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Course Catalog Descriptions2000-level classes 3000-level classes 4000-level classes 5000-level classes 6000-level classes 8000-level classes EECS 1000-Level ClassesEECS 1000 ORIENTATION TO EECS [1 hour] Orientation to the facilities and procedures available to the student in the University, college and department. Introduction to the fi elds of electrical engineering and computer science and engineering; group project design experience. EECS 1050 INTRODUCTION TO COMPUTING IN C/C++ [2 hours] Covers the concept and properties of an algorithm, analysis and decomposition of computational problems, use of modern programming practices and application of the C/C++ language to problem solving. EECS 1100 DIGITAL LOGIC DESIGN [4 hours] Number representation and Boolean algebra. Combinational circuit analysis and design. K-map and tabulation methods. Multiplexers, decoders, adders/subtracters and PLD devices. Sequential circuit analysis and design. Registers, counters and recognizers. EECS 1530 INTRODUCTION TO PROGRAMMING [3 hours] Covers the concept and properties of an algorithm, analysis and decomposition of computational problems, use of modern programming practices. Introduction to arrays and classes. Uses the C++ language. EECS 1560 INTRODUCTION TO OBJECT ORIENTED PROGRAMMING [3 hours] Introduces the basics of progranning using the Java language. Covers number types, objects, methods, control structures, vectors, files, and inheritance. Utilizes the Java platform to develop GUI interfaces. EECS 1570 LINEAR DATA STRUCTURES [3 hours] This course looks at stacks, queues, and lists as well as the order of algorithms used to access and modify these structures. In addition recursion, hashing, sorting, and set representation are examined in depth. Prerequisite: EECS 1560 EECS 1580 NONLINEAR DATA STRUCTURES [3 hours] The data structures introduced in EECS 1570 are extended to include trees (binary, balanced, and n-ary), graphs, and advanced sorting techniques. In addition, the C++ language is used as the main vehicle and is introduced in the course. Studentsare expected to have a strong background in Java prior to this course. Prerequisite: EECS 1570 and 1590 EECS 1590 DISCRETE STRUCTURES [3 hours] An introduction to the discrete structures used in computer science to develop software including proof techniques, Boolean logic, graphs, trees, recurrence relations and functions. Prerequisite: PHIL 1010 Top EECS 2000-Level ClassesEECS 2000 EECS PROFESSIONAL DEVELOPMENT [1 hour] Preparation for entry to the professions of electrical engineering and computer science and engineering, including ethics and social responsibilities, employment practices, continuing education and professional registration. One-hour lecture. EECS 2100 COMPUTER ORGANIZATION AND ASSEMBLY LANGUAGE [4 hours] Design of CPU, memory, I/O and arithmetic units. Assembly language programming: symbolic coding, macros and program segmentation. Use of interactive debuggers, utility programs and system I/O facilities. Prerequisite: EECS 1100 and either 1500 or 1530 EECS 2300 ELECTRIC CIRCUITS [4 hours] An introduction to electrical circuit components and laws, including ideal op-amps and transformers, DC circuit analysis, AC circuit analysis, three phase circuits, transient analysis of RL and RC circuits, series and parallel resonance and computeraided circuit analysis. Corequisite: PHYS 2140 EECS 2340 ELECTRIC CIRCUITS FOR NONMAJORS [3 hours] For students not majoring in EECS. An introduction to electrical circuit components and laws, resistive circuit analysis, AC circuit analysis, phasers, three-phase circuits and computer-aided circuit analysis. Prerequisite: PHYS 2140 EECS 2550 OPERATING SYSTEMS AND SYSTEMS PROGRAMMING [3 hours] Examines the external and internal characteristics of computer operating systems and related software. Details of at least one operating system and comparison with other operating systems. An introduction to systems-level programming. Prerequisite: EECS 1530 or 1550 and EECS 2100 Top EECS 3000-Level ClassesEECS 3100 MICROSYSTEMS DESIGN [4 hours] Introduction to microprocessors, memory and I/O interfacing, interrupt structure, serial I/O and DMA operations. Development of microprocessor based digital systems, testing techniques, use of modern development tools for debugging hardware and software. Prerequisite: EECS 2100 and 3400 EECS 3150 DATA COMMUNICATIONS [3 hours] Analog and digital data transmission, transmission media, Modulation techniques. Data encoding, asynchronous and synchronous transmissions, USART, RS232-C, RS-449 standards. Data link confi guration and control, error control, multiplexing and demultiplexing. Prerequisite: EECS 1100 and 3400 Corequisite: MIME 4000 EECS 3200 SIGNALS AND SYSTEMS [4 hours] Signals and system representation. Convolution and impulse response. Fourier series, Fourier transform and Laplace transform. State variable analysis of continuous and discrete systems. Digital computer simulation using MATLAB. Prerequisite: EECS 1530 and 2300, and MATH 2890, 3860 EECS 3300 PROBABILISTIC METHODS IN ENGINEERING [3 hours] Techniques for modeling and analysis of random phenomena in EECS, including communication, control and computer systems. Distribution, density and characteristic functions. Computer generation. Functions of random variables. Prerequisite: EECS 3200 EECS 3400 ELECTRONICS I [4 hours] Large-signal and incremental characteristics of the pn diode, BJT, MOSFET and JFET. Largesignal analysis and computer simulation of devices and digital circuits. Logic gate implementation. Laboratory experiments and projects. Prerequisite: EECS 2300 EECS 3420 ELECTRONICS II [3 hours] Analog transistor, diode and integrated circuit analysis and design. Incremental analysis techniques, frequency response and feedback techniques. Prerequisite: EECS 3200 and 3400 EECS 3440 ELECTRONICS LABORATORY [1 hour] Laboratory experiments and projects in the testing and design of analog and mixed-signal electronic circuits. Prerequisite: EECS 3420. EECS 3450 ELECTRICAL AND ELECTRONIC DEVICES [3 hours] For students not majoring in EECS. An introduction to electrical engineering devices and techniques with an emphasison applications. Topics include solid-state devices, amplifi ers, digital logic circuits, transformers and AC and DC machines. Prerequisite: EECS 2340 EECS 3460 ELECTRICAL ENERGY CONVERSION [3 hours] Traditional and renewable electrical energy sources, principles of electromechanical energy conversion, magnetic circuits and transformers, steady state performance of synchronous machines, dc machines, single-phase