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Machine Learning

Details
Category: Discipline
  • Akshay, B. R., Pulari, S. R., Murugesh, T. S., & Vasudevan, S. K. (2024). Machine Learning: A Comprehensive Beginner's  Guide. CRC Press. Liu, Y. H. (2024). Python machine learning by example. Packt Publishing Ltd.  Barua, T., Hiran, K. K., Jain, R. K., & Doshi, R. (2024). Machine learning with python. Walter de Gruyter GmbH & Co KG. Harrison, M. (2019). Machine Learning-Guia de referência rápida: trabalhando com dados estruturados em Python. Novatec  Editora.
  • Artificial Intelligence
  • 7052
  • 24656
  • Machine Learning
  • ISLA Santarém7052-24656
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  •   
  • Mandatory
  • 1. Build machine learning models in Python. 2. Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression.
  • 1. Introduction to Machine Learning: 1.1. Definition 1.2. Applications 2. Unsupervised learning 2.1. Variable dimension reduction techniques 2.2. Clustering 2.2.1. Techniques for determining the number of clusters 2.2.2. Clustering models 2.3. Association rules 3. Supervised learning 3.1. Classification models 3.2. Regression models 4. Reinforcement learning
  • Os instrumentos de avaliação são uma frequência e um projeto. No projeto engloba um produto entregue no moodle que será analisado pelo docente e uma apresentação e entrega. As datas para a realização e entrega dos mesmos são disponibilizadas no moodle.

    Descrição

    Data limite

    Ponderação

    Frequência

    dd-mm-yyyy

    50%

    Projeto **

    dd-mm-yyyy

    50%

    Exame

    dd-mm-yyyy

    100%

    Nota: Individual e em grupo**

     

  • Semestral
  •   

Quantitative Methods

Details
Category: Discipline
  • Aires, L. M. (2013). Conceitos de Matemática - Fundamentos para as ciências da vida. Lisboa: Edições Sílabo. Luis, G. & Ribeiro, C. S. (1995). Álgebra Linear. Lisboa: McGraw-Hill de Portugal. Tan, S. T. (2010). Applied Mathematics: for the managerial, life, and social sciences (5th Ed). Brooks/Cole.
  • Quality, Environment and Safety Management
  • 1993
  • 4944
  • Quantitative Methods
  • ISLA Santarém1993-4944
  • 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. To develop students' reasoning skills; O2. To develop skills related to numerical patterns and relationships; O3. To introduce estimation and numerical calculation; O4. To present the basic principles of patterns and functions; O5. To present the principles of patterns in algebra, equations and inequalities; O6. To provide students with knowledge related to graphs and functions; O7. To develop skills related to limits and continuity of functions. At the end of the course, students should be able to: C1. Master the techniques associated with patterns, numerical relationships, estimation and numerical calculation; C2. Master the basic principles of patterns, functions and algebra; C3. Understand the fundamental concepts of graphs, functions, limits, continuity of functions and their applications; C4. Use mathematical language in the development of calculation techniques; C5. Apply calculation techniques in different situations.
  • 1. Numerical Patterns and Relations 2. Numerical Estimation and Calculation 3. Patterns and Functions 4. From Patterns to Algebra - Equations 5. From Patterns to Algebra - Inequalities 6. Graphs and Functions 7. Limits and Continuity of Functions
  • Época Normal - Avaliação curricular (contínua) (*): O estudante realiza dois testes de avaliação individual. O estudante aprova se a classificação final for superior ou igual a 9.5 valores em 20 valores. A classificação final é calculada pela fórmula Classificação Final =0.50*T1+0.50*T2, onde T1 e T2 denotam, respetivamente, as notas nos testes de avaliação individual.

    (*) A realizar no decorrer do semestre.

    Época Normal - Avaliação final: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores em 20 valores.

    Épocas de Recurso e Especial: O estudante realiza o exame completo e aprova se obtiver classificação superior ou igual a 9.5 valores em 20 valores.

     

    Descrição

    Data 

    Ponderação

     

     

     

    Teste 1

    4/11/2025

    50%

    Teste 2

    20/01/2026 50%

    Exames

    A agendar pelos serviços. 100%
  • Semestral
  • The Quantitative Methods course plays a fundamental role in the areas of Science, Technology, Economics and Management, as is the case of the CTeSP Quality, Environment and Safety Management. Its main objective is to provide students with a solid foundation in essential mathematical concepts, preparing them for more advanced subjects. The course presents theoretical and practical tools that are essential for modeling and solving problems in different areas of knowledge. Students are expected to develop structured logical-mathematical reasoning, which will allow them to interpret, formulate and solve problems, creating a knowledge base that can be applied in subsequent subjects. The course encourages students' critical and analytical thinking with practical applications in order to contribute positively to their academic and professional future.

