Electrical Engineering

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. 

This course provides general knowledge in radio frequency applications, especially those which are common in radio communications. The fundamentals are introduced without penetrating the electronics or design details. The different parts are treated as functional blocks defined by their physical properties. This gives a basic understanding of the radio receiver or the cellular phone but also the requirements put on the used circuits. Thus, this is a compulsory course for those who later want to specialize as radio frequency designers.

This course covers an overview of solid-state microanalysis methods, including elastic and inelastic scattering, identification of phases by morphology, chemical composition, electron diffraction, and microscopy. Principles and functions of different types of microscopes for materials analysis as well as spectroscopy for elemental analysis, analysis of spectra are also reviewed. Methods for surface analysis: Atomic force microscopy, scanning tunnelling microscopy, LEED, X-ray photoelectron spectroscopy (XPS) are covered.

This course introduces the fundamental properties and characteristics of solid-state materials and structures used in modern semiconductor devices and integrated circuit (IC) technologies. 

Topics include Solid-State Electronics and applications, Crystal structure of solids, Introduction to quantum mechanics, Introduction to the quantum theory of solids, Semiconductor in equilibrium, Carrier transport phenomena, Excess carriers in semiconductors, The pn junction. 

The course deals with time discrete signals and systems. Items such as the Fourier Transform, the Discrete Fourier Transform (DFT) and the z-transformed are treated in the course as well as some basic structures for implementation of digital filters. Also, system function and frequency functions are introduced as well as digital filters. Digital processing of analogue signals using A/D and D/A conversion is studied. In the laboratory work, practical applications of digital signal processing such as speech signals processing and biomedical signals processing are treated. Also, the course includes basic filter design using Matlab and digital signal processors (DSP).