and three-phase induction motors. Corequisite: EECS 3700 EECS 3480 ENERGY CONVERSION LABORATORY [1 hour] Laboratory studies of power transformers, synchronous machines, DC machines, single and three phase induction motors. Prerequisite: EECS-3460 EECS 3500 AUTOMATA AND LANGUAGE TRANSLATION SYSTEMS [3 hours] Examines formal models of computing (automata and grammars), computability and undecidability and language translation systems. Prerequisite: EECS 1550 EECS 3550 SOFTWARE ENGINEERING [3 hours] An introduction to the Software Engineering process. Includes: the software lifecycle, user requirements, human-computer interaction, functional specifi cation, software design, software tools, testing and modifi cation. A major term project is assigned. Prerequisite: EECS 1510 or 1550 and ENGL 2950 or 2960 EECS 3700 ELECTROMAGNETICS [4 hours] Analysis of static electric and magnetic fi elds and steady currents, Faraday’s law and timevarying fi elds. Maxwell’s equations, propagation of electromagnetic waves in free space, lossy media and conductors. Transmission line theory. Prerequisite: MATH 3860 or 3820, and PHYS 2140 and EECS 2300. EECS 3940 CO-OP EXPERIENCE [1 hour] Approved co-op work experience. Course may be repeated. Prerequisite: EECS 2100 Top EECS 4000-Level ClassesEECS 4000 SENIOR DESIGN PROJECT [4 hours] Student teams select and research a design project and propose a design which is implemented, tested and evaluated. Progress reports, a written fi nal report and an oral presentation are required. One-hour lecture, one-hour recitation, five-hour lab. Prerequisite: Senior standing and EECS 3100 or 3420 EECS 4110 SIMULATION OF COMPUTER SYSTEMS [4 hours] Workload model, hardware and software monitors. Modeling and simulation of central server model with multiple disks, cyclic models, multiprogrammed interactive virtual memory model, product form solution. Case studies. Prerequisite: EECS 2100 and MIME 4000 EECS 4130 DIGITAL DESIGN [4 hours] The design of digital systems, design methodologies, hardware description language such as VHDL: behavioral-, data flow- and structurallevel description of digital systems. Implementation technologies including PLDs and FPGAs. Prerequisite: EECS 2100 EECS 4140 FAULT-TOLERANT DIGITAL SYSTEMS [3 hours] Faults testing in combinational and sequential circuits. Design techniques for fault tolerance in digital systems. Evaluation techniques. Fault masking and self-checking systems. Prerequisite: EECS 2100 and MIME 4000 EECS 4150 AUTOMOTIVE ELECTRONICS [4 hours] Introduction to automotive electronic subsystems. Design of various electronic control units and in-vehicle networks. Laboratory multidisciplinary team projects in the design of control units, using state-of-the-art microcontrollers. Project presentation and discussion. Prerequisite: EECS 3100, 3200 and 4170 EECS 4160 ADVANCED MICROSYSTEMS DESIGN [4 hours] Design of microcomputers at the system level. Buses for varying types of microcomputers in realtime and parallel processing. Software and hardware requirements for interprocessor communications. IEEE 488 and CAMAC standards buses. Prerequisite: EECS 3100 EECS 4170 REAL-TIME EMBEDDED SYSTEMS DESIGN [3 hours] Programming applications in a real-time environment. C language is used to program various microcontroller functions, including timers, A/D and D/A converters, RS-232 communication and CAN networking. Prerequisite: EECS 3100 EECS 4180 COMPUTER NETWORKS [4 hours] ISO/OSI layer models of computer networks. Review of the fi rst two layers. Discussion of network, transport, session, presentation and application layers. Study of LANs and standards. Internetworking, routers and bridges. Prerequisite: EECS 3150 or 2100 EECS 4200 FEEDBACK CONTROL SYSTEMS [3 hours] Feedback methods for the control of dynamic systems. Topics include modeling, characteristics and performance of feedback systems, stability, root locus and frequency response methods and computer simulation. Prerequisite: EECS 3200 EECS 4220 PROGRAMMABLE LOGIC CONTROLLERS [3 hours] An introduction to programmable logic controllers (PLCs), process control algorithms, interfacing of sensors and other I/O devices, simulation and networking. Prerequisite: EECS 1100 and 3200 EECS 4240 POWER SYSTEMS OPERATION [3 hours] Single line diagrams and per unit calculations, network matrices and Y-bus, load fl ow techniques, large system loss formula, real and reactive power dispatch, power system relays and protection. Prerequisite: EECS 3460 EECS 4250 ROBOTICS [4 hours] The concepts, theory and application of robotics. Topics include: arm geometry, kinematics and transformation matrices, motion kinematics, dynamics of industrial robots, trajectory planning and execution and control robotic systems. Prerequisite: EECS 3200 EECS 4260 CONTROL SYSTEMS DESIGN [3 hours] A general study of computer-aided design of control systems. Topics include: stability, compensation, pole placement, nonlinear systems and digital systems. Prerequisite: EECS 4200 EECS 4290 ELECTRICAL MACHINES MODELING AND CONTROL [3 hours] Coupled rotating coils, primitive machines, machine winding transformations, state space modeling of dc, synchronous and three phase induction machines. Control schemes for dc, synchronous and three phase induction machines. Prerequisite: EECS 3460 EECS 4330 IMAGE ANALYSIS AND COMPUTER VISION [3 hours] Imaging geometry, image filtering, segmentation techniques, image representation and description, stereo vision and depth measurements, texture analysis, dynamic vision and motion analysis, matching and recognition. Prerequisite: EECS 3300 EECS 4340 IMAGING ARCHITECTURES AND HARDWARE [3 hours] Video work station components and display hardware; pyramid, pipeline, cellular logic and artifi cial neural net architectures for vision and image processing; real-time imaging; systolic implementation of image processing algorithms; current advances. Prerequisite: EECS 3100 and 4330 EECS 4360 COMMUNICATION SYSTEMS [3 hours] Fourier transform applications in signal analysis and communication. Signals spectra, fi ltering, AM and FM modulation, noise and optimum receiver, sampling theorem, multiplexing, PCM, introduction to digital modulators and demodulators. Prerequisite: EECS 3200 EECS 4370 INFORMATION THEORY AND CODING [3 hours] Coding concepts, Huffman code, entropy analysis, channel and mutual information, channel capacity and Shannon’s theorem, algebraic coding theory and application to blockcode and cyclic code, introduction to convolutional code. Prerequisite: EECS 3300 EECS 4380 DIGITAL SIGNAL PROCESSING [3 hours] Discrete Fourier Transform (DFT), discrete