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Programmes

Bachelor in Engineering Physics

General information

Official Code: 9113
Acronym: L:EF

Certificates

  • First Degree in Engineering Physics (180 ECTS credits)

Courses Units

Linear Algebra and Analytic Geometry

M1038 - ECTS

Analysis I

M1039 - ECTS

Communication in Science

DP/CTT1001 - ECTS

Mechanics

FIS1013 - ECTS

Programming I

CCINF1001 - ECTS

Analysis II

M1015 - ECTS

Eletromagnetism I

FIS1014 - ECTS

Fundamentals of Chemistry

Q1002 - ECTS

Physics Laboratory I

FIS1015 - ECTS

Programming II

CCINF1002 - ECTS

Analysis III

M2037 - ECTS

Electromagnetism II

FIS2013 - ECTS

Electronics

FIS2015 - ECTS

Thermal Physics

FIS2014 - ECTS

Waves and Continuous Media

FIS2016 - ECTS

Computational Physics

FIS2018 - ECTS

Modern Physics

FIS2017 - ECTS

Physics Laboratory II

FIS2020 - ECTS

Probability and Statistics C

M2045 - ECTS

Signals and Systems

FIS2019 - ECTS

Statistical Physics

FIS3018 - ECTS

Physics Laboratory III

FIS3027 - ECTS

Fluid Mechanics

CTEC3001 - ECTS

Study of the fundamentals of fluid flows. Application to pipe flow and flow over immersed bodies.

Quantum Mechanics I

FIS3017 - ECTS

Optics and Photonics

FIS3019 - ECTS

Digital Electronics and Microprocessors

EEC3001 - ECTS

The unit has two key learning objectives:

  • Make known the theoretical and practical aspects of the analysis and synthesis of digital systems (combinational and sequential).
  • Equip students with skills to design and handle embedded systems based on microprocessors in general, and on ESP32 Pico Kit development board in particular.

Condensed Matter Physics

FIS3020 - ECTS

Plasma Physics

FIS3021 - ECTS An introduction to Plasma Physics will be given in this curricular unit. Its main goal is to present to the
student the basic properties of plasmas. The student can then apply these fundamental concepts to other
fields of plasma physics such as, thermonuclear fusion and plasma discharges.
This curricular unit (CU) presents the fundamentals of plasma physics, in a step by step methodology. These
issues are presented in a comprehensive and coherent logic sequence. In this curricular unit application
problems and examples are presented, together with the appropriate tools to solve them.

It is also the objectives of this curricular unit that students:
- develop reasoning and acquire skills in autonomous and critical problem solving;
- acquire a continuous work discipline throughout the semester;
- be respectful of ethical values such as mutual respect and honesty.

Instrumentation and Measurement

EL-SD3001 - ECTS

The objective of the Instrumentation and Measurement course is twofold. First, it provides students with a comprehensive understanding of measurement principles and their application in engineering, developing fundamental skills for the proper measurement of electrical signal parameters and physical quantities. Second, it provides students with the necessary tools and knowledge to design and implement effective data acquisition solutions for precision measurement systems.

To some extent, a key goal is to establish measurement quality assessment as a standard practice in the presentation of experimental results. This includes applying uncertainty parameters from operation manuals whenever certified instruments are used. The objective is to instill good measurement practices by systematically quantifying the associated uncertainties, thereby fostering analytical thinking and rigor in the presentation of experimental results. Additionally, a paradigm shift is proposed, i.e. students transition from a user-oriented perspective to that of a designer, where circuit design techniques are introduced for the development and implementation of measurement instruments. This pedagogical approach provides students with invaluable insights into the intrinsic sources of uncertainty introduced by the electronic circuits that make up these instruments, as well as the methods for mitigating them, both during the design phase and in operation.

In short, the idea is to raise awareness of the fact that the result of a measurement is only meaningful when accompanied by its associated uncertainty, and to equip students with the necessary prerequesites for this analysis. Additionally, the course seeks to deepen understanding of the most suitable measurement architectures for each type of measurand, identify sources of uncertainty in these circuits, examine their propagation, and assess their impact on the final result.

Computational Methods in Engineering

FIS3022 - ECTS

Project

EFIS3003 - ECTS
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