EEE M.S. Degree Program California State University, Sacramento

Electrical and Electronic Engineering

Riverside BuildingThe engineer has been, and is, a maker of history.
- James Kip Finch

EEE Course Descriptions

EEE 201. Research Methodology. Research methodology, problem formulation and problem solving. Collective and individual study of selected issues and problems relating to fields of study in the Electrical and Electronic Engineering Graduate Program. Orientation to the requirements for Masters Thesis or Project in Electrical Engineering. Prerequisite: Fully classified graduate status. Graded: Credit / No Credit. Units: 1.0

EEE 211. Microwave Engineering. High-frequency passive electronic circuit design, specifically S-parameters, impedance matching, microstrip lines, filters, couplers and antennas. Prerequisite: EEE 161; EEE 108 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 212. Microwave Engineering II. Passive microwave components; power dividers, couplers and hybrids. Microwave filter design, periodic structures, image parameter and insertion loss methods for designing filters. Design of ferromagnetic components, isolators, phase shifters and circulators. Noise in microwave circuits. Graded: Graded Student. Units: 3.0

EEE 213. Microwave Devices and Circuits. Theory and application of electromagnetic radiation at microwave frequencies; study of microwave impedance and power measurement and characteristics of microwave circuit components, and electronic devices. Prerequisite: EEE 162. Graded: Graded Student. Units: 3.0

EEE 214. Computer Aided Design for Microwave Circuits. Introduction to design methodology of the basic building blocks of communication systems. Use of solid state devices in communications and microwave technology. Implementation of transmitter and receiver architectures. Impedance matching, S-parameters and small-signal, large-signal device operation. Design of transmitter and receiver components using a professional software tool. Design and simulations of gain and low noise amplifiers, detectors, mixers, power amplifiers and oscillators. Tradeoffs involved in the design of a complete transmitter and a receiver. Prerequisite: EEE 211 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 215. Lasers. Review of electromagnetic theory. Ray tracing in an optical system, Gaussian beam propagation. Resonant optical cavities, study of excitation and lasing mechanisms in gas and semiconductor lasers. General characteristics and design of CW, Q switched and traveling wave lasers. Prerequisite: EEE 180 and EEE 161 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 221. Machine Vision. Introduces the student to fundamental digital imaging processing concepts and their application to the fields of robotics, automation, and signal processing. Topics include: digital image filters, two dimensional transforms, boundary descriptors, Hough transform, automated visual inspection techniques, vision for robot control, 3-D vision, and hardware architectures to support vision. Graded: Graded Student. Units: 3.0

EEE 222. Electronic Neural Networks. Current neural network architectures and electronic implementation of neural networks are presented. Basics of fuzzy logic is covered. Application software will be used to simulate training. Testing of various neural net architectures. Learning strategies such as back-propagation, Kohonen, Hopfield and Hamming algorithms will be explored. A final project requires the student to design, train and test a neural network for electronic implementation that solves a specific practical problem. Graded: Graded Student. Units: 3.0

EEE 225. Advanced Robot Control. Introduction to robot kinematics and dynamics followed by a comprehensive treatment of robot control. Topics include: independent joint control, multivariable control, force control, feedback linearization, real-time parameter estimation, and model-reference adaptive control. Prerequisite: EEE 184 or equivalent. Graded: Graded Student. Units: 3.0

EEE 230. Analog and Mixed Signal Integrated Circuit Design. Covers core topics and circuits important for analog and mixed-signal integrated circuits. Topics include: device structures and models, single-stage and differential amplifiers, current mirrors and active loads, operational amplifier design, stability and compensation, fully-differential circuits and common-mode feedback, noise in integrated circuits and the impact of IC processes on analog performance. Prerequisite: EEE 109 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 231. Advanced Analog and Mixed Signal Integrated Circuit Design. A companion course to EEE 230, covers additional topics important in analog and mixed-signal integrated circuit design. Topics include traditional issues such as device matching and analog layout techniques, as well as important building blocks such as bandgap references and bias circuits. Also included are current-mode techniques such as high-speed current-mode logic (CML), and an introduction to noise in integrated circuits. Circuit and layout projects are assigned using CAD software. Prerequisite: EEE 230 or consent of the instructor. Graded: Graded Student. Units: 3.0

EEE 232. Key Mixed-Signal Integrated Circuit Building Blocks. Covers key mixed-signal integrated circuit building blocks most often used in modern ICs. Topics covered include data converter fundamentals, comparators, and important circuit architectures for Analog-to-Digital Converters (ADCs), Digital-to-Analog Converters (DACs), and Phase-Locked Loops (PLLs). Prerequisite: EEE 230 or consent of instructor. Graded: Graded Student. Units: 3.0