Software Engineering for AI

Details
Category: Discipline
  • Guerreiro, S. (2015). Introdução à Engenharia de Software. FCA. Valente, M. T. (2020). Engenharia de software moderna. Princípios e Práticas para Desenvolvimento de Software com Produtividade. eBook.  Pressman, R.S., Maxim, B.R. (2021). Engenharia de software. Uma Abordagem Profissional. Grupo A Educação, McGraw-Hill. Paula Filho, W.P. (2019). Engenharia de software: projetos e processos. LTC. Paula Filho, W.P. (2019). Engenharia de software: produtos. LTC.
  • Artificial Intelligence
  • 7052
  • 26664
  • Software Engineering for AI
  • ISLA Santarém7052-26664
  • 1
  • 3
  • 0
  • 25
  • Não
  • Português
  •   Flipped classroom and problem-based learning.
  • Mandatory
  • Define requirements analysis and recognize its importance. Create software specifications using key software development methodologies and techniques. Effectively manage the complexity of the systems to be implemented. Use support tools. Produce quality software.  
  • 1. Fundamental concepts of software engineering 1.1 Development process 1.2 Software development issues 2. Requirements engineering 2.1 What requirements engineering consists of 2.2 Importance of requirements engineering 2.3 The requirements engineering process 3. System modeling 3.1 Concepts and principles of system modeling 3.2 Object-oriented analysis 3.3 Principles of object-oriented modeling 4. Software design 4.1 Fundamental concepts and principles 4.2 Architectural design 4.3 Object-oriented design 4.4 Principles and techniques 4.5 Process support tools 5. Software testing 5.1 Use of testing frameworks
  • 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 de avaliação

    dd-mm-yyyy

    70%

    Portfolio - 3 trabalhos

    dd-mm-yyyy

    30%

    (...)

     

     

     

    A não realização do teste de avaliação impede a aprovação por avaliação curricular. Os 3 trabalhos devem ser realizados em sala de aula.

     

  • Semestral
  • Software Engineering for AI teaches the design, writing and testing of codes, and maintenance of programs that have the purpose of solving complex problems with efficient and safe solutions. All previous curricular units have a greater focus on syntax and programming techniques, while in this curricular unit students learn the techniques of designing and developing software in an efficient, readable, modular and scalable way. This module is essential for developing the design and programming skills that students will face in the job market.

Environmental and Occupational Health and Safety Legislation

Details
Category: Discipline
  • CABRAL, Fernando e ROXO, Manuel M., Segurança e Saúde no Trabalho - Legislação anotada,Coimbra, Almedina, 2008 CORREIA, Manuela, Directivas Sociais, Lisboa, IDICT MONTEIRO FERNANDES, António, Direito do Trabalho, Coimbra, Almedina, 2009 NETO, Abílio, Novo Código do Trabalho e legislação complementar, Ediforum, 2010 AMADO, João Leal, Contrato de Trabalho, Coimbra, Coimbra Editora, 2009 CARREIRA, Abel e outros (sob a Coordenação e Revisão Técnica do Dr. Fernando Cabral), Manual Segurança, Higiene e Saúde no Trabalho, Verlag Dashofer – Edições Profissionais, 2010 QUINTAS, Paula e QUINTAS, Hélder, Código do Trabalho – Anotado e Comentado, Almedina, 2010 Convenções OIT Legislação avulsa Normas técnicas
  • Quality, Environment and Safety Management
  • 1993
  • 15504
  • Environmental and Occupational Health and Safety Legislation
  • ISLA Santarém1993-15504
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  •  In person: 1. Theoretical/practical classes: exposure of concepts and discussion of syllabus. 2. Case Studies: Resolution of case studies on the themes. Autonomous: 3. Consolidation of the content taught in class through research for additional information on the different topics covered and development of additional work.
  • Mandatory
  • The objectives of the curricular unit are: O1. To provide students with knowledge of the fundamental legal parameters that govern the world of work. Skills: C1. Develop critical and argumentative skills in relation to positive law; C2. Developing skills within the course, acquiring notions regarding jus work and understanding the legal framework of individual and collective relationships and its position on Social Security; C3. Understand the major institutions of labor law by developing skills that will enable it to act as a social actor of the system, acting on their problems and opportunities; C4. Knowing the use of certain applications legal forms; C5. Guide and advise the different actors of economic activity on the legislative framework and enforcement of labor provisions required in terms of SHST.
  •  1.Introduction 1.1.Concept and characteristics Labor Law 1.2.Historical 2.Sources Labor Law 3.Contract of employment / subjects 4.Providing work. 5.Remuneration and other property assignments 6.Safety, hygiene and health at work 7.Accidents work / occupational diseases 8.Vicissitudes contract - Failure to fulfill contract 9.Termination of contract 10.Law Collective 11.Instruments collective regulation work 12.laws, ordinances, decrees, regulations, ordinances 13.Standards and binding recommendation 14.Understanding employment law 15.Concept and historical evolution of Social Security 16.The legal framework preventing occupational risk prevention system on the management company in 17.Organization and operation services safety, hygiene and health at work 18.Legislation:. 18.1.preparation of detailed plans for prevention and protection 18.2.sectoral coverage
  • A Avaliação Curricular será concretizada através da realização de 2 testes escritos obrigatórios (50% de ponderação cada). A Avaliação Final consiste na realização de um exame escrito (100% de ponderação). 

