Dissertation

Category: Discipline
  • Business Management
  • 2772
  • 3157
  • Dissertation
  • ISLA Santarém2772-3157
  • 2
  • 54
  • 1392
  • 25
  • Sim
  • Português
  • Optional
  • Anual

Linear Algebra

Category: Discipline
  • Ferreira, M. A & Amaral, I. (2020). Álgebra Linear Vol.1 e 2. Edições Sílabo. Gonçalves, R. (2022). Álgebra Linear, Teoria e Prática. Edições Sílabo. Johnston, N. (2021). Introduction to Linear and Matrix Algebra. Springer. Lay, D. C., Lay, S. R., & McDonald, J. J. (2021). Linear Algebra and its applications 6th edition. Pearson. Poole, D. (2016). Álgebra linear: uma introdução moderna. 2a Edição. Cengage Learning, São Paulo (Brasil).
  • Computer Engineering
  • 7030
  • 2091
  • Linear Algebra
  • ISLA Santarém7030-2091
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Synchronize remotely: 1. Expository methodology: address the concepts of different themes, following the demonstrative method in practical exemplification of the content. In person: 2. Practical application: carrying out a series of exercises inside and outside the classroom, inducing active and autonomous participation from students. 3. Active methods, using Motivation strategies and Active Pedagogical Methodologies such as Flipped Classrooms and Gamification. Autonomous: 4. Consolidation of the content taught in class through research for additional information on the different topics covered and development of additional work proposed by the teacher through the Moodle platform. The teacher provides feedback (Tutorial Guidance – OT) on the results obtained by the student in solving the proposed problems, in person in a classroom context or remotely in asynchronous mode via the Moodle platform
  • Mandatory
  • O1. To provide students with knowledge of set theory. O2. To introduce the concepts of algebraic structures. O3. Introduce the fundamentals of linear algebra. Competences: C1. Solve problems using equations and functions. C2. Use matrix theory to study and solve systems of linear equations. C3. Calculate determinants, eigenvalues and eigenvectors. C4. Apply linear algebra techniques to analytic geometry. C5. Interpret and apply the concepts associated with vector spaces and eigenvalues and eigenvectors. C6. Present problem-solving clearly and concisely.
  • 1 Elements of Set Theory 1.1 Relation of belonging. Equality of sets. Empty set. Inclusion relation. Set of parts. Difference of sets. Complementary sets. Union and intersection. 1.2 Cartesian product. Relations. Operations with relations. 1.3 Whole numbers. Divisibility. Prime numbers. Division algorithm. Congruence. 1.4 Functions. Injective, surjective and bijective functions. Inverse functions. Permutations. 2. Algebraic structures 2.1 Semigroups and Groups. Commutative groups. Notion of isomorphism. Subgroups. Finite groups. 2.2 Lagrange's theorem. Rings and bodies. Finite bodies. 3. Elements of Linear Algebra 3.1 Systems of linear equations. Gauss elimination. 3.2 Matrices. Operations with matrices. Inverse matrix. 3.3 Determinants. Properties of determinants. Applications of determinants. 3.4 Linear spaces. Subspaces. Bases and dimension of a linear space.

  • Avaliação Curricular (contínua):
    A1. Portfólio de exercícios práticos resolvidos ao longo das aulas.
    A2. Teste intermédio (indivudual).
    A3. Teste final (individual).
    O estudante é aprovado se a classificação final for igual ou superior a 9,5 valores em 20.
    A classificação final é calculada através da fórmula Classificação Final = 0,2*A1+0,4*A2+0,4*A3.
    Avaliação Final (A): O estudante realiza o exame completo  (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5
    valores em 20.
    Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo  (A=100%) e fica aprovado se obtiver uma
    classificação igual ou superior a 9,5 valores em 20.

     
  • Semestral
  • Fornecer as ferramentas matemáticas essenciais para compreender e desenvolver algoritmos utilizados em várias áreas da informática.

Labour Law III

Category: Discipline
  • Quintas, P., & Quintas, H. (2024). Código do Trabalho – anotado e comentado (8.ª ed.). Coimbra, Portugal: Almedina.Palma Ramalho, M. R. (2022). Direito do trabalho (3 vols., 3.ª ed. rev.). Coimbra, Portugal: Almedina. Ramalho, P. (2020). Tratado de Direito do Trabalho – Parte I – Dogmática Geral, 5.ª Edição, Coimbra, Almedina. Martinez, P. (2022). Direito do Trabalho, 10.ª Edição, Coimbra, Almedina.  
  • Human Resources Management
  • 1211
  • 13053
  • Labour Law III
  • ISLA Santarém1211-13053
  • 3
  • 4
  • 0
  • 25
  • Não
  • Português
  • Face-to-face: 1. Interrogative methodology for critical reflection and consolidation of knowledge in interaction with the teacher. 2. Active methodologies in the classroom, through group work, case studies, and design thinking moments geared toward the practical application of content. Independent work: 3. Individual consolidation through guided reading, problem solving, and in-depth study of the content covered in the in-person sessions.  
  • Mandatory
  • O1. Present the fundamental concepts of labor law. O2. Discuss the reality of labor and its standardization based on codification and major theories and doctrines. O3. Discuss topics related to other realities that have a direct influence on the labor context and clear repercussions on the social and economic reality of our country.  O4. Provide students with skills that enable them to communicate effectively through written, oral, graphic, and numerical language. C1. At the end of the course, students should be able to apply the knowledge acquired to explain the current labor reality, as well as be able to carry out self-learning and research individually or in groups.
  • 1. The world of work in the 21st century. 1.1. International commitments (EU) and their implications for the world of work. 1.2. Commitments/agreements on competitiveness and employment. 2. Globalization and labor relations. 3. Business competitiveness and labor legislation. 4. Productivity: conceptual aspects, challenges, and responses. 5. Flexicurity: an adequate response? 6. The legislative system and labor case law in Portugal in relation to economic competitiveness. 7. A labor system geared towards competitiveness and the challenges of the future. 8. Labor law in turmoil and its connection with the economy: causes and a contribution to its solution.