EEE 234. Digital Integrated Circuit Design. The background and techniques needed to design and layout digital circuits at the transistor level for mixed-signal integrated circuits are covered. Topics include the design, layout and characterization of digital logic gates at the transistor level, typical CMOS process flows, device models and physics, and chip level considerations. Prerequisite: EEE 230 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 235. Mixed-Signal IC Design Laboratory. Methods to develop successful mixed-signal integrated circuits using an industrial design methodology and computer-aided design tools. Proven design techniques presented; hands-on experience gained through each student designing their own integrated circuit. Communications skills developed through periodic presentations, including reviews for the circuit architecture, design and layout. Prerequisite: EEE 230 or consent of the instructor. Graded: Graded Student. Units: 1.0

EEE 236. Advanced Semiconductor Devices. Semiconductor device modeling, including the application of the continuity equation and Poissons equation to abrupt and graded p/n junctions, semiconductor/metal contacts, junction field effect transistors (JFET), metal-oxide-semiconductor transistors (MOSFET), and bipolar junction transistors (BJT). Special topics include compound semiconductor devices and heterostructures. Graded: Graded Student. Units: 3.0

EEE 238. Advanced VLSI Design-For-Test I. Focus on integrated circuit design-for-test-techniques; semiconductor reliablity factors and screening; semiconductor fabrication processes, device physics and related performance limitations; quantifying cost/quality tradeoffs; IC manufacturing flows and high-accuracy parametric test methods. Prerequisite: CPE 151 and CPE 166. Graded: Graded Student. Units: 3.0

EEE 239. Advanced VLSI Design-For-Test II. Advanced topics in VLSI testing and Design-For-Test applications. Memory-specific test methodology and special features of memory designs employed in high volume manufacturing for improved testability, yield, and reliability. VLSI failure modes, their detection and prevention. Application of trim, redundancy, wear-leveling, and error correction. Prerequisite: EEE 238. Graded: Graded Student. Units: 3.0

EEE 241. Linear Systems Analysis. Analyzes linear systems in the state-space. System realization and modeling, solutions of linear systems, stability including the method of Lyapunov, controllability and observability, state feedback and observers for both continuous and discrete-time systems. Familiarity with MATLAB is required. Prerequisite: EEE 180 or equivalent. Graded: Graded Student. Units: 3.0

EEE 242. Statistical Signal Processing. Introduces the student to modern statistical approaches for solving electronic system noise problems. A few of the topics covered are: Stochastic processes, Wiener and Kalman filters, linear prediction, lattice predictors and singular-value decomposition. Graded: Graded Student. Units: 3.0

EEE 243. Applied Stochastic Processes. Introduction to sequence of random variables and multivariable distributions; models of stochastic processes; stationary stochastic processes and their applications; Markov processes, Markov chains, continuous Markov chains; renewal processes; birth-death processes; time-series applications in stochastic processes in filtering, reliability and forecasting, prediction and control. Prerequisite: ENGR 120. Graded: Graded Student. Units: 3.0

EEE 244. Electrical Engineering Computational Methods and Applications. Computational methods for solving problems in engineering analysis. Topics include variational methods, finite-difference analysis, optimization methods, and matrix methods. Focuses predominantly on applications of the methods, and students are required to solve real-world, engineering problems on the computer. Prerequisite: EEE 180. Graded: Graded Student. Units: 3.0

EEE 245. Advanced Digital Signal Processing. Advanced signal processing topics include: multirate signal processing, adaptive filter design and analysis, spatial filtering and the application of FIR filter theory to beamforming. Applications of digital signal processing in communication systems, radar systems, and imaging systems are covered. Hardware and software topics, including current products and the incorporation of VLSI are included. Lecture. Prerequisite: EEE 174, EEE 181 or equivalent. Graded: Graded Student. Units: 3.0

EEE 246. Advanced Digital Control. Review of digital control methods using transform techniques. State-variable representation and design of digital control systems, state-space compensators and tracking systems, polynomial equations approach, LQR and LQG discrete-time control and identification, and introduction to adaptive self-turning regulators. Prerequisite: EEE 241. Graded: Graded Student. Units: 3.0

EEE 249. Advanced Topics in Control and Systems. Topics from recent advances in control, systems and robotics control selected from IEEE Journals and related professional publications. May be taken twice for credit. Graded: Graded Student. Units: 3.0

