COURSE CURRICULUM

This program includes advanced electrical and computer engineering coursework that builds strong analytical and applied technical expertise across several specialized domains. In Random Signal Analysis, students study probability theory, discrete and continuous random variables, and key statistical tools such as characteristic functions and the central limit theorem. The course also covers stationary random processes, including auto-correlation and cross-correlation functions, power spectral density analysis, and the application of these concepts to systems analysis involving random signals, which are essential for understanding noise and uncertainty in real-world engineering systems. In Power Electronics, students explore the design and operation of modern electronic power systems, including switch-mode power supplies, DC-DC and DC-AC converters, motor drive systems, renewable energy inverters such as wind and photovoltaic systems, and the integration of power electronics with utility grids. The course also addresses power semiconductor devices, magnetic component design, and electromagnetic interference, preparing students to work with efficient energy conversion and control systems used in industrial and renewable energy applications. Computer Architecture focuses on the internal structure and behavior of computing systems, including instruction set architecture (ISA), RISC and CISC design principles, memory hierarchy, caching, virtual and physical memory systems, and advanced processor techniques such as pipelining, branch prediction, superscalar execution, and out-of-order processing, along with hands-on microarchitecture-level design projects. Fiber Optic Communications introduces students to modern optical communication systems, covering the fundamentals of lightwave technology, optical fiber properties, lasers and LEDs, signal transmission and loss mechanisms, photodetectors, coupling and connector techniques, and complete transmission link analysis, supported by laboratory experiments that reinforce practical understanding. Overall, these courses provide deep technical knowledge in signal processing, energy systems, computing architecture, and high-speed communications, preparing students for advanced careers in electrical engineering, computer engineering, telecommunications, and related high-technology industries.