Courses

The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times.

• ENG EC 412: Analog Electronics
  Continuation of ENG EC 410. Topics include detailed analysis of differential amplifiers, design and principles of operational amplifier including multistage circuit structure, BJT, MOSFET, CMOS, and BiCMOS design principles, active filters and oscillators, negative and positive feedback, and power devices. Includes lab. 4 cr
• ENG EC 413: Computer Organization
  Introduction to the fundamentals and design of computer systems. Topics covered include computer instruction sets, assembly language programming, arithmetic circuits, CPU design (data path and control, pipelining), performance evaluation, memory devices, memory systems including caching and virtual memory, and I/O. Project using design automation tools. Includes lab. 4 cr.
• ENG EC 414: Introduction to Machine Learning
  Linear regression. Maximum likelihood and maximum a posteriori estimation. Classification techniques, including na?ve Bayes, k-nearest neighbors, logistic regression, and support vector machines. Data visualization and feature extraction, including principal components analysis and linear projections. Clustering. Introduction to neural networks and deep learning. Discussion of other modern analysis methods.
• ENG EC 415: Software Radios
  Signal analysis and transmission: amplitude modulation, angle modulation, pulse-amplitude and pulse-code modulation; amplitude shift-keying, frequency shift-keying, phase-shift keying. Case studies of practical communication systems. Includes lab. 4 cr.
• ENG EC 416: Introduction to Digital Signal Processing
  Introduces techniques of digital signal processing and application to deterministic as well as random signals. Topics include representation of discrete-time random signals, A/D conversion, D/A conversion, frequency domain and z-domain analysis of discrete-time signals and systems, discrete-time feedback systems, difference equation and FFT based realizations of digital filters, design of IIR Butterworth filters, window-based FIR filter design, digital filtering of random signals, FFT-based power spectrum analysis. Includes lab. 4 cr.
• ENG EC 417: Electric Energy Systems: Adapting to Renewable Resources
  This course will present a detailed perspective of electric power systems from generation, transmission, storage, to distribution to end users. Significant emphasis will be placed on methodologies for reliable and efficient transmission and distribution of power over the grid including challenges for adapting to renewable resources such as photovoltaics and wind. Conventional approaches will be presented with emphasis to future technology such as the "smart grid". Analysis of 3-phase power will be presented using numerous examples. Items such as power system stability, security, reliability will be covered. Optimization methods, models, simulation techniques, monitoring and control, grid storage technologies, and micro-grids will also be discussed. Power electronics will be introduced specifically in reference to high voltage circuits. Finally, planning for large numbers of electric vehicles will present new challenges to the effective distribution of power which will be discussed from both centralized and decentralized approaches.
• ENG EC 440: Introduction to Operating Systems
  Operating system concepts and design objectives. Concurrent processes, process synchronization, and deadlocks. Resource management including virtual memory, CPU scheduling, and secondary storage. File structures, input/output, and distributed systems. Case studies of popular operating systems. 4 cr.
• ENG EC 441: Introduction to Computer Networking
  Computer networks, focusing on the Internet. Application protocols (Web, E-mail), basics of socket programming, major Internet protocols (TCP and IP), fundamental aspects of routing and reliable data transfer over networks, medium access protocols, wired and wireless Local Area Networks (LANs) technologies. Hands-on laboratory modules on client-server programming, Internet experiments, and protocol implementation. Includes lab. 4 cr.
• ENG EC 444: Smart and Connected Systems
  Hands-on introductory course to cyber-physical and IoT systems. Microcontrollers: integrated development environments (ISEs), architecture, and I/O interfaces. Hardware interfacing of systems: formal design and specifications, real-time OS, programming, and control. IoT systems: smart phones, wireless personal area networks (WPANs), IP gateways, mobile cloud computing, reliability, security, and privacy. Course culminates with a team project.
• ENG EC 447: Software Design
  Object-oriented software design for desktop applications with a graphical user interface. C# and Microsoft .NET programming assignments. Provides a solid foundation in modern programming for engineering and other applications. 4 cr