EEE 250. Advanced Analysis of Faulted Power Systems. Computation of phase and sequence impedances for transmission lines, machines, and transformers; sequence capacitance of transmission lines; applications of symmetrical components; changes in symmetry; analysis of simultaneous faults by two-port network theory and matrix transformations; analytical simplification for shunt and series faults; solution of the generalized fault diagrams; computer solution methods using the admittance and impedance matrices. Prerequisite: EEE 141 or equivalent. Graded: Graded Student. Units: 3.0

EEE 251. Power System Economics and Dispatch. Study of a number of engineering and economic matters involved in planning, operating, and controlling power generation and transmission systems in electric utilities. Effects of hydro and nuclear plants on system economics. Economic and environmental constraints. Theoretical developments and computer methods in determining economic operation of interconnected power systems with emphasis on digital computers. Prerequisite: EEE 141 or equivalent. Graded: Graded Student. Units: 3.0

EEE 252. Power System Reliability and Planning. Power system economics, generation, transmission and distribution reliability. Production costing and generation planning, transmission planning. Prerequisite: EEE 142 or equivalent. Graded: Graded Student. Units: 3.0

EEE 253. Control and Stability of Power Systems. The fundamental concepts of control and stability in power systems. Topics include: power systems dynamics and linearized models, small and large disturbances, voltage and frequency stability. Introduction to power systems dynamic simulation for stability studies using CAD tools. Prerequisite: EEE graduate standing. Graded: Graded Student. Units: 3.0

EEE 254. Large Interconnected Power Systems. Computer control, optimization and organization of large power systems. Loan and frequency control, voltage control, large load flow and contingency studies. Introduction to state estimation and load forecasting. Prerequisite: EEE 142. Graded: Graded Student. Units: 3.0

EEE 255. Future Power Systems and Smart Grids. Future power systems from component and system perspectives. Smart grids, micro-grids, and interactive power systems using renewable resources and energy storage elements. National standards for certification of distributed generation involving machine-based and inverter-based technologies. Essential elements of advanced sensing, communications and information technology and their roles in adaptive automation, control, protection, and security. Prerequisite: EEE 141, EEE 146, EEE 180, and EEE 250 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 256. Advanced Power Systems Protection. Advanced concepts and schemes used in power system protection including the various protective schemes used for transmission lines, transformers, machines, and other elements of a large interconnected power system. Concepts in digital and microprocessor based relay design and analysis of typical protection subsystems, in conjunction with the protection of the power system as a whole. Prerequisite: EEE 141; EEE 145 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 259. Advanced Topics in Power Systems. Topics from recent advances in Electrical Power Engineering selected from IEEE Journal on "Power Systems" and "Power Systems Delivery." May be taken twice for credit. Prerequisite: EEE 142. Graded: Graded Student. Units: 3.0

EEE 260. Statistical Theory of Communication. Review of Fourier analysis and theory of probability, random processes, optimum filtering, performance of analog and digital communication systems in the presence of noise, system optimization. Prerequisite: EEE 185. Graded: Graded Student. Units: 3.0

EEE 261. Information Theory, Coding, and Detection. Signal space concepts, optimum M-ary communication systems, MAP estimation of continuous waveform parameters, information theory, coding. Prerequisite: EEE 185. Graded: Graded Student. Units: 3.0

EEE 262. Wireless Communications Systems. Wireless communication techniques, systems and standards. Topics include cellular systems, RF transmission and analog/digital modulation techniques. Modern techniques such as multiple access and spread spectrum systems. Channel coding and diversity will also be included. Prerequisite: EEE 185 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 264. Advanced Topics in Wireless Communications. Advanced theoretical and practical aspects of modern wireless communications. Specific topics include: advanced cellular concepts, modern small-scale and large-scale propagation models, complex equalization and diversity system design, 3G (third generation) wireless networks, Bluetooth and Personal Area Networks (PANs), GPRS (General Packet Radio Service) and wireless measurement techniques. Prerequisite: EEE 262 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 265. Optoelectronic Engineering. Generation, propagation and detection of light. Fresnel equations, Snell's law, diffraction, polarization, and interference. Operating principles of LEDs, lasers, photodiodes, optical fibers, photovoltaic devices. Introduction to optical communications systems and optical instrumentation. Note: EEE 265 and EEE 165 may not be both taken for graduate credit. Prerequisite: Graduate standing or instructor permission. Graded: Graded Student. Units: 4.0

EEE 267. Fiber Optic Communications. Fundamentals of modern lightwave communication systems, sources detectors and optical fibers. Study of dispersion in Step Index, Graded Index and Single Mode Optical Fibers. Intensity Modulated Direct Detection systems (IMDD) and Coherent Fiber Optic Systems (COFOCS). Performance evaluation and design considerations. Wavelength division multiplexing, Local Area Networks, optical amplifiers and photonic switching. Prerequisite: EEE 185 or instructor permission. Graded: Graded Student. Units: 3.0

