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Computer Programming I

Details
Category: Discipline
  • Guerreiro, Pedro (2002) Pascal – Técnicas de Programação. FCA, Editora de Informática. Garrot, J. & Lopes, I (2009). Algoritmos e Estruturas de Dados. Edições Universitárias Lusófonas. Feofiloff, Paulo (2008). Algoritmos em C. Editora Campus. Guerreiro, Pedro (2006). Elementos de Programação com C. Coleção Informática, Europa América
  • Information Systems Technology and Programming
  • 2045
  • 15887
  • Computer Programming I
  • ISLA Santarém2045-15887
  • 1
  • 6
  • 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 Prático Individual (4x)

    dd-mm-yyyy

    30%

    Portfolio

    dd-mm-yyyy

    10%

    Frequência

    dd-mm-yyyy

    40%

    Trabalho de Grupo

    dd-mm-yyyy

    20%

    Em época normal, a avaliação curricular é composta pela realização de quatro trabalhos individuais, com o peso de 7.5% cada, perfazendo um total de 30%; Junta-se um trabalho de Grupo com o peso de 20%; complementa-se a avaliação com uma prova escrita sobre os conhecimentos adquiridos, com um peso de 40%; ficando os restantes 10% para o portfolio de trabalhos realizados nas sessões, sendo feita uma regra de três simples sobre o total de exercícios pedidos e o total de exercícios entregues.

    Na época normal, trabalhos individuais, frequência e trabalhos de grupo são obrigatórios, a não realização de exercícios de qualquer um dos tipos reprovada automaticamente o aluno (frequência obrigatória, trabalho de grupo obrigatório e trabalho individual pelo menos um). Todos os exercícios de avaliação são realizados em sala de aula, em caso de não comparência em aulas de avaliação os alunos terão zero valores nessa avaliação. Os trabalhos são de defesa obrigatória. Nas épocas final de recurso e especial, a avaliação será orientada pelos mesmos objetivos e baseia-se num exame (100%), integrando a componente teórica e a componente prática da unidade curricular.

  • Semestral
  •   

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.
  • Information Systems Technology and Programming
  • 2045
  • 12561
  • English
  • ISLA Santarém2045-12561
  • 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.
  • Content 1. Global communication. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 2 The English language in socio-professional daily life. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 3 The English language and new technologies. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 4. Oral and written communication in English. [O1, O2, O3, O4 and O5; C1, C2, C3, C4]. Content 4.1 The formal aspects (phonological, syntactic and lexical-semantic) of the English language system. [O1, O2 and O3; C1, C2 and C3]. Content 4.2 Grammar: verb tenses; If-clauses. [O1, O2 and C1, C2]. Content 4.3 Interpretation and text production. [O1, O2, and O5; C1, C2]. Content 4.4 Planning and development of individual projects in English; written and oral presentation of these projects. [O1, O2, O3, O4 and O5; C1, C2, C3, C4].
  • 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

    12-01-2026

    50%

    Portfolio

    Ao longo do ano

    15%

    Apresentação oral

    24-11-2025

    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
  • NA

Fundamentals and Design of Information Systems

Details
Category: Discipline
  • O´Neill, H. (2004). Fundamental do UML. FCA, Editora de Informática. Ambler, Scott W. (2005).The Elements of UML, Cambridge University Press. Lopes, Filomena, Morais, Paula e Carvalho, Armando (2009). Desenvolvimento de Sistemas de Informação. FCA, Editora de Informática.
  • Information Systems Technology and Programming
  • 2045
  • 15886
  • Fundamentals and Design of Information Systems
  • ISLA Santarém2045-15886
  • 1
  • 4
  • 0
  • 25
  • Não
  • Português
  • The learning methodology will be based on problems/projects (Project Based Learning), integrating theoretical and practical concepts in the classroom. The curricular assessment consists of a written test on the theoretical component of the course and a group project. Each assessment element is weighted as follows: written test 50% and project 50%. The final assessment is guided by the same objectives and is based on an exam (100%) integrating the theoretical and practical components of the course.
  • Mandatory
  • O1:Define the fundamental concepts of an Information System. O2:Present systems analysis approaches and methodologies O3:Describe the analysis and design process using object orientation. O4:Develop analysis models using UML. O5:Build Use Case diagrams, Use Case specifications, Classes, Sequence and Collaboration, Activities, State, Physical.
  • C1. Background C1.1 Data vs Information C1.2 System concept C1.3 Systems analysis C1.4 Systems analysis approaches and methodologies C2. Structured analysis C2.1 Framework C2.2 Data flow diagram C2.3 Data dictionary C2.4 Process specification C3. Object-oriented analysis C3.1 Object orientation C3.2 Object-oriented design C3.3 Objects and classes C4. Modeling with UML C4.1 UML development C4.2 UML components C4.3 Modeling structure C4.4 Modeling behavior C4.5 Architecture modeling C5. Designing a system C5.1 Specifying requirements C5.2 Working with structured analysis C5.3 Working with object-oriented analysis
  • 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
  • .