• ENG EC 451: Directed Study
  Student may, under the supervision of a faculty member, undertake individual study of a subject relevant to electrical, computer, and systems engineering, if the subject is not covered in a regularly scheduled course. Tangible evidence of achievement must be submitted at the end of the semester. Variable cr.
• ENG EC 455: Electromagnetic Systems I
  Time varying electric and magnetic fields. Maxwell equations. Electromagnetic waves. Propagation, reflection, and transmission. Remote sensing applications. Radio frequency coaxial cables, microwave waveguides, and optical fibers. Microwave sources and resonators. Antennas and radiation. Radio links, radar, and wireless communication systems. Electromagnetic effects in high-speed digital systems. Includes lab. 4 cr
• ENG EC 456: Electromagnetic Systems II
  Electric field, energy, and force. Lorenz force. Dielectric materials. Steady electric currents. Magnetic field, energy, and force. Magnetic materials. Applications of electrostatics, magnetostatics, and electrodynamics. Electromagnetic waves in dielectric and conducting materials. Solution techniques for electromagnetic fields and waves. 4 cr
• ENG EC 463: Senior Design Project I
  Development of the technical, communication, personal, and team skills needed for successful design in electrical and computer engineering. Specifications and standards, information collection, design strategies, modeling, computer-aided design, optimization, system design, failure and reliability, human factors. Oral and written communication of technical information. Team dynamics and ethical issues in design. Design project for a small-scale electrical or computer system. Preparation of detailed proposals for senior design projects in the following semester. Includes lab. 4 cr.
• ENG EC 464: Senior Design Project II
  Continuation of a team project in an area of electrical and computer engineering, as proposed in SC 463. Application of technical, communication, personal, and team skills. Oral and written communication of technical information, including progress reports, technical memos, final report, and oral presentations. Includes lab. 4 cr.
• ENG EC 467: Senior Honors Thesis
  Well-prepared students may choose to do a formal senior thesis under the direct guidance of a departmental faculty member. Students selecting this option must obtain petitioned approval before the beginning of the semester of thesis registration. 4 cr.
• ENG EC 471: Physics of Semiconductor Devices
  This course addresses the theory of semiconductors and semiconductor electronic devices. The section on the theory of semiconductor includes their crystal structure, energy bands, and carrier concentration in thermal equilibrium as well as carrier transport phenomena (drift, diffusion, generation and recombination, tunneling, high field effects, and thermionic emission). The section on electronic devices addresses the theory of p-n junctions and heterojunctions, of Bipolar Junction Transistors (BJT), Thyristors, Metal Oxide Semiconductor (MOS) Capacitors and MOS Field Effect Transistors (MOSFETs). 4 cr
• ENG EC 500: Special Topics in Electrical and Computer Engineering
  Specific prerequisites vary according to topic. Coverage of a specific topic in electrical, computer, or systems engineering. Subject varies from year to year and is generally from an area of current or emerging research.
• ENG EC 501: Dynamic System Theory
  Introduction to analytical concepts and examples of dynamic systems and control. Mathematical description and state space formation of dynamic systems; modeling, controllability, and observability. Eigenvector and transform analysis of linear systems including canonical forms. Performance specifications. State feedback: pole placement and the linear quadratic regulator. Introduction to MIMO design and system identification using computer tools and laboratory experiments. Same as ENG ME 501 and ENG SE 501. Students may not receive credit for both.
• ENG EC 503: Introduction to Learning from Data
  This is an introductory course in statistical learning covering the basic theory, algorithms, and applications. This course will focus on the following major classes of supervised and unsupervised learning problems: classification, regression, density estimation, clustering, and dimensionality reduction. Generative and discriminative data models and associated learning algorithms of parametric and non-parametric varieties will be studied within both frequentist and Bayesian settings in a unified way. A variety of contemporary applications will be explored through homework assignments and a project.

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