Electrical Engineering

The course begins with quantum logic and examines how quantum advantages can be achieved in communication and computational tasks. Examples of quantum algorithms and quantum protocols are provided. Known approaches to implement quantum information processing are explained. Topics include Quantum logic state, dynamics, and measurements and observations, Quantum bit, fundamental theorems, Quantum logic gates and information processing, Quantum protocols, Quantum algorithm 1: the Deutsch algorithm, Entanglement, Quantum protocol 2: Pseudo-telepathy, Quantum computing concepts, Nonlocality.  

This course covers the basic theory and principles of signal and systems, which play important roles in various communications and information systems analysis and control. Topics include linear time-invariant system theory, Fourier analysis, continuous and discrete Fourier transform, time and frequency characterization, sampling theory, Laplace transform, and the Z-transform. After completing this course, the students are expected to be familiar with system models, signal analysis, and filtering techniques that are essential for more advanced communications and information systems. 

In this course, students learn to implement imagen processing algorithms, inside a realistic audio-visual engineering working environment, design real production configurations, and determine the quality of systems and signals by means of specific measurement equipment. This course requires background knowledge in the fundamentals of engineering optics, digital signal processing, television, and digital imagen processing.

This course covers basic electromagnetic theory. The course discusses electrostatics, magnetostatics, electrodyanmics, and electromagnetic waves. Textbook: Elements of Electromagnetics 6th Edition, by G.P. Matthew N. O. Sadiku (Oxford University Press, 2015) 

This course offers a historical and conceptual journey through the evolution of electronics from the first discoveries of static electricity to today’s digital and quantum technologies. It explores how humanity has “tamed the electron”, examining key inventions like the telegraph and microprocessor, as well as the social, economic, and environmental impacts of modern electronics. This course concludes with a focus on the future of computing, artificial intelligence, and quantum devices. 

The course offers a study of methods and strategies to recognize, interpret, analyze, and design electronic circuit amplifiers, feedback systems, oscillators, and power supplies. It reviews concepts related to electronic components and circuits, and the analog processing of the electrical signal. Topics include: single-stage amplifier circuits; multi-stage amplifier circuits; power amplifiers; feedback amplifiers; operational amplifiers; oscillator circuits; linear voltage regulators.

This course focuses on how to understand, model, and control dynamic systems used in engineering and industry. It uses tools such as Laplace transforms, block diagrams, and transfer functions to represent systems and study how systems respond over time and across different frequencies using methods like Bode and Nyquist diagrams. This course explores feedback control, Root Locus analysis, and the design and tuning of PID controllers to connect theory with practical control and automation applications. 

This course introduces the fundamental principles of microcontroller systems and their peripherals. It combines theoretical foundations with practical training in the design and implementation of application software using the C programming language. Emphasis is placed on developing control-oriented applications and understanding the interaction between microcontrollers and their peripheral modules. The course builds skills to design, program, and manage microcontroller-based applications, and apply knowledge across a range of typical use cases. The course concludes with two integrative mini-projects that serve as capstone exercises, synthesizing the concepts acquired and demonstrating abilities to implement effective microcontroller solutions.

This course provides a comprehensive introduction to the fundamental functions of analog, digital, and mixed-signal electronics. It emphasizes the modular design of electronic systems and the role of basic functional blocks in modern applications. Topics include digital functions such as counters, registers, and multiplexers; analog functions such as integration, addition, subtraction, and modulation; and mixed functions including multiplexing, analog-to-digital conversion, and digital-to-analog conversion. It also studies functional and timing diagrams, as well as spectral concepts such as sampling and frequency multiplexing. Practical applications are explored in the context of measurement systems and sound transmission technologies, with a particular focus on telecommunications and mobile devices.

This course focuses on the computer-aided design of semiconductor devices and integrated circuits. In the first part, students learn circuit simulation using the MOS transistor model and explore the impact of mask layout design on circuit performance. The process from simplified Boolean expression to actual circuit layout is taught. In the second part, students learn virtual device characterization using device simulator software to obtain the current-voltage characteristics of a MOS transistor. The third part examines the extraction techniques of transistor parameters such as the threshold voltage. The course requires students to take prerequisites.