CP 1. Models, unities and calculus
CP 2. Unidimensional movement
CP 3. Bidimensional movement
CP 4. Newton's laws
CP 5. Conservation of Energy
CP 6. Electric Field and Magnetic Field
CP 7. Plane Waves and Transverse Waves
CP 8. Propagation of Electromagnetic Waves

Passing requires a grade of no less than 10 out of 20 in one of the following modalities:
- Assessment throughout the semester: 1 midterm mini-test (20% - minimum grade of 7 out of 20 is required) + autonomous work (10%) + 1 final test on the first exam date (70%);
- Assessment by exam (100%): Individual written test in any exam period.
- An oral assessment may be conducted after any assessment moment to validate the final grade.

Mandatory

Paul G. Hewitt, Física: Princípios e Problemas, Editora Artmed, 2019.
David Halliday, Robert Resnick e Jearl Walker, Fundamentos de Física, Editora LTC, 2021.
Adilson J. S. Pereira e Ricardo M. F. de Oliveira, Física: Conteúdo e Prática, Editora Pearson, 2020.
Raymond A. Serway e John W. Jewett, Physics for Scientists and Engineers, Cengage Learning, 2019.
Hugh D. Young e Roger A. Freedman, University Physics with Modern Physics, Pearson, 2019.

Optional

R. P. Feynman, Feynman Lectures on Physics, Edição Addison Wesley, 2011.

CP1: Introduction
CP2: Combinational Logic
CP3: Sequential Logic
CP4: Programming Languages
CP5: Algorithms
CP6: Finite Automation
CP7: Programmable Industrial Automation

Compulsory attendance of the student in 90% of Curricular Unit activities. Completion and presentation in laboratory of group project. Assessment weights:
- 5% - Attendance and participation in class.
- 70% - 4 group project work assignments.
- 25% - Mini-test with multiple answers.
The student waives the exam with 10 marks. In case of failure in the regular season the student has access to the exam of the resource season.

Mandatory

J. N. Pires, ?Automação Industrial?, 3a Edição. Lidel, 2007.
J. R. C. Pinto, ?Técnicas de Automação?, Lidel, Lisboa, 2004.
A. Francisco, ?Autómatos Programáveis (Programação, GRAFCET, Aplicações)?, 4a Edição, Lidel, 2007

Optional

Mandado Pérez et al, Autómatas Programables, entorno y aplicaciones, Thomson, ed. Siemens, 2005;
W. Bolton , Programmable Logic Controllers - 6th Edition, Elsevier

PC1 Concept of vector space (VS) and subspace. Linear dependence of vectors and basis of a VS.
PC2 Points and vectors in the plane and in space. Distance between two points and from a point to a line. Plane sections and spherical surface.
PC3 Vectors and operations. Internal product. Parallelism and perpendicularity of vectors. Relative position of lines and planes.
PC4 Vector director and equation of a line.
PC5 Cross product. Vector normal to a plane and equations of the plane.
PC6 Parametrization of curves in plane and in space. Normal and tangent vectors to a curve. Intersection of curves. Polar coordinates.
PC7 Matrices and operations. Inverse of a non singular matrix. Determinant of a square matrix.
PC8 Systems of linear equations. Matrix form and resolution. Linear transformations.
PC9 Quadratic equations. Complex numbers in algebraic and polar forms. Euler's formula.
PC10 The set of complex numbers as real VS . Moivre's formula. Roots of a complex number.

Approval with classification not less than 10 points (scale 1-20) in one of the following modalities:
- Assessment Throughout the Semester: 8 exercises completed during classes (35%) (only the 6 highest-scoring exercises are considered) + exercises solved on Moodle (5%) + final written test (60%). A minimum score of 7 out of 20 is required for each assessment component.
- Exam Assessment: In any exam period, with an individual written exam (100%).

A minimum attendance of 2/3 of the classes is required.

Mandatory

[1] Cabral, I., Perdigão C. e Saiago, C. (2018). Álgebra Linear: Teoria, Exercícios Resolvidos e Exercícios Propostos com Soluções, Escolar Editora.
[2] Strang, G., (2007). Computational Science and Engineering, Wellesley-Cambridge Press.
[3] Goldstein, L. (2011). Matemática Aplicada ? Economia. Administração e Contabilidade, (12ª edição) Editora Bookman.
[4] Hanselman, D., Littlefield, B. and MathWorks Inc. (1997). The Student Edition of MATLAB, 5th Version, Prentice-Hall
[5] Materiais científico-pedagógicos (slides, notas de desenvolvimento, código e pseudo código, fichas de exercícios e problemas) disponibilizados pela equipa docente
Scientific-pedagogical materials (slides, lectures, code and pseudo code, exercise sheets, problems) provided by the teaching team.

Optional

David C. Lay, Linear Algebra and its Applications, Addison Wesley, Pearson

PC1. Integrated development environments. Introduction to programming: Logical sequence and instructions, Data input and output.
PC2. Constants, variables and data types. Logical, arithmetic and relational operations.
PC3. Control structures.
PC4. Lists and Lists of Lists
PC5. Procedures and functions. References and parameters.
PC6. Objects and object classes.
PC7. File Manipulation.

This course follows a semester-long project-based assessment model due to its predominantly practical nature, and does not include a final exam.

Students are assessed based on the following components (A1 + A2):
A1: Learning Tasks with teacher validation (30%)
Five learning tasks will be completed throughout the semester.
The A1 grade corresponds to the average of the grades for the five tasks. To pass A1, the student must meet one of the following requirements:
- obtain at least 7 points in each of the five tasks
or
- obtain a minimum average of 8 points across the five tasks.

A2: Mandatory Group Project (3) with theoretical-practical discussion (70%)
Minimum grade of 9.5 points.
Late submissions will result in penalties.

Remediation:
If a student misses an exam due to absence they may take a make-up exam at the end of the semester.

Attendance:
A minimum attendance of 2/3 of classes is required.

Mandatory

Portela, Filipe, Tiago Pereira, Introdução à Algoritmia e Programção com Python, FCA, 2023, ISBN: 9789727229314

Sónia Rolland Sobral, Introdução à Programação Usando Python, 2a ed., Edições Sílabo, 2024, ISBN: 9789895613878

Nilo Ney Coutinho Menezes, Introdução à Programação com Python: Algoritmos e Lógica de Programação Para Iniciantes. Novatec Editora, 2019. ISBN: 978-8575227183

John Zelle, Python Programming: An Introduction to Computer Science, Franklin, Beedle & Associates Inc, 2016, ISBN-13 : ‎978-1590282755

Ernesto Costa, Programação em Python: Fundamentos e Resolução de Problemas, 2015, ISBN 978-972-722-816-4,

Optional

João P. Martins, Programação em Python: Introdução à programação com múltiplos paradigmas, IST Press, 2015, ISBN: 9789898481474

David Beazley, Brian Jones, Python Cookbook: Recipes for Mastering Python 3, O'Reilly Media, 2013, ISBN-13 ? : ? 978-1449340377

Kenneth Reitz, Tanya Schlusser, The Hitchhiker's Guide to Python: Best Practices for Development, 1st Edition, 2016, ISBN-13: 978-1491933176, https://docs.python-guide.org/

Eric Matthes, Python Crash Course, 2Nd Edition: A Hands-On, Project-Based Introduction To Programming, No Starch Press,US, 2019, ISBN-13 ‏: ‎978-1593279288