convolution and correlation, Fast Fourier Transform (FFT) and its applications, design of IIR and FIR digital fi lters, multirate/channel digital systems, decimation and interpolation. Prerequisite: EECS 3200 EECS 4390 WIRELESS AND MOBILE NETWORKS [3 hours] Mobile radio propagation; the cellular concept; multiple radio access; multiple division techniques; channel allocation; mobile communication systems; existing wireless systems; network protocols; AD HOC and sensor networks; wireless LANS and PANS; recent advances. Prerequisite: EECS 3200 and EECS 3300 or MIME 4000 EECS 4400 SOLID STATE ELECTRONICS [3 hours] A comprehensive treatment of the theory and operation of physical electronic devices emphasizing electrical transport in metals and semiconductors and various models of BJT’s and FET’s. Prerequisite: EECS 3400 and PHYS 3070 EECS 4410 ELECTRO-OPTICS [3 hours] Introduction to laser physics, optics, optical waveguides, optical communication systems and electro-optics. Design of light processing and communication systems will be considered with emphasis on optics and optical communication. Prerequisite: EECS 3700 EECS 4420 MICROWAVE ELECTRONICS [3 hours] Analysis and design of active and passive microwave components and systems. Theory and design of transmission lines, solid state and electron beam devices will be considered. Prerequisite: EECS 3700 and 3420 EECS 4430 MICROWAVE LABORATORY [1 hour] Laboratory introduction to microwave and millimeter wave hardware and high frequency measurement techniques. Corequisite: EECS 4420 EECS 4440 ANTENNA THEORY AND DESIGN [3 hours] Introduction to antenna theory and design emphasizing engineering aspects of antenna systems. Dipole, loop and biconical antennas, arrays, broadband and aperture antennas will be considered. Prerequisite: EECS 3700 EECS 4450 ELECTROMAGNETICS LABORATORY [2 hours] A general laboratory that provides experiences in several areas of electromagnetics and includes a special student project. Prerequisite: EECS 3700 EECS 4460 POWER SYSTEM ANALYSIS [3 hours] Power system symmetrical components, fault analysis, transient stability analysis, transmission system modeling, distribution networks. Prerequisite: EECS 3460 EECS 4470 ELECTRONIC DESIGN [3 hours] Principles and techniques of analog active circuit design. Selected design problems are given and circuits using standard parts are designed and laboratory tested. A design notebook is kept. Prerequisite: EECS 3200 and 3420 EECS 4480 ELECTRONIC ENERGY PROCESSING I [3 hours] Electronic power switching circuits. Halfwave and full-wave rectifi cation. Characteristics of power semiconductors. Phase-controlled rectifi ers and inverters. Isolated and non-isolated dc-dc converters. Prerequisite: EECS 3400 and 3460 EECS 4490 ELECTRONIC ENERGY PROCESSING II [3 hours] Resonant dc-dc converters. DC-AC inverters and harmonic analysis. Variable-speed motor drives. Laboratory design and analysis of various electronic energy processing circuits. Prerequisite: EECS 4480 EECS 4500 PROGRAMMING LANGUAGE PARADIGMS [3 hours] Fundamental concepts of modern programming languages. Differences and similarities between procedural, functional, object-oriented and rule-based languages are examined as well as their impact on the programming process. Prerequisite: EECS 1550 or 1580, and EECS 3500 EECS 4510 TRANSLATION SYSTEMS [4 hours] Design of translation systems including compilers and interpreters, grammars and parsing methods, error detection and correction schemes and optimization techniques. Prerequisite: EECS 1550, 2100 and 3500 EECS 4520 ADVANCED SYSTEMS PROGRAMMING [4 hours] Pertinent concepts of systems programming. Topics covered include synchronization, distributed programming models, kernel design, peripheral handling, fi le systems and security history and methods. Prerequisite: EECS 2550 EECS 4530 COMPUTER GRAPHICS I [4 hours] An introduction to typical computer graphics systems and their operation. Interactive techniques will be introduced as well as representations and projections of three-dimensional images. Exercises using graphics equipment are assigned. Prerequisite: EECS 1050, 1530 or 1560 EECS 4540 COMPUTER GRAPHICS II [4 hours] Examines current topics related to realistic and representative 3D computer graphics. Topics include curve and surface geometry, solid modeling, ray tracing, radiosity and real-time computer graphics. Prerequisite: EECS 1550 or 1580, and EECS 4530 EECS 4550 CREATING MULTIMEDIA SOFTWARE [4 hours] An audio-visual experience in the design and production of multimedia products. Investigates computer-human interfaces, performance measurement and analysis, storage/retrieval of data, compression/ decompression techniques. Prerequisite: EECS 1550 1580, and EECS 2550 EECS 4560 DATABASE SYSTEMS I [3 hours] The following topics are covered: relational database modeling, query languages, design issues and implementation issues of databases. An appropriate database language is introduced and used to demonstrate principles. Prerequisite: EECS 1550 or 1580 EECS 4570 DATABASE SYSTEMS II [3 hours] The emphasis of this course is on database recovery techniques, integrity constraints and concurrency control. The similarities and differences between distributed, networked, client/server and object-oriented database systems also are investigated. Prerequisite: EECS 4560 EECS 4610 DIGITAL VLSI DESIGN I: BASIC SUBSYSTEMS [4 hours] CMOS process technologies, CMOS logic families, custom and semi-custom design. Subsystem design of adders, counters and multipliers. System design methods and VLSI design tools. Prerequisite: EECS 3400 EECS 4620 DIGITAL VLSI DESIGN II: MEMORY AND STRUCTURED LOGIC [3 hours] Memory categories, functions, architectures, cells and peripheral circuitry in CMOS/BiCMOS. Overview and technology trends in SRAMs, DRAMs, EPROMs, EEPROMs, FPGAs. Class exercises in selected small system circuit and layout design. Prerequisite: Senior standing or consent of the instructor EECS 4630 PHYSICAL DESIGN OF VLSI CIRCUITS [4 hours] VLSI design process automation and tools, mask level design, compaction, module placement, routing area partitioning, loose routing, channel routing and P/G and clock routing. Prerequisite: EECS 4610 EECS 4710 ADVANCED ELECTROMAGNETICS [3 hours] Advanced topics in electromagnetic wave propagation in metals and dielectric waveguides, free-space propagation in lossless and lossy media and good conductors, antennas and wave scattering will be considered. Prerequisite: EECS 3700 EECS 4740 ARTIFICIAL INTELLIGENCE [3 hours] This course explores the topic of intelligent software agents with an emphasis on hands-on design