in data collection, organization, analysis, and processing, using statistical software to produce and interpret numerical and graphical results in order to support decision-making in contexts of variability and uncertainty based on real data.

Mathematics I

Category: Discipline
  • Cabral, I., Perdigão, C., Saiago, C. (2021). Álgebra Linear: Teoria, Exercícios Resolvidos e Exercícios Propostos com Soluções. 6.ª Edição, Escolar Editora. Cardoso, D. M., Szyma¿ski, J. e Rostami, J. (2009). Matemática Discreta. Escolar Editora. Ferreira, M., Amaral, I., (2020). Álgebra Linear: Matrizes e Determinantes. Vol. 1, 8.ª Edição, Edições Sílabo. Howard, A., Rorres, C. (2012). Álgebra Linear com Aplicações. 10.ª Edição, Bookman. Lipschutz, S. & Lipson, M. (2013) Matemática Discreta. Bookman. Rosen, K. (2018). Discrete Mathematics and Its Applications. 8th Edition, McGraw Hill.  
  • Engineering Work Safety
  • 1210
  • 1
  • Mathematics I
  • ISLA Santarém1210-1
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • The classes will address the concepts of the different themes and, later, show their practical application, with a series of exercises inside and outside the classroom, inducing the active and autonomous participation of students.   For this purpose, the use of the expository method is foreseen to introduce the concepts and structure the reasoning and the interrogative method for the learning evaluation, in the theoretical aspect of each chapter. With regard to the practical aspect, the use of the demonstrative method is foreseen for the practical illustration of the contents, as well as active, participatory and autonomous methods to make the connection with the experience of each one.   In summary: (1) Expository and Interrogative Methodology - participatory teaching, resorting whenever necessary to Motivation strategies and to (2) Active Pedagogical Methodologies such as Flipped Classroom, Gamification and Problem/Project Based Learning.
  • Mandatory
  • The objectives of the curricular unit are: O1. Develop students' reasoning skills; O2. Develop skills related to linear algebra; O3. Introduce set theory; O4. Present the basic principles of logic, logical operations and their properties; O5. Present the principles of binary relations; O6. Provide students with knowledge related to graph theory. At the end of the curricular unit students should be able to: C1. Master the techniques associated with matrix calculus; C2. Master the basic principles of logic, logical operations and their properties; C3. Understand the fundamental concepts of graph theory and its applications.
  • 1. Elements of linear algebra 1.1 Notion of vector and operations between vectors 1.2 Matrices and operations with and on matrices 1.3 Determinants 1.4 Brief reference to vector spaces 1.5 Linear combination, dependence and linear independence of vectors 2. Introduction to elements of logic mathematical 2.1 Terms and propositions 2.2 Expressions with meaning 2.3 Logical operations 3. Elements of set theory 3.1 Generalities 3.2 Operations with sets 3.3 Power set 4. Binary relations 4.1 Overview of binary relations 4.2 Operations with binary relations 4.3 Properties of binary relations 4.4 Equivalence relations 5. Graphs and applications 5.1 Graphs and simple graphs 5.2 Isomorphic graphs 5.3 Euler Paths 5.4 Oriented graphs

  • 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
  • Semestral
  • The course introduces essential concepts of algebra, logic, sets, relations, and graphs, developing structured mathematical reasoning and the ability to model and solve problems, preparing students for advanced courses and academic and professional challenges.

Traineeship

Category: Discipline
  • Marketing
  • 7153
  • 814
  • Traineeship
  • ISLA Santarém7153-814
  • 3
  • 12
  • 1331
  • 25
  • Sim
  • Português
  • Optional
  • Semestral

