- Details
- Category: Discipline
- IT for eCommerce
- 6616
- 1792
- Databases
- ISLA Gaia6616-1792
- 1
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- Silveira, A. (2025). Material de Apoio à Unidade Curricular de Avaliação e Controlo de Riscos.ISLA -Instituto Politécnico de Gestão e Tecnologia. Cabral, F. e Roxo, M. (2008). Segurança e Saúde no Trabalho -Legislação anotada ( 5.ª ed.) .Livraria Almedina, Cardella, B. (1999). Segurança no Trabalho e Prevenção de Acidentes. Uma AbordagemHolística . São Paulo. Editora Atlas. Comissão Europeia (1996). Guia para a Avaliação de Riscos no Local de Trabalho. Direcção Geral do Emprego, Relações Industriais e Assuntos Sociais. Robson, L. S., et al (2001). Guide to Evaluating the Effectiveness of Strategies for Preventing Work Injuries . DHHS (NIOSH). Roxo, M. (2009). Segurança e Saúde do Trabalho: Avaliação e Controlo de Riscos ( 2.ª ed.).
- Safety at Work Engineering
- 1181
- 4219
- Risk Assessment and Control
- ISLA Gaia1181-4219
- 2
- 6
- 0
- 27
- Não
- Português
- 1. Teaching Methodology Bearing in mind the theoretical and practical objectives of the curricular unit, the programmed teaching methods are as follows: Theoretical-practical classes to expose the subject (expository and interrogative method) with presentations and discussions by the students (active and participatory method). Presentation of practical examples through dynamic image and group work. Presentation of case studies, demonstrations, public presentations. 2.Evaluation method The evaluation will be made through the use of two tests distributed throughout the semester, an individual work subject to certain rules presented in a statement and final exam: 1 intermediate written test with a minimum grade of 7.5 values and a weighting of 35% in the final grade. 1 final written test with a minimum grade of 7.5 values and a weighting of 35% in the final grade. 1 individual assignment with a minimum grade of 12 values and a weighting of 30% in the final grade. Period exam with a minimum
- Mandatory
- Objectives: Define the basic notions and concepts of risk assessment and terminology. Define the risk assessment and relate it to the general principles of preventative safety and health at work. Identify the main causes that have given rise to accidents, as well as their combination and characterization of the concept of multiple causes in accidents. Design and perform the accident investigation work. Describe the methodologies and techniques for hazard identification and risk assessment. Define the basic concepts and notions of risk control. Describe the general principles of prevention and its practical application in risk control. Identify the various areas and measures to risks control. Identify techniques for monitoring and controlling the implementation of preventive measures.
- 1. A framework for assessing and controling risks. 2. Accidentology models and causality of occupational accidents. 3. The accident investigation work. 4. Analysis and risk assessment. 5. The risk control.
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
Teste escrito de avaliação 1
Abril
35%
Teste escrito de avaliação 2
Junho
35%
Trabalho individual
Junho
30%
É obrigatoria a execução dos três elementos de avaliação identificados anteriormente para aprovação na unidade curricular. Transitam automáticamente para avaliação final por exame na 1ª época, os estudantes que obtenham na avaliação distribuída:
- Uma nota inferior a 7,5 valores em cada um dos testes escritos (incluindo a não execução do teste). A matéria do exame final será a matéria do teste onde não conseguiiu a nota mínima. Caso não obtenha a nota mínima nos dois testes a matéria do exame será a matéria global da unidade curricular.
- Uma nota inferior a 12 valores no trabalho individual ou de grupo (incluindo a não apresentação do trabalho).
- Uma média aritmética da soma das notas dos dois testes, inferior a 9,5 valores.
2. A aprovação na unidade curricular obedecerá aos critérios definidos no quadro exemplificado anteriormente (nota mínima nos dois testes e trabalho individual, média aritmética de 9,5 valores no somatório dos dois testes).No caso do estudante não atingir a nota mínima de 7,5 valores no 1º ou 2º teste, ou na nota mínima de 12 valores no trabalho individual, transitará para o exame final, sendo que a nota final será composta da seguinte forma:
- A média aritmética da soma das notas do teste e do exame final (igual ou superior a 9,5 valores), com uma ponderação de 70%, somada à nota do trabalho individual com uma ponderação de 30%.
- A nota do exame de matéria global (igual ou superior a 9,5 valores), com ponderação de 70%, somada à nota do trabalho individual com ponderação de 30%.
- Semestral
- Since the completion of the degree in Safety at Work Engineering also allows the student applies for professional certification as a Senior Technical Safety at Work (Level 6), since this course is approved by the Authority for Working Conditions, objectives and syllabus program of this Course was in part based on the objectives and themes addressed as part of the syllabus of the Manual of Certification of former IDICT, dated 2001.
- Details
- Category: Discipline
- Business Management
- 1206
- 3510
- Business Finances
- ISLA Gaia1206-3510
- 3
- 6
- 0
- 27
- Não
- Português
- Semestral
- Details
- Category: Discipline
- 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.