of adaptive problem-solving agents for environments of increasing complexity ranging from single-agent computer games to complex real-world multi-agent environments. EECS 4750 MACHINE LEARNING [3 hours] This course emphasizes learning algorithms and theory including concept, decision tree, neural network, computational, Bayesian, evolutionary, and reinforcement learning. Prerequisite: MIME 4000, MATH 2890, and EECS 2100 EECS 4810 INTRODUCTION TO NANOTECHNOLOGY [3 hours] An introductory treatment of the theory and operation of physical electronic devices, emphasizing electrical transport semiconductors and MOSFET’s and application to nanotechnology. Prerequisites: EECS 2300 and senior standing EECS 4820 NANOTECHNOLOGY AND MICROFABRICATION [3 hours] A comprehensive treatment of the theory and techniques associated with semiconductor nanotechnology and microfabrication of biomedical devices, sensors, MEMS, and microsystems. Prerequisite: EECS 3420 and senior standing EECS 4980 SPECIAL TOPICS IN EECS [1-4 hours] Pilot offerings of new courses involving emerging topics of interest are introduced using this number. One credit per lecture/recitation hour and/or 2.5 lab hours per week. Prerequisite: Prerequisites vary with the course offering EECS 4990 INDEPENDENT STUDY IN EECS [1-4 hours] Selected topics in electrical engineering or computer science and engineering. The instructor will specify the scope of the investigation and will meet regularly with the student(s). The study is expected to require an average of three hours of student effort per week per credit. Prerequisite: Consent of instructor Top EECS 5000-Level ClassesEECS 5110 SIMULATION OF COMPUTER SYSTEMS [4 hours] Workload model, hardware and software monitors. Modeling and simulation of central server model with multiple disks, cyclic models, multiprogrammed interactive virtual memory model, product form solution. Case studies. Prerequisite: EECS 2100 and MIME 4000 EECS 5130 DIGITAL DESIGN [4 hours] The design of digital systems, design methodologies, hardware description language such as VHDL, behavioral-, dataflow- and structurallevel description of digital systems. Implementation technologies including PLDs and FPGAs. Prerequisite: EECS 2100 EECS 5140 FAULT-TOLERANT DIGITAL SYSTEMS [3 hours] Faults testing in combinational and sequential circuits. Design techniques for fault tolerance in digital systems. Evaluation techniques. Fault masking and self-checking systems. Prerequisite: EECS 1100 EECS 5150 AUTOMOTIVE ELECTRONICS [4 hours] Introduction of automotive electronics and its various subsystems. Sensors and actuators, design of engine control unit, body control unit and vehicle control unit. Display and multiplexing systems. Prerequisite: EECS 3100 and 3200 EECS 5160 ADVANCED MICROCOMPUTER SYSTEMS [4 hours] Design of microcomputers at the system level. Buses for varying types of microcomputers in realtime and parallel processing. Software and hardware requirements for interprocessor communications. IEEE 488 and CAMAC standards buses. Prerequisite: EECS 3100 EECS 5170 REAL-TIME EMBEDDED SYSTEMS DESIGN [3 hours] Programming applications in a real-time environment. Applications programs in a multitasking environment. Examples from process control, robotics, signal analysis and multiwindow software. Prerequisite: EECS 2550 and 3200 and consent of instructor EECS 5180 COMPUTER NETWORKS [4 hours] ISO/OSI layer models of computer networks. Review of the fi rst two layers. Discussion of network, transport, session, presentation and application layers. Study of LANS and standards. Internetworking routers and bridges. EECS 5220 PROGRAMMABLE LOGIC CONTROLLERS [3 hours] Programmable Logic Controllers (PLCs), programming, sensors, process control algorithms, interfacing of sensors and other I/O devices, simulation and networking. Prerequisite: EECS 1100 and 3200 EECS 5240 POWER SYSTEMS OPERATION [3 hours] Single line diagrams and per unit calculations, network matrices and Ybus for systems with uncoupled lines, load fl ow techniques, large system loss formula using Zbus, real and reactive power dispatch programming, power systems relays and protection schemes. Prerequisite: EECS 3460 EECS 5250 ROBOTICS [4 hours] The concepts, theory and application of robotics. Topics include arm geometry, kinematics and transformation matrices, motion kinematics, dynamics of industrial robots, trajectory planning and execution and control of robotic systems. Prerequisite: EECS 3200 EECS 5260 CONTROL SYSTEMS DESIGN [3 hours] A general study of computer-aided design of control systems. Topics include: stability, compensation, pole placement, nonlinear systems and digital systems. Prerequisite: EECS 4200 EECS 5290 ELECTRIC MACHINES MODELING AND CONTROL [3 hours] Coupled rotating coils, Primitive machines, machine winding transformations, State space modeling of dc, synchronous and 3-phase induction machines. Control schemes for dc motors, synchronous machines and three-phase induction motors. Prerequisite: EECS 3460 EECS 5330 IMAGE ANALYSIS AND COMPUTER VISION [3 hours] Imaging geometry, image filtering, segmentation techniques, image representation and description, stereovision and depth measurements, texture analysis, dynamic vision and motion analysis, matching and recognition. Prerequisite: EECS 3200 and 3300 EECS 5340 IMAGING ARCHITECTURES AND HARDWARE [3 hours] Study of the hardware and parallel implementation of various image processing and vision algorithms. Topics include components of a video work station; video display hardware; pyramid, pipeline, cellular logic and artificial neural net architectures for vision and image processing; real-time imaging; systolic implementations of image processing algorithms; current advances. Prerequisite: EECS 3100 and 4330 EECS 5360 COMMUNICATION SYSTEMS [3 hours] Fourier transform applications in signal analysis and communication. Signals spectra, fi ltering, AM and FM modulations, Noise and optimum receiver, Sampling theorem, multiplexing, PCM Introduction to digital modulators and demodulators. Prerequisite: EECS 3300 EECS 5370 INFORMATION THEORY AND CODING [3 hours] Coding concepts, Huffman code, entropy analysis, channel and mutual information, channel capacity and Shannon’s theorems, algebraic coding theory and application to block code and cyclic code, and introduction to convolutional code. Prerequisite: EECS 3300 EECS 5380 DIGITAL SIGNAL PROCESSING [3 hours] Discrete Fourier Transform (DFT), Discrete convolution and correlation, Fast Fourier Transform (FFT) and its applications. Design of IIR and FIR digital filters, multi-rate/channel digital systems, decimation