Electrical Engineering

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.

This course examines selected aspects of computational intelligence methods in-depth and students develop and test intelligent automation systems. Topics include how computational intelligence methods like artificial neural networks, fuzzy systems, deep learning algorithms and computer vision have been extensively applied in the design of intelligent control and automation systems such as autonomous vehicles, visual inspection of industrial products, automated analysis and screening of volumes of medical images. 

This course furthers the fundamental mathematical knowledge and skills that are necessary in engineering. Topics include complex numbers, vectors, matrices, limits and continuity of functions, derivatives and integration and their applications, multivariable calculus, partial derivatives, ordinary differential equations, double integrals in polar coordinates, dot product, and cross product. The course requires students to take prerequisites.

This course focuses on the fundamental principles of circuit theorems and circuit elements, DC/AC and three-phase circuits, transient and steady-state responses, circuit analysis using Laplace transforms. Students learn various techniques ('tools') to analyze the operation of real circuits with a focus on the study of the behavior of the circuit, not the creation of circuits, i.e., the engineering design of the circuit. Topics include capacitors and inductors, Fourier series, Laplace transform, and sinusoids and phasors. 

This course covers working principles and models of basic circuit components such as resistor, capacitor, inductor, diode, and transistor. Students learn to analyze the complex electric circuit problems composed of multiple circuit components using abstractions and various mathematical methods and gain an understanding of the working principles of various logic, memory, and amplifier circuits. The course provides students the ability to understand/modify/write LabView code that can be used to test electric circuits. Topics include Network analysis, Node voltage, Mesh current, Superposition, Impedance, RLC circuit, Diode, MOSFET, Amplifier, Logic and memory devices, Bipolar junction transistor (BJT), BJT small signal model, Lab work via LabView.