- Development for the Web and Mobile Devices
- 2010
- 7667
- Maths for Computing
- ISLA Gaia2010-7667
- 1
- 6
- 0
- 27
- Não
- Português
- 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.
- Mandatory
- 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.
- 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
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.
- Semestral
- 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.
- Details
- Category: Discipline
- Kerzner, Harold (2017). Project Management, A Systems Approach To Planning, Scheduling, And Controlling, John Wiley and Sons Ltd. Creswell, J.W. 2014, Research design: qualitative, quantitative, and mixed methods approaches, 4th edn, SAGE Publications, London; Los Angeles. Goldkuhl, G. (2013). ACTION RESEARCH VS. DESIGN RESEARCH: USING PRACTICE RESEARCH AS A LENS FOR COMPARISON AND INTEGRATION, Accepted to the SIG Prag Workshop on IT Artefact Design & Workpractice Improvement, 5 June, 2013, Tilburg, the Netherlands Hevner, A.R., March, S. T., Park, J., Ram, S., (2004), ¿Design Science in Information Systems Research¿, MIS Quarterly vol. 28 No. 1, pp. 75-105/March 2004 Ajimotokan, H. A. (2023). Research Techniques: Qualitative, Quantitative and Mixed Methods – A Handbook for Engineering and Technology Researchers. Springer Foroudi, P. & Dennis, C. (2024). Researching and Analysing Business, Research Methods in Practice. Routledge.
- Technology and Web Systems Engineering
- 6158
- 7351
- Research Methodologies
- ISLA Gaia6158-7351
- 1
- 6
- 0
- 27
- Não
- Português
- Teaching Methodologies - Use of AI tools - Flipped Classroom - Critical discussion; - Simulation of methodological problems (sampling, bias, validity); - Practical micro-challenges in groups The discipline integrates, in an ethical and responsible manner, tools based on Artificial Intelligence to support the processes of study, research and scientific production. Assessment Methodologies Continuous assessment: - Individual research work (report and presentation); 40% - Individual research project proposal or project work (report and presentation); 60%. Final assessment: All students who did not successfully complete the continuous assessment may submit a research project proposal or project work (100%) at the assessment period defined by the institution.
- Mandatory
- To make known the norms that a dissertation or a project report must comply with, as defined in the regulation of dissertations and project work for 2nd cycle courses in force at the institution; Present the fundamental concepts necessary for scientific research; Identify the stages of development of a dissertation or a project work; Differentiate the stages of the investigation process; Exercise the ability to review the appropriate bibliography. At the end of the course the student should be able to: Plan the investigation combining theoretical and practical components; Critically assess the role of research in the professional area, in the domain of knowledge and in the domain of know-how. Prepare a master's thesis or project work; Master the citation rules (APA).
- 1. Introduction 1.1. Nature and object of the course 1.2. Justification of its importance in the master's 1.3. Basic bibliography presentation 2. Science and Computer Science 2.1. the notion of science 2.2 Scientific knowledge 2.3 Scientific research 2.4 The scientific method 2.5. Computer sciences and their place in the set of knowledge 2.6. Research methods and techniques 3. The logic of the investigation 3.1. Characteristics of scientific research 3.2. Stages of the scientific investigation process 3.2.1. the problematic 3.2.2. Rationale 3.2.3. Methodology 3.2.4. Data Collection and Analysis 3.2.5. Data processing software 3.2.6. The presentation of conclusions 4. The development of project work 4.1 The work methodology 4.2 The stages of project work 5 Academic writing and plagiarism 5.1 The bibliographic research process 5.2 Description, evaluation and comparison of information 5.3 Exploring a Bibliographic References Manager 5.4 Ethic and user of Generative AI in Research
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
Participação:
Apresentações de Trabalhos de Grupo (análise de artigos)
Ao longo do semestre
Final do semestre
10%
10%
Apresentações de Trabalhos de Grupo (análise de ferramentas) Final do semestre
25%
Apresentações de Trabalhos Individuais (artigo) Final do semestre
25%
Apresentações de Trabalhos Individuais (proposta investigação) Final do semestre 30% OU ¿Produção e defesa de Artigo Científico com o estado da arte
¿Definição e defesa da proposta de investigação
Final do semestre
40%
60%
- Semestral
- 1) Research contexts in the field of Web technologies; 2) Design and organization of research processes: Theories and research models, Definition and formulation of research problems, Ethics in the field of research, Construction and organization of bibliographic references; Stages of the scientific investigation process, Analysis model; 3) Data collection methods: Quantitative and qualitative methods, Surveys, Questionnaires, Interviews, Observation; 4) Sampling and data treatment techniques: Random and non-random samples, Statistical measures, Correlation and linear regression, Inferential statistics and estimation, Graphic representations, Hypothesis tests.
