Electrical and Electronic Engineering Explained: Circuits, Signals, Power Systems and Electronics

Abstract

Electrical and Electronic Engineering Explained: Circuits, Signals, Power Systems and Electronics is a comprehensive, publication-grade Open Educational Resource (OER) designed to bridge fundamental electromagnetic circuit theory with contemporary computation, modern power systems, and edge automation. Serving as the central curricular hub for the Electrical and Electronic Engineering discipline on Prep4Uni.Online, this academic module systematically covers 12 foundational sub-disciplines: Power Systems Engineering, Electronics Engineering, Communication Engineering, Control Systems Engineering, Embedded Systems and Microelectronics, Signal Processing, Renewable Energy and Energy Storage, Quantum Electronics, Instrumentation and Measurement, Robotics and Automation, IoT and Smart Technologies, and Biomedical Electronics. Key Features & Pedagogical Additions:• Theoretical Grounding & Contemporary Paradigms: Bridges classical circuit theorems and differential balance laws with Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNOs), DeepONets for infinite-dimensional continuous field modeling, and Lie-group invariant state estimation (IEKF/UKF).• Systems Engineering Architecture & Trade-Off Analysis: Includes structured multi-variable trade-off evaluations contrasting Wide-Bandgap semiconductors (GaN, SiC) against silicon IGBTs, FIR vs. IIR digital filter latency profiles, dedicated SoC/ASIC compute vs. RTOS microcontrollers, and High-Voltage DC (HVDC) transmission vs. HVAC distribution.• Worked Numerical Engineering Applications: Features detailed, step-by-step mathematical calculations demonstrating RLC series resonance, natural angular frequency derivation, quality factor (Q) evaluation, bandwidth analysis, and reactive voltage magnification limits under dielectric breakdown constraints.• Curricular Assessment & Analytical Inquiries: Provides 29 fully resolved foundational review questions, deep analytical engineering inquiries, and worked numerical problems spanning network theorems, AC power factor correction, operational amplifiers, and Nyquist-Shannon sampling limits.