and interpolation. Prerequisite: EECS 3200 EECS 5390 WIRELESS AND MOBILE NETWORKS [3 hours] Mobile radio propagation; traffi c engineering; cellular concept; multiple radio access; multiple division techniques; channel allocation; mobile communication systems; existing wireless systems; network protocols; ad hoc and sensor networks; wireless LANS and PANS; recent advances. Prerequisite: EECS 3200, and EECS 3300 or MIME 4000, or graduate standing EECS 5400 SOLID STATE ELECTRONICS [3 hours] A comprehensive treatment of the theory and operation of physical electronic devices emphasizing electrical transport in metals and semiconductors and various models of BJT’s and FET’s. Prerequisite: EECS 3400 and PHYS 3070 EECS 5410 ELECTRO-OPTICS [3 hours] Laser physics, optics, optical waveguides, optical communication systems and electro-optics. Design of light processing and communication systems will be considered with emphasis on optics and optical communication. Prerequisite: EECS 3700 EECS 5420 MICROWAVE ELECTRONICS [3 hours] Analysis and design of active and passive microwave components and systems. Theory and design of transmission lines, solid state and electron beam devices. Prerequisite: EECS 3700 and 3420 EECS 5440 ANTENNA THEORY AND DESIGN [3 hours] Introduction to antenna theory and design emphasizing engineering aspects of antenna systems. Dipole, loop and biconical antennas, arrays, broadband and aperture antennas will be considered. Prerequisite: EECS 3700 EECS 5460 POWER SYSTEMS ANALYSIS [3 hours] Fault analysis, transient stability analysis, transmission system modeling, distribution networks. Prerequisite: EECS 3460 EECS 5470 ELECTRONIC DESIGN [3 hours] Principles and techniques of analog active circuit design. Selected design problems are given; working circuits using standard parts are designed and laboratory tested. A design notebook is kept. Prerequisite: EECS 3200 and 3420 EECS 5480 ELECTRONIC ENERGY PROCESSING I [3 hours] Basic electronic power switching circuits. Half-wave and full-wave rectifi cation. Characteristics of power semiconductors. Phase-controlled reactifi ers and inverters. Isolated and non-isolated dc-dc converters. Prerequisite: EECS 3400 and 3460 EECS 5490 ELECTRONIC ENERGY PROCESSING II [3 hours] Resonant dc-dc converters. DC-AC inverters and harmonic analysis. Variable-speed motor drives. Laboratory design and analysis of various electronic energy processing circuits. Prerequisite: EECS 5480 EECS 5500 PROGRAMMING LANGUAGE PARADIGMS [3 hours] The course investigates the fundamentals of modern programming languages. Differences and similarities between procedural, functional, objectoriented and rule-based languages are examined along with their impact on the programming process. Prerequisite: EECS 1550 and 2500 EECS 5510 TRANSLATION SYSTEMS [4 hours] The course includes: the design of translation systems including compilers and interpreters, grammars and parsing methods, error detection and correction schemes and optimization techniques. Prerequisite: EECS 1550 and 3500 EECS 5520 ADVANCED SYSTEMS PROGRAMMING [4 hours] This course examines pertinent concepts of systems programming. Topics covered include: synchronization, distributed programming models, kernel design, peripheral handling, fi le systems, and security history and methods. Prerequisite: EECS 2550 EECS 5530 COMPUTER GRAPHICS I [4 hours] An introduction to typical computer graphics systems and their operation. Interactive techniques will be introduced as well as representations and projections of three-dimensional images. Exercises using graphics equipment are assigned. Prerequisite: EECS 1050 or 1500 EECS 5540 COMPUTER GRAPHICS II [4 hours] Examines current topics related to realistic and representative 3D computer graphics. Topics include curve and surface geometry, solid modeling, raytracing, radiosity, and real-time computer graphics. Prerequisite: EECS 1550 and 4530 EECS 5550 CREATING MULTIMEDIA SOFTWARE [4 hours] An audio-visual experience in the design and production of multimedia products. Investigates computer-human interfaces, performance measurement and analysis, storage/retrieval of data and compression/ decompression techniques. Prerequisite: EECS 1550 and 2550 EECS 5560 DATABASE SYSTEMS I [3 hours] The following topics are covered: relational database modeling, query languages, design issues and implementation issued of databases. An appropriate database language is introduced and used to demonstrate principles. Prerequisite: EECS 1550 EECS 5570 DATABASE SYSTEMS II [3 hours] The emphasis of this course is on database recovery techniques, integrity constraints and concurrency control. The similarities and differences between distributed, networked, client/server and object-oriented database systems also are investigated. Prerequisite: EECS 5560 EECS 5610 DIGITAL VLSI DESIGN I: BASIC SUBSYSTEMS [4 hours] CMOS process technologies. CMOS logic families. Custom and semicustom design. Subsystem design; adders, counters, multipliers. System design methods. VLSI design tools. Prerequisite: EECS 3400 EECS 5620 DIGITAL VLSI DESIGN II: MEMORY AND STRUCTURED LOGIC [3 hours] Memory categories, functions, architectures, cells and peripheral circuitry in CMOS/BiCMOS. Overview and technology trends in SRAMs, DRAMs, EPROMs, EEPROMs, FPGAs. Class exercises in selected small system circuit and layout design. Prerequisite: EECS 5610/7610 or BSEE degree and consent of the instructor EECS 5630 PHYSICAL DESIGN OF VLSI CIRCUITS [4 hours] VLSI design process automation and tools. Mask level design. Compaction. Module placement. Routing area partitioning. Loose routing, channel routing, P/G and clock routing. Prerequisite: Graduate standing EECS 5740 ARTIFICIAL INTELLIGENCE [3 hours] This course explores the topic of intelligent software agents with a emphasis on hands-on design of adaptive problem-solving agents for environments of increasing complexity ranging from single-agent computer games to complex real-world multi-agent environments. Prerequisite: Graduate standing EECS 5750 MACHINE LEARNING [3 hours] This course emphasizes learning algorithms and theory including concept, decision tree, neural network, comprtational, Bayesian, evolutionary, and reinforcement learning. Prerequisite: MIME 4000 or equivalent, MATH 2890 or equivalent, and EECS 2100 or equivalent EECS 5920 PROJECTS [1-6 hours] Independent research project with intensive investigation into an area of practical interest to the student and the instructor. Prerequisite: Instructor’s consent EECS 5930 ELECTRICAL ENGINEERING & COMPUTER SCIENCE SEMINAR [1 hour] All graduate students are expected to