Safety and Hygiene in the Workplace

Category: Discipline
  • Freitas, L. C. (2016). Segurança e Saúde do Trabalho (3a Ed.). Lisboa, Portugal: Sílabo. Rivero, J. M. S., & Palomino, A. E. (2017). Herramientas para la Mejora Continua de los Sistemas de Gestión de la Seguridad y Salud en el Trabajo. FC Editorial. Robledo, F. H. (2017). Seguridad y salud en el trabajo: Conceptos Básicos (3a). Ecoe Ediciones.  
  • Administrative Management of Human Resources
  • 2185
  • 5599
  • Safety and Hygiene in the Workplace
  • ISLA Santarém2185-5599
  • 2
  • 5
  • 0
  • 25
  • Não
  • Português
  • The teaching methodologies are based on interrogative and active methods aimed at the discussion and resolution of theoretical and practical exercises in the classroom context, completed with the presentation of theoretical content. The teacher provides case studies and practical application exercises that require the resolution of problems commonly faced by qualified professionals in the field of study, as well as other materials through the content management platform (Moodle).
  • Mandatory
  • The objectives of the course are: - To understand the historical, political and social context of work within which the occupational health and safety function emerged. - To identify the key moments in the history of occupational health and safety within the European Union and in Portugal; - To identify preventive techniques. - To recognise the importance of occupational medicine. - To raise awareness among trainees of the importance of preventing and controlling occupational risks that may exist in the workplace, as well as of the environmental and organisational factors that affect the development of their work. - To characterise the current legal framework for occupational health and safety and the organisation of prevention and protection services in organisations.
  • 1. Introduction to Occupational Health, Safety and Hygiene - General concepts; Prevention of occupational risks; Practical applications 2. Occupational Biomechanics - Postures adopted during work; Static and dynamic work - Application of forces and transmission of movements - Repetitive tasks - Manual lifting and transport of loads 3. Effects on the Human Body - Musculoskeletal injuries 4. Approach to the Workplace - Main concerns - Adaptation of working conditions to the Human Being. 5. Working with Display Screens - Causes of discomfort - Prevention and protection measures - Good practices to adopt - Applicable legislation 6. Environmental Factors of Discomfort - Thermal Environment - Noise - Lighting - Air Quality 7. Organizational Factors Associated with Work - Adaptation to work - Occupational Stress - Fatigue - Monotony - Night Work 8. Legislation and obligations regarding health, hygiene and safety at work.

  • A avaliação curricular e/ou a avaliação final consiste na elaboração, apresentação e defesa de um trabalho de estudo de caso com a resolução de um conjunto de problemas (40%) e uma frequência (60%). Todos os momentos de avaliação são de carácter teórico e prático.

    As datas e momentos de avaliação são disponibilizadas na Plataforma Moodle.
  • Semestral
  • This curricular unit aims to provide its participants with knowledge and tools that enable them to identify preventive techniques and their importance for the prevention of accidents and occupational diseases, as well as modern and effective human resources management.

Supply Management

Category: Discipline
  • Reis, Lopes (2010). Manual da Gestão de Stocks, Editorial Presença. Gonçalves, José (2006). Gestão de Aprovisionamentos - Stocks. Revisão. Compras, Publindústria. Neil, William, Galgani Mathew (2013). How To Make Money In Stocks Getting Started: A Guide To Putting Can Slim Concepts Into Action, McGraw-Hill Education – Europe. Pereira, R. et al. (2009). Stock Options, Elementos financeiros, contabilísticos e fiscais, Bnomics.
  • Logistics
  • 6012
  • 21579
  • Supply Management
  • ISLA Santarém6012-21579
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • #
  • Mandatory
  • #
  • #

  • Descrição dos instrumentos de avaliação (individuais e de grupo) ¿ testes, trabalhos práticos, relatórios, projetos... respetivas datas de entrega/apresentação... e ponderação na nota final.

    Exemplo:

    Descrição

    Data limite

    Ponderação

    Trabalho

    dd-mm-yyyy

    40%

    Teste de avaliação

    dd-mm-yyyy

    60%

    (...)

     

     

     

    Adicionalmente poderão ser incluídas informações gerais, como por exemplo, referência ao tipo de acompanhamento a prestar ao estudante na realização dos trabalhos; referências bibliográficas e websites úteis; indicações para a redação de trabalho escrito...

     
  • Semestral
  • #
  1. Management of Stocks
  2. Microbiology
  3. English Language I
  4. Team Management and Work Organisation

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