EEE 270. Advanced Topics in Logic Design. Synchronous and asynchronous state machines. Timing issues in high-speed digital design. Design of a complex system using VHDL and Verilog Hardware Description Languages in a CAD environment. Automation toolsets to synthesize projects containing a hierarchy of modules into Field Programmable Gate Arrays (FPGAs). Simulations using CAD tools to verify the design before implementation on rapid prototyping boards in the lab. Lecture 3 hours; laboratory 3 hours. Prerequisite: EEE Graduate Student Standing. Graded: Graded Student. Units: 4.0

EEE 272. High Speed Digital System Design. Theoretical topics and practical applications relating to high speed digital systems. Review of basic transmission line theory, crosstalk, impact of PCB traces, vias, and connectors on signal integrity, return current paths, simultaneous switching noise, high frequency power delivery, high speed timing budgets, high speed bus design methodologies, radiated emissions, and system noise. Prerequisite: EEE 161, fully classified graduate standing and instructor permission. Graded: Graded Student. Units: 3.0

EEE 273. Hierarchical Digital Design Methodology. Hierarchical digital design course that includes: State machine design, Programmable Logic Devices, digital simulation techniques, digital interface, design with ASIC (Application Specific Integrated Circuits), programmable Gate Arrays, and designing with Gas high speed logic devices. Problems with EMI, RFI and EMC will be presented along with design guidelines. Lecture three hours. Prerequisite: EEE 64 or equivalent. Cross Listed: CSC 273; only one may be counted for credit. Graded: Graded Student. Units: 3.0

EEE 274. Advanced Timing Analysis. Timing analysis of Application Specific Integrated Circuit (ASIC) designs: Topics include ASIC design methodology, static timing analysis, timing design constraints, design reports, clock timing issues, timing exceptions, operating conditions, hierarchical analysis, analyzing designs with asynchronous logic, performance measurement and power issues. Prerequisite: EEE 273, CSC 273, CPE 273 or instructor permission. Cross-listed: CPE 274; only one may be counted for credit. Graded: Graded Student. Units: 3.0

EEE 280. Advanced Computer Architecture. Introduces computer classification schemes, structures of uni- and multi-processor systems, parallelism in uniprocessor systems, design and performance analysis of pipelined and array processors; survey and analysis of interconnection networks and parallel memory organizations; programming issues of multiprocessor systems; and fault tolerant computing and design for testability. Prerequisite: CSC 205 or instructor permission. Cross Listed: CSC 280; only one may be counted for credit. Graded: Graded Student. Units: 3.0

EEE 285. Micro-Computer System Design I. Focuses on: design of the microprocessor based computer system, study of bus structures, interrupt schemes, memory interfacing, timing, bus arbitration, system architecture, data communications, introduction to multiprocessor systems, and software development. Prerequisite: EEE 174 or CPE 185. Graded: Graded Student. Units: 3.0

EEE 286. Microcomputer System Design II. Includes PCI and PCI express bus specifications/architecture, PCI bridges transaction ordering, PCI express transactions and handshaking protocols, electromagnetic interference, methods of eliminating interference, shielding grounding, balancing, filtering, isolation, separation, orientation, cancellation techniques and cable design. Involves design projects and research presentations on PCI and PCI Express Bridge. Prerequisite: EEE 285 of CPE 186. Graded: Graded Student. Units: 3.0

EEE 296T. Digital Speech Processing. The objective of this course is to cover the digital processing of speech signals. Topics include speech production and perception, speech processing in the time frequency domains. Short-time energy and Short-time Fourier analysis, homomorphic and linear predictive coding methods. Also covered are speech coding, basic introduction of text-to-speech synthesis and speech recognition. Prerequisite: EEE 181 or instructor permission. Cross listed: CPE 296T. Graded: Graded Student. Units: 3.0

EEE 299. Special Problems. Open to qualified students who wish to pursue problems of their own choice. Projects must have approval and supervision of a faculty advisor. Prerequisite: Instructor permission. Graded: Graded Student. Units: 1.0 - 3.0.

EEE 500. Culminating Experience. Completion of a thesis, project or comprehensive examination. Credit given upon successful completion of one of the following plans: Plan A: Master's Thesis, 5 units; Plan B: Master's Project, 2 units; or Plan C: Comprehensive Examination. Prerequisite: Advanced to candidacy and permission of the graduate coordinator, and GWAR certification before Fall 09, WPJ score of 70+, or at least a C- in ENGL 109 M/W. Graded: Thesis in Progress. Units: 1.0 - 6.0.