attend the seminars and to prepare a report summarizing their experiences, questions and the impact of the seminar series. Students will also present their thesis and dissertation results. Prerequisite: Graduate standing Top EECS 6000-Level ClassesEECS 6110 ADVANCED COMPUTER ARCHITECTURE [3 hours] Architectural development in computer systems and scability. Processors and arithmetic algorithms. Memory hierarchy, shared memory and cache architecture. Pipeline, superscaler and vector organization. Prerequisite: EECS 2100 EECS 6120 COMPUTER SYSTEMS PERFORMANCE AND RELIABILITY [4 hours] Relative importance of performance and reliability. Fault-tolerance in computer systems. Techniques for reliability modeling and analysis. Markov and semi-Markov models. Queuing network models of computer systems. Performability modeling and analysis. Prerequisite: EECS 2100 and MIME 4000 EECS 6130 PARALLEL COMPUTING [4 hours] Survey of computer architectures and languages that support parallelism. Analysis of algorithms for inherent parallelism. Issues surrounding the granularity of the parallelism. Mapping of parallel program structures to architectural topologies. Prerequisite: EECS 2100 EECS 6140 LOGIC SYNTHESIS AND OPTIMIZATION [3 hours] Architectural synthesis, scheduling algorithms, resource sharing and binding, multiplelevel combinational logic optimization and sequential logic optimization. Prerequisite: EECS 2100 EECS 6150 ADVANCED COMPUTER NETWORKS [3 hours] High speed LANs and MANs. Performance analysis of Ethernet, token ring, token bus, FDDI, FDDI-II and DQDB protocols. WANS and their routing protocols. Flow control techniques in WANs. Prerequisite: EECS 4180/5180 EECS 6160 B-ISDN AND ATM NETWORKS [3 hours] ATM overview and B-ISDN networks. ATM adaptation layer and ATM LANs. Issues in traffi c management. Admission control and policing. Flow control, priority control and self-learning strategies. Prerequisite: EECS 4180/5180 EECS 6170 PETRI NETS AND SOFTWARE RELIABILITY [3 hours] Petri Net structure, graphs and analysis. Modeling with Petri Nets. Software reliability modeling using Petri Nets and Markov chains. Comparison of software reliability models. Prerequisite: EECS 1550 and MIME 4000 EECS 6200 DIGITAL CONTROL SYSTEMS [3 hours] Analysis and design of digital control systems by classical and state methods. Topics include:stability, pole placement, polynomial manipulation, quadratic optimal control and introduction to digital control system implementation. Prerequisite: EECS 4200 EECS 6210 ADAPTIVE CONTROL SYSTEMS [3 hours] Schemes of adaptive control systems, MIT rule for Model Reference Adaptive Control, self Tuning regulator systems, Recursive Least Squares for system identifi cation, Minimum Variance, PID and other controller design techniques for STR systems. Prerequisite: EECS 6200 EECS 6220 NONLINEAR CONTROL SYSTEMS [3 hours] The multiple input describing function. Random signals in nonlinear systems. The phase plane, equilibrium points, limit cycles and linearization methods. Liapunov stability theorems. Optimum switching systems. Selected applications. Prerequisite: EECS 4200 and 3300 EECS 6230 OPTIMAL CONTROL THEORY [3 hours] Optimization of dynamic systems by the calculus of variations and Pontryagin’s Maximum Principle. Solution of optimal control problems using direct and indirect computational methods. Applications include constrained state and/or control parameters. Prerequisite: EECS 4200 or permission of instructor EECS 6300 RANDOM SIGNALS AND OPTIMAL FILTERS [3 hours] Description and properties of random signals and their processing by optimal fi lters. Correlation and power spectra. GRP. Narrowband noise. Signal detection (matched filter) and estimation (Wiener and Kalman fi lters). Prerequisite: EECS 3200 and 3300 EECS 6310 DIGITAL IMAGE PROCESSING [3 hours] Image digitization, image transforms, image enhancement, spatial and frequency domain filtering, image restoration techniques, inverse fi ltering, least square fi ltering, image interpolation and motion estimation, video fi ltering, superresolution. Prerequisite: EECS 4380 EECS 6320 IMAGE DATA COMPRESSION AND CODING [3 hours] Mathematical preliminaries, lossless compression, Huffman and run-length coding of images, arithmetic coding, bit-place coding; lossy compression, predictive, transform, pyramid coding; vector quantization and subband coding; image compression standards, JPEG, MPEG coding. Prerequisite: EECS 4370 EECS 6340 MODERN COMMUNICATIONS ENGINEERING I [3 hours] Introduction to detection and estimation and applications to the bandpass signals, Bibary and M-ary digital modulation techniques, Error-control convolutional coding, Trellis Coded Modulation (TCM), Spread Spectrum (SS) communication techniques. Prerequisite: EECS 4360 Corequisite: EECS 6300 EECS 6350 MODERN COMMUNICATIONS ENGINEERING II [3 hours] Digital transmission over Gaussian/non- Faussian channels, Satellite systems (GEO and LEO) and multiple accesses, Cellular and satellite communication network, Mobile/wireless Personal communication services (PCS) and its networking. Prerequisite: EECS 6340 EECS 6360 KNOWLEDGE BASED SYSTEMS [3 hours] Knowledge representation, dealing with uncertainty in knowledge-based systems. Machine learning techniques for rule extraction. Prerequisite: EECS 4580 EECS 6370 PATTERN RECOGNITION AND NEURAL NETWORKS [3 hours] Bayes decision theory, parameter estimation and supervised learning, nonparametric techniques, linear discriminant functions, pattern recognition with neural networks, feed-forward networks, Hopfi eld and Kohonen networks, unsupervised learning and clustering. Prerequisite: MATH 4680 EECS 6380 ADVANCED COMPUTATIONAL METHODS [3 hours] MATLAB is used to solve mathematical engineering. Reviews fundamental structural code elements, followed by case study solutions that illustrate MATLAB functionality. Individual/group projects reinforce understanding principles and methodologies. Prerequisite: Graduate standing EECS 6400 ELECTROMAGNETIC FIELDS AND WAVES [3 hours] An advanced study of electrostatic and magnetostatic fi elds and associated boundary-value problems. Time varying fi elds, wave propagation, wave scattering and electromagnetic radiation will be considered. Prerequisite: Consent of instructor EECS 6450 DYNAMIC ANALYSIS OF SWITCHING CONVERTERS [3 hours] Cyclic steady-state analysis of the switching power converter using switching functions. Dynamic modeling of the switching converter as a discrete-time system and as a switching-period-averaged system. Prerequisite: EECS 5490 EECS 6500 COMPUTATION, COMPUTABILITY AND COMPLEXITY [3 hours] Covers: context-free