    Descrição

    Data limite

    Ponderação

    1º Teste de avaliação

    Ver plataforma Moodle

    50%

    2º Teste de avaliação

    Ver plataforma Moodle

    50%

    Exame

    (a designar pelos serviços)

    100%

    (*) Sujeito a confirmação

     

     

  • Semestral
  • Introduction to the study and understanding of the guiding legal principles in work, safety and health and their relevance in terms of applicability, with an impact on companies. 

English

Details
Category: Discipline
  • Badger, I. & Menzies, P. (2005). Business Life. London. Marshall Cavendish Education. Brooks, Bessie (2013). A Guide To English Grammar: Conjugation Of Verbs Volume 1, 2 and 3, Xisbris Corporation. Denham, K. & Lobek, Anne (2013). Navigating English Grammar - A Guide To Analyzing Real Language, John Wiley and Sons Ltd. Evans, V., Dooley, J. & Wright, S. (2012).Career Paths: Information Technology, UK. Express Publishing. Swan, Michael & Walter C. (2007). How English Works: A Grammar Practice Book (With Answers), Oxford University Press.
  • Commercial and Sales Management
  • 1991
  • 12561
  • English
  • ISLA Santarém1991-12561
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • In presence: 1. Theoretical/practical classes: presentation of concepts; discussion of programme contents; textual interpretation; resolution of grammatical and lexical exercises using digital tools (RED).  2. Practical classes: conversational situations; simulation of real situations; discussion of topics; brainstorming; researching information and presenting/discussing it, using digital tools (AI); solving exercises either in an intranet environment or using paper support. Autonomous: 3. Inverted classroom dynamics with information research for application in the classroom context.  4. Consolidation of the contents taught in class by researching additional information and solving exercises on the different themes and contents.
  • Mandatory
  • O1. Promote the development of oral and written skills. O2. Mobilize previously acquired linguistic knowledge and apply it in new learning situations. O3. Provide the improvement of the English language, adapting it to the socio-professional context. O4. Use the English language as a work and communication tool. O5. Improve the interpretation of scientific and technological matters. Skills and competencies: C1. Develop autonomy in communication, promoting oral and written expression, as well as mastery of grammatical rules and vocabulary. C2. Be able to apply previous linguistic knowledge to new contexts, adapting what has been learned to varied communication situations. C3. Know and practice vocabulary and technical terms related to your area of ¿¿work. C4. Actively apply the English language in work tasks and situations, as a means of communication.
  •   1. Global communication.  2. The English language in socio-professional daily life.  3. The English language and new technologies.  4. Oral communication and written communication in English.   4.1 The formal (phonological, syntactic and semantic) aspects of the English language system.   4.2 Grammar: verb tenses; if-clauses.   4.3 Interpretation and text production.   4.4 Planning and development of individual projects in English; written and oral presentation of these projects.
  • 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 de avaliação

    08-01-2026

    50%

    Portfolio

    Ao longo do semestre

    15%

    Apresentação Oral

    04-12-2025

    35%

     

    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. Occupational Health and Safety Management Systems
  2. Infomation and Communication Technologies
  3. Risk Management
  4. Organization and Management

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