Mathematics

Details
Category: Discipline
  • Aires, Luís M. (2021). Conceitos de Matemática – Fundamentos para as Ciências da Vida. Edições Sílabo. Gonçalves, Ricardo (2022). Álgebra Linear - Teoria e Prática. Edições Sílabo. Marques, S. et. al (2016). Introdução Computacional à Probabilidade e Estatística. Porto Editora. Costa, José, F.; Gouveia Paula (2019). Matemática Discreta. Editora IST.
  • Information Systems Technology and Programming
  • 2045
  • 2228
  • Mathematics
  • ISLA Santarém2045-2228
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Classes will begin with a presentation of the fundamental concepts of each topic, followed by a demonstration of their practical application through exercise solutions, both in the classroom and independently. This methodology aims to encourage active student participation and the development of autonomy and self-regulated learning skills. The expository method will be used to introduce the content, which will allow for the structuring of logical reasoning and facilitate the organization of knowledge. Additionally, the interrogative method will be used to assess the level of understanding and theoretical consolidation of the content covered in each chapter. Regarding the practical aspect, the demonstrative method will be used, with the presentation of illustrative examples, as well as active and participatory methods, which promote individual student engagement.
  • Mandatory
  • Explain the basic concepts of mathematics. Perform algebraic operations in different bases. Perform conversions between bases. Represent and perform operations with sets. Define Boolean algebra and utilize its properties. Use truth tables to identify the logical value of propositions. Perform operations with matrices. Use graphs to model and interpret problems. Explain how the mathematical tools introduced apply to computer science. Analyze and interpret a statistical problem. Analyze and identify situations and calculation methods to adopt for specific problems.
  • 1. Operations with bases 2. Set theory, logic, and Boolean algebra 3. Matrices and matrix operations 4. Graph theory 5. Elementary notions of statistics
  • Época Normal - Avaliação curricular (contínua) (*): O estudante constrói um portfólio com base nas atividades de avaliação ativa desenvolvidas ao longo do semestre e 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 = 0.3*P+0.35*T1+0.35*T2, onde P, T1 e T2 denotam, respetivamente, as notas no portfólio e 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

    Portfólio

    Consultar Moodle, consoante a turma.

    30%

    Teste 1

    Consultar Moodle, consoante a turma

    35%

    Teste 2

    Consultar Moodle, consoante a turma 35%

    Exames

    A agendar pelos serviços. 100%
  • Semestral
  • The Mathematics course is a key component of many programs, especially in Science, Technology, Economics, Management, and Engineering—as is the case at CTeSP in TPSI. The main objective of this course is to provide students with a solid foundation in essential mathematical concepts, such as operations with different numerical bases, logic, set theory, linear algebra, graphs, and statistics. This knowledge is essential not only for more advanced courses but also for dealing with real-world problems that arise in various fields. Throughout the course, theoretical and practical tools are combined to help students think in a structured and logical way. The goal is for them to be able to interpret problems, find solutions, and apply concepts in a practical way. Furthermore, this course seeks to stimulate critical and analytical thinking, demonstrating the usefulness of mathematics in everyday life, helping students prepare for the future.

Operating Systems

Details
Category: Discipline
  • Irv Englander (2000). The Architecture of Computer Hardware and Systems Software. John Wiley & Sons, Inc. Ritch Robinson, Windows 7 – Guia de Bolso, Mintywhite.com. Siberschatz, M. Galvin, P. (2005). Fundamentos de Sistemas operativos. McGraw Hill. Nunes, S. & Trezentos, P. (2008). Linux para Pcs – Caixa Mágica. FCA, Editora de Informática.
  • Information Systems Technology and Programming
  • 2045
  • 6305
  • Operating Systems
  • ISLA Santarém2045-6305
  • 1
  • 5
  • 0
  • 25
  • Não
  • Português
  • The course employs a combination of lecture-based instruction, guided inquiry, and active learning strategies to encourage classroom discussion and the resolution of both theoretical and practical exercises. Strong emphasis is placed on hands-on practice through the use of virtual machines for the installation and configuration of operating systems. In addition, the course incorporates problem-based learning (PBL), project-based learning, case-based analysis, and peer-to-peer discussions to promote critical thinking and collaborative learning.
  • Mandatory
  • Learning Objectives Upon successful completion of this course, students will be able to: Define and explain the concept of an operating system. Identify and describe the main functions of an operating system. Analyze the historical evolution of operating systems. Differentiate between the various types of operating systems. Explain the architecture and characteristics of multiprocessor systems. Understand and apply concepts of synchronization and scheduling. Describe the principles and features of distributed systems. Assess user requirements and select the most appropriate client operating system. Install and configure client operating systems. Install and distinguish between resident and installable device drivers. Configure client operating systems according to specific needs. Install and manage the different components of an operating system.
  • 1. Operating System Theory Functions and characteristics of an operating system Concurrent processes The operating system kernel Memory management Input and output management File system Resource management Protection Reliability The concept of multitasking Information sharing and inter-computer communication 2. Types and Roles of Operating Systems Concepts of proprietary software, free software, GNU, and GPL Linux vs. Microsoft 3. Client Operating Systems Proprietary client operating systems Open-source client operating systems 4. Installation and Configuration of Operating Systems (Proprietary and Open Source) Disk partitioning and formatting Installation options Resource optimization Device and driver installation System configuration according to specific hardware Multiple system configurations Troubleshooting Application installation
  • 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

     

    50%

    Portfolio

     

    50%

     

     

  • Semestral
  • .
  1. Portuguese Language
  2. Computer Hardware
  3. Computer Programming II
  4. Database I

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