languages and pushdown automata and their relationship with computer language implementation. Turing machines and U-recursive functions are examined. Uncomputability, the halting problem, computational complexity andNPcompleteness are covered. Prerequisite: EECS 3500 EECS 6520 OPERATING SYSTEMS DESIGN [4 hours] This course investigates past and present trends in the design and implementation of operating systems. The unique requirements of real-time, highly reliable and distributed systems are addressed. Prerequisite: EECS 2550 EECS 6530 CONCURRENT PROGRAMMING [3 hours] This course studies theoretical and practical issues in concurrent programming. Topics include: mutual exclusion, the producer-consumer problem, the dining philosophers problem, semaphores, monitors, threads and the Ada model for multitasking. Prerequisite: EECS 2550 EECS 6550 SOFTWARE SPECIFICATION AND DESIGN [3 hours] This course covers the software development steps of specification, requirements analysis and design in depth Computer-human interfaces also are discussed. EECS 6560 TOPICS IN SOFTWARE AND HUMAN ENGINEERING [3 hours] This course investigates issues in software engineering and human aspects of software engineering. Topics user interfaces, programming practices, documentation, programming environments, applications, empirical methods and physical aspects. Prerequisite: EECS 6550/8550 EECS 6600 ANALOG INTEGRATED CIRCUITS [3 hours] Review of SPICE-based device models and analysis techniques. Bias and small signal design techniques in modern, low-voltage CMOS/BiCMOS. Op-amps, comparators and PLLs are emphasized; other topics as time permits. Prerequisite: BSEE degree or consent of the instructor EECS 6620 DIGITAL VLSI CMOS/BICMOS CIRCUIT DESIGN [3 hours] Design styles; static, dynamic, T-gate intensive; optimization of speed and robustness of selected CMOS/BiCMOS examples using SPICE-high fan in/fan out, I/O buffers, other Hi-C loads, sense amps, programming drivers, other examples as time permits. Prerequisite: BSEE degree or consent of the instructor EECS 6640 VLSI CHANNEL ROUTING [4 hours] Wiring models. Lower bounds on routing quakity metrics. Theory of locally optimal braking of cyclic vertical constraints. Genetic, neural and other advanced channel routing algorithms. Prerequisite: EECS 5640 EECS 6660 FIELD PROGRAMMABLE GATE ARRAYS [3 hours] Introduction to FPGA’s. Programming technology. Logic block architectures. Routing architectures. FPGA based VLSI design. Design tools. Prerequisite: EECS 5610/7610 EECS 6810 SOLID STATE ELECTRONICS WITH BIOENGINEERING APPLICATIONS [3 hours] A comprehensive treatment of the theory and operation of physical electronic devices emphasizing electrical transport in metals and semiconductors, various models of BJTs and FETs and applications to biochemical and biomechanical sensing will be considered. Prerequisite: Graduate standing EECS 6820 MICROELECTRONIC AND MICROMECHANICAL FABRICATION [3 hours] A comprehensive treatment of the theory, principles and techniques associated with microfabrication of electronic circuits and biosensors. Prerequisite: Graduate standing EECS 6900 INDEPENDENT RESEARCH [1-6 hours] Selected topics from current EE and CSE research with intensive investigation into recent literature in an area of mutual interest to the student and the instructor. Prerequisite: Instructor’s consent EECS 6960 MASTER’S GRADUATE RESEARCH AND THESIS [1-9 hours] Graduate research towards the completion of a master’s degree. Prerequisite: Instructor’s consent EECS 6980 SPECIAL TOPICS IN ELECTRICAL ENGINEERING & COMPUTER SCIENCE [1-5 hours] Selected topics in the fi eld of electrical engineering and computer science in areas of special interest to the class and the professor. Prerequisite: Consent of instructor EECS 6990 INDEPENDENT STUDY [1-3 hours] In-depth study of a selected topic of mutual interest to the student and the instructor. Top EECS 8000-Level ClassesEECS 8110 ADVANCED COMPUTER ARCHITECTURE [3 hours] Architectural development in computer systems and scability. Processors and arithmetic algorithms. Memory hierarchy, shared memory and cache architecture. Pipeline, superscaler and vector organization. Prerequisite: EECS 2100 EECS 8120 COMPUTER SYSTEMS PERFORMANCE AND RELIABILITY [4 hours] Relative importance of performance and reliability. Fault-tolerance in computer systems. Techniques for reliability modeling and analysis. Markov and semi-Markov models. Queuing network models of computer systems. Performability modeling and analysis. Prerequisite: EECS 2100 and MIME 4000 EECS 8130 PARALLEL COMPUTING [4 hours] Survey of computer architectures and languages that support parallelism. Analysis of algorithms for inherent parallelism. Issues surrounding the granularity of the parallelism. Mapping of parallel program structures to architectural topologies. Prerequisite: EECS 2100 EECS 8140 LOGIC SYNTHESIS AND OPTIMIZATION [3 hours] Architectural synthesis, scheduling algorithms, resource sharing and binding, multiplelevel combinational logic optimization and sequential logic optimization. Prerequisite: EECS 2100 EECS 8150 ADVANCED COMPUTER NETWORKS [3 hours] High speed LANs and MANs. Performance analysis of Ethernet, token ring, token bus, FDDI, FDDI-II and DQDB protocols. WANS and their routing protocols. Flow control techniques in WANs. Prerequisite: EECS 4180/5180 EECS 8160 B-ISDN AND ATM NETWORKS [3 hours] ATM overview and B-ISDN networks. ATM adaptation layer and ATM LANs. Issues in traffi c management. Admission control and policing. Flow control, priority control and self-learning strategies. Prerequisite: EECS 4180/5180 EECS 8170 PETRI NETS AND SOFTWARE RELIABILITY [3 hours] Petri Net structure, graphs and analysis. Modeling with Petri Nets. Software reliability modeling using Petri Nets and Markov chains. Comparison of software reliability models. Prerequisite: EECS 1550 and MIME 4000 EECS 8200 DIGITAL CONTROL SYSTEMS [3 hours] Analysis and design of digital control systems by classical and state methods. Topics include stability, pole placement, polynomial manipulation, quadratic optimal control and introduction to digital control system implementation. Prerequisite: EECS 4200 EECS 8210 ADAPTIVE CONTROL SYSTEMS [3 hours] Schemes of adaptive control systems, MIT rule for model reference adaptive control, selftuning regulator systems, Recursive least squares for system identifi cation, minimum variance, PID and other controller design techniques for STR systems. Prerequisite: EECS 6200 EECS 8220 NONLINEAR CONTROL SYSTEMS [3 hours] The multiple input describing function. Random signals in nonlinear systems. The phase