  • A avaliação curricular será concretizada através de um teste intermédio (60%) e de um trabalho (40%), ambos obrigatórios. A avaliação final será realizada através de exame escrito (100%).
  • Semestral
  • The course introduces the fundamental concepts of labor law and its doctrinal evolution, analyzing the standardization of the reality of work and its social and economic implications, while developing communication and independent research skills in a labor law context.  

Project

Category: Discipline
  • Business Management
  • 2772
  • 1919
  • Project
  • ISLA Santarém2772-1919
  • 2
  • 54
  • 1392
  • 25
  • Sim
  • Português
  • Optional
  • Anual

Mathematics I

Category: Discipline
  • Brokate, M., Manchanda, P., & Siddiqi, A. H. (2019). Calculus for Scientists and Engineers. Springer Singapore. Carneiro, C. E., Prado, C. P., & Salinas, S. R. (2020). Introdução elementar às técnicas do cálculo diferencial e integral. Instituto de Física. 3a edição. São Paulo (Brasil). Macedo, M. (2022).  Funções Reais de Várias Variáveis Reais. Universidade Católica Editora. Pires, G. (2022). Cálculo Diferencial e Integral em Rn. IST Press.
  • Computer Engineering
  • 7030
  • 1
  • Mathematics I
  • ISLA Santarém7030-1
  • 1
  • 6
  • 0
  • 25
  • Não
  • Português
  • Synchronize remotely: 1. Expository methodology: address the concepts of different themes, following the demonstrative method in practical exemplification of the content. In person: 2. Practical application: carrying out a series of exercises inside and outside the classroom, inducing active and autonomous participation from students. 3. Active methods, using Motivation strategies and Active Pedagogical Methodologies such as Flipped Classrooms and Gamification. Autonomous: 4. Consolidation of the content taught in class through research for additional information on the different topics covered and development of additional work proposed by the teacher through the Moodle platform. The teacher provides feedback (Tutorial Guidance – OT) on the results obtained by the student in solving the proposed problems, in person in a classroom context or remotely in asynchronous mode via the Moodle platform.
  • Mandatory
  • O1. Provide students with the knowledge to use algebraic expressions. O2. Solve equations and inequalities and apply this knowledge to real practical problems. O3. Use real variable functions and their properties to model real situations and solve problems. Competences: C1. Master and apply the techniques of derivation and integration in IR. C2. Model and solve optimisation problems for differentiable functions. C3. Calculate the sum of geometric and reducible series and develop some functions in power series. C4. Apply integral calculus in IR to solve problems.
  • 1. Real functions of a real variable. 2. Limits and Continuity: Notion of limit. Limit definition. Lateral limits. Limit calculation theorems. Indeterminacy in the calculation of limits. Definition of continuity. 3. Differential Calculus: Definition of derivative. Geometric interpretation of derivative definition. Differentiability and Continuity. Derivation rules. Derived from the implicit function. Successive derivatives. Cauchy's rule and L'Hôpital's rule. Indeterminacy in the calculation of limits. Applications of derivatives. 4. Integral Calculus: Primitives. Integration rules. Integration by parts. Integration by substitution. Integration of rational functions. Definite integral. Fundamental theorem of calculus. Applications of integral calculus: areas and volumes. Improper integrals. 5. Numerical Series: Definitions and Generalities. Successions.Series and convergence. Integral criterion. Comparison of series. Alternate series. Quotient and root criteria. Power series.

  • Avaliação Curricular (contínua):
    A1. Portfólio de exercícios práticos resolvidos ao longo das aulas.
    A2. Teste intermédio (indivudual).
    A3. Teste final (individual).
    O estudante é aprovado se a classificação final for igual ou superior a 9,5 valores em 20.
    A classificação final é calculada através da fórmula Classificação Final = 0,2*A1+0,4*A2+0,4*A3.
    Avaliação Final (A): O estudante realiza o exame completo  (A=100%) e é aprovado se obtiver uma classificação igual ou superior a 9,5
    valores em 20.
    Avaliação em Época de Recurso e Época Especial (A): O estudante realiza o exame completo  (A=100%) e fica aprovado se obtiver uma
    classificação igual ou superior a 9,5 valores em 20.
  • Semestral
  • This curricular unit presents the basic concepts and techniques of Mathematical Analysis.
  1. Taxation
  2. Traineeship
  3. Physics Applied
  4. Business Strategy and Planning

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