Course aims:

Defining the concepts, principles and methods used in the fields: computer programming, high-level and specific languages, CAD techniques for achieving electronic modules, microcontrollers, computer systems architecture, programmable electronic systems, graphics, reconfigurable hardware architecture
Explanation and interpretation of the specific requirements of the hardware and software structures in the fields: computer programming, high-level and specific languages, CAD techniques for making electronic modules, microcontrollers, computer systems architecture, programmable electronic systems,
Identification and optimization of hardware and software solutions of problems related to: industrial, medical, auto electronics, automation, robotics, production of consumer goods
Use of appropriate performance criteria for the evaluation, including by simulation, of hardware and software of dedicated systems or of service activities in which microcontrollers or computing systems of reduced or medium complexity are used
Design of dedicated equipment in the fields of applied electronics, which use: microcontrollers, programmable circuits or computing systems with simple architecture, including related programs

Course Entry Requirements:

Use of the fundamental elements related to the devices, circuits, systems, instrumentation and electronic technology

Course contents:

Courses 1. Introduction. Physical signals 2. Signal classifications. General characteristics of the signals. 3. Analog signals. Periodic signals. Fourier series. Spectrum of periodic signals. Non-periodic signals. 4. Sample signals. Sampling theorem. Reconstitution of the sampled signal. 5. Spectral analysis of periodic signals. Types of developments through Fourier series. Spectral analysis of non-periodic signals. 6. Modulated signals. Definitions and classifications. Modulation with harmonic carrier. 7. Amplitude modulation. Frequency modulation. Phase modulation. The principle of frequency multiplexing. 8. Pulse amplitude modulation. The principle of time multiplexing. Notions of modulation of impulses in position and duration. 9. Signals in discrete time. Periodic signals in discrete time. 10. Fourier series and spectral diagrams. Non-periodic signals in discrete time. Fourier transform of signals in discrete time. 11. Frequency representations. Convolution and correlation of signals in discrete time. Transformation z. Discrete Fourier transform. 12. General systems and associated concepts. Properties of analog and discrete-time systems. 13. System Response and Bode Plots. 14. Transfer function for linear systems. Solving Electric Circuits with 15. Laplace Seminars-laboratories 1. Physical signals. Parameters of physical signals 2. Fourier analysis of non-periodic signals. 3. Convolution and correlation of analog signals 4. Signal analysis with Laplace transform. 5. Sample signals and reconstitution of continuous signals. 6. Modulated signals with harmonic carrier. 7. Synthesis problems.

Teaching methods:

Lecture, conversation, exemplification

Learning outcomes:

• mastered dedicated mathematical models (differential and integral calculus) with applications in electro-technics • understands and interprets, as appropriate, the physical phenomena related to the DC / single phase electrical circuits • clearly distinguishes between the stationary and transient operating modes • Find the unknown (real or complex type) and dimension the simple electrical circuits • Uses and possibly corrects mathematical models for real components

Learning outcomes verification and assessment criteria:

Projects

Recommended reading:

1. Matthew N. O. Sadiku, Warsame H. ALI, Signals and Systems A Primer with MATLAB, CRC Press, 2015,
2. Owen Bishop, Electronics Circuits and Systems, Elsevier, ISBN: 978-0-08-096634-2, 2001,
3. Steven T. Karris, Signals and Systems with MATLAB. Applications, ISBN 0-9709511-8-3, Orchard Publications, 2003,