Electrical Engineering

This course provides the basic tools required for understanding linear systems, and the effect that such systems have on deterministic signals. The course covers linear time-invariant systems in terms of input-output relationships, using both time and frequency domain methods and includes concepts related to signal representation, linear convolution, Fourier analysis, sampling of continuous-time signals, and Laplace transforms.

This course covers the mathematical fundamentals of probability theory and complex variables which are necessary in the study of integrated circuits, communications, communication networks, control systems, signal processing, energy and new media. There is a strong emphasis on the application of these concepts to electrical and computer engineering problems, such as the Gaussian distribution in communications, random variable distributions for system reliability, complex random variables. This course requires students to take prerequisites.

This course introduces the fundamental concept of carriers, operating principles of PN diodes and MOSFETs. Topics include IV characteristics in different operating regions and their impact on the performance of logic gate, the foundational concepts of inverters and analyze their performance in terms of power and delay trade-off. The course introduces logic synthesis and the fundamental timing analysis of logic gates. Besides the static CMOS logic, students examine pass logics or transmission gates logics.

In this course, students examine the representation of continuous-time and discrete-time signals; their frequency characteristics and Fourier spectrum; representation and characteristics of linear time-invariant systems in both time and frequency domains; and the principles of sampling a continuous-time signal to yield a discrete-time one.

This course examines the fundamentals of photonic technologies, and how these technologies are applied to and influence daily life. Topics include how photonics contributes to the fundamental platform for nanotechnology, green energy, home entertainment, data storage, sensing, imaging, biomedical healthcare, and modern optical communications. This course is intended for students with various engineering backgrounds (e.g. electrical, electronic, chemical, biological, mechanical, civil, aerospace, etc.) to learn the impact of photonics in fields ranging from nanotechnology to communications at a fundamental level rather than a mathematical-based formulated course. 

This course develops the understanding of Computer Networks and the Internet: Internet, network edge, network core, network performance metrics, protocol layers and service models, LAN topology, Physical media, OSI reference model and TCP/IP reference model, network standardization, computer network attacks and prevention, history of computer networking and the Internet. Application and Transport Layers: Principle of network applications, socket programming, transport layer services, multiplexing/demultiplexing, connectionless transport, connection-oriented transport (TCP), TCP congestion control and performance issues. Network Layer: Network layer design issues, forwarding and routing, virtual circuit and datagram networks, router architecture, Internet protocol, routing algorithms, routing the Internet, integrated and differentiated services. Data Link Layer: Data link design issues, error detection and correction, multiple access links and protocols, switched local area networks, IEEE 802 family, link virtualization, MPLS, data center networking. Physical Layer: Baseband systems, formatting textual data, formatting analogue information, sources of corruption, pulse code modulation, quantization, baseband modulation and demodulation/detection, inter-symbol interference, equalization, bandpass modulation and demodulation/detection amplitude. Emerging Communication Networks: Fundamentals of mobile networks, fundamentals of smart grid communication networks.

This fundamental course examines signals and systems. Topics include the relationship between signals and systems, time and frequency domain representations, Fourier and Laplace transforms, spectrum of a signal, frequency response of systems (Bode diagrams), sampling theorem, linear time invariant systems, convolution, transfer functions, stability of feedback systems, modulation and filters. The course requires students to take a prerequisite.

This course serves as a foundation course on Semiconductors. It covers a broad range of fundamental concepts in semiconductors such as basics of semiconductors and their properties, semiconductor in equilibrium/non- equilibrium, carrier transport phenomena, and operating principles of a semiconductor diode, metal-semiconductor contacts, and MOSFET.

This course provides research training for exchange students. Students work on a research project under the guidance of assigned faculty members. Through a full-time commitment, students improve their research skills by participating in the different phases of research, including development of research plans, proposals, data analysis, and presentation of research results. A pass/no pass grade is assigned based a progress report, self-evaluation, midterm report, presentation, and final report.