Teaching Methodologies
In theoretical classes, each topic is presented and complemented by application exercises. In laboratory classes students solve practical
problems on the computer. For each new topic, the teacher, with the collaboration of the students, solves an initial application exercise. The
remaining exercises are solved independently by the students under the teacher’s guidance. Students are encouraged to share ideas with
their peers and explore different solutions to the same problem. The different solutions that arise are presented and discussed orally with
the students.
Learning Results
Be aware of some of the computational tools used in engineering, in a generic way. Understand essential concepts that support
programming practice in most common languages and illustrate their application in the Matlab environment. Create and code algorithms in
a high-level programming language. Understand and apply the concepts of modularity and structured programming. Acquire the ability to
use computational tools as an instrument for analyzing and solving problems in Electromechanical Engineering. Practising the interchanging
of ideas and the discussion of problems and solutions. Developing self-knowledge acquisition habits.
Program
Introduction to computational tools.
Matlab as a computational tool and as a programming language.
Introduction to programming: algorithm, structure of a program, Matlab code editor (scripts).
Variables, data formats and types.
Numeric expressions and operators. Elementary functions.
Input and output data instructions.
Conditional Instructions: switch case instruction; if instruction; relational and logical operators.
Repetition loops: for loop; while loop; break instruction.
Arrays: one-dimensional and two-dimensional; creation and operations with arrays.
Functions (subprograms): internal and external functions; structure of a function; local and global variables.
Data import and export from/to external files.
Internship(s)
NAO
Bibliography
Chapman, J. (2024). Matlab Programming for Engineers (7th ed.). Cengage Learning.
Gilat, A. (2017). MATLAB: An Introduction with Applications (6th ed.). John Wiley & Sons, Inc.
Marques, J. (2020) – Sebenta de Introdução à Programação. ISEC (disponível no Inforestudante)
Carvalho, A. (2023) – Diapositivos de apoio às aulas. ISEC (disponível no Inforestudante)
Marques, J. & Carvalho, A. (2023) – Caderno de problemas práticos. ISEC (disponível no Inforestudante)
Bibliografia Complementar:
Morais, V. & Vieira, C. (2013) – MATLAB – Curso Completo, Ed. FCA (Biblioteca do ISEC: 1A-1-453)
Chapman, J. (2008) – Programação em MATLAB para Engenheiros (4ªed.). Thomson Engineering (Biblioteca do ISEC: 1A-1-453)
Chapman, J. (2009) – Essentials of MATLAB programming (2ªed.). Cengage Learning (Biblioteca do ISEC: 1A-1-237)
Chapra, S. C. & Canale, R. P. (2008). Métodos Numéricos para Engenharia (5ªed.). McGraw-Hill. (Biblioteca do ISEC: 1A 3-4-118)