plane, equilibrium points, limit cycles and linearization methods. Liapunov stability theorems. Optimum switching systems. Selected applications. Prerequisite: EECS 4200 and 3300 EECS 8230 OPTIMAL CONTROL THEORY [3 hours] Optimization of dynamic systems by the calculus of variations and Pontryagin’s Maximum Principle. Solution of optimal control problems using direct and indirect computational methods. Applications include constrained state and/or control parameters. Prerequisite: EECS 4200 or permission of instructor EECS 8300 RANDOM SIGNALS AND OPTIMAL FILTERS [3 hours] Description and properties of random signals and their processing by optimal fi lters. Correlation and power spectra. GRP. Narrowband noise. Signal detection (matched filter) and estimation (Wiener and Kalman fi lters). Prerequisite: EECS 3200 and 3300 EECS 8310 DIGITAL IMAGE PROCESSING [3 hours] Image digitization, image transforms, image enhancement, spatial and frequency domain fi ltering, image restoration techniques, inverse fi ltering, least square filtering, image interpolation and motion estimation, video fi ltering, superresolution. Prerequisite: EECS 4380 EECS 8320 IMAGE DATA COMPRESSION AND CODING [3 hours] Mathematical preliminaries, lossless compression, Huffman and run-length coding of images, arithmetic coding, bit-place coding; lossy compression, predictive, transform, pyramid coding; vector quantization and subband coding; image compression standards, JPEG, MPEG coding. Prerequisite: EECS 4370 EECS 8340 MODERN COMMUNICATIONS ENGINEERING I [3 hours] Introduction to detection and estimation and applications to the bandpass signals, Bibary and M-ary digital modulation techniques, Error-control convolutional coding, Trellis Coded Modulation (TCM), Spread Spectrum (SS) communication techniques. Prerequisite: EECS 4360 Corequisite: EECS 6300 EECS 8350 MODERN COMMUNICATIONS ENGINEERING II [3 hours] Digital transmission over Gaussian/non- Faussian channels, Satellite systems (GEO and LEO) and multiple accesses, Cellular and satellite communication network, Mobile/wireless Personal communication services (PCS) and its networking. Prerequisite: EECS 6340 EECS 8360 KNOWLEDGE BASED SYSTEMS [3 hours] Knowledge representation, dealing with uncertainty in knowledge-based systems. Machine learning techniques for rule extraction. Prerequisite: EECS 4580 EECS 8370 PATTERN RECOGNITION AND NEURAL NETWORKS [3 hours] Bayes decision theory, parameter estimation and supervised learning, nonparametric techniques, linear discriminant functions, pattern recognition with neural networks, feed-forward networks, Hopfi eld and Kohonen networks, unsupervised learning and clustering. Prerequisite: MATH 4680 EECS 8400 ELECTROMAGNETIC FIELDS AND WAVES [3 hours] An advanced study of electrostatic and magnetostatic fi elds and associated boundary-value problems. Time-varying fi elds, wave propagation, wave scattering and electromagnetic radiation will be considered. Prerequisite: Consent of instructor EECS 8450 DYNAMIC ANALYSIS OF SWITCHING CONVERTERS [3 hours] Cyclic steady-state analysis of the switching power converter using switching functions. Dynamic modeling of the switching converter as a discrete-time system and as a switching-period-averaged system. Prerequisite: EECS 5490 EECS 8500 COMPUTATION, COMPUTABILITY AND COMPLEXITY [3 hours] Covers: context-free languages and pushdown automata and their relationship with computer language implementation. Turing machines and U-recursive functions are examined. Uncomputability, the halting problem, computational complexity andNPcompleteness are covered. Prerequisite: EECS 3500 EECS 8520 OPERATING SYSTEMS DESIGN [4 hours] This course investigates past and present trends in the design and implementation of operating systems. The unique requirements of real-time, highly reliable and distributed systems are addressed. Prerequisite: EECS 2550 EECS 8530 CONCURRENT PROGRAMMING [3 hours] This course studies theoretical and practical issues in concurrent programming. Topics include mutual exclusion, the producer-consumer problem, the dining philosophers problem, semaphores, monitors, threads and the Ada model for multitasking. Prerequisite: EECS 2550 EECS 8550 SOFTWARE SPECIFICATION AND DESIGN [3 hours] This course covers the software development steps of specification, requirements analysis and design in depth. Computer-human interfaces also are discussed. EECS 8560 TOPICS IN SOFTWARE AND HUMAN ENGINEERING [3 hours] This course investigates issues in software engineering and human aspects of software engineering. Topics user interfaces, programming practices, documentation, programming environments, applications, empirical methods and physical aspects. Prerequisite: EECS 6550/8550 EECS 8600 ANALOG INTEGRATED CIRCUITS [3 hours] Review of SPICE-based device models and analysis techniques. Bias and small signal design techniques in modern, low-voltage CMOS/BiCMOS. Op-amps, comparators and PLLs are emphasized; other topics as time permits. Prerequisite: BSEE degree or consent of the instructor EECS 8620 DIGITAL VLSI CMOS/BICMOS CIRCUIT DESIGN [3 hours] Design styles; static, dynamic, T-gate intensive; optimization of speed and robustness of selected CMOS/BiCMOS examples using SPICE-high fan in/fan out, I/O buffers, other Hi-C loads, sense amps, programming drivers, other examples as time permits. Prerequisite: BSEE degree or consent of the instructor EECS 8640 VLSI CHANNEL ROUTING [4 hours] Wiring models. Lower bounds on routing quakity metrics. Theory of locally optimal braking of cyclic vertical constraints. Genetic, neural and other advanced channel routing algorithms. Prerequisite: EECS 5640 EECS 8660 FIELD PROGRAMMABLE GATE ARRAYS [3 hours] Introduction to FPGA’s. Programming technology. Logic block architectures. Routing architectures. FPGA based VLSI design. Design tools. Prerequisite: EECS 5610/7610 EECS 8810 SOLID STATE ELECTRONICS WITH BIOENGINEERING APPLICATIONS [3 hours] A comprehensive treatment of the theory and operation of physical electronic devices emphasizing electrical transport in metals and semiconductors, various models of BJTs and FETs and applications to biochemical and biomechanical sensing will be considered. Prerequisite: Graduate standing EECS 8820 MICROELECTRONIC AND MICROMECHANICAL FABRICATION [3 hours] A comprehensive treatment of the theory, principles and techniques associated with microfabrication of electronic circuits and biosensors. Prerequisite: Graduate standing EECS 8900 INDEPENDENT RESEARCH [1-6 hours] Selected topics from current EE and CSE research with intensive investigation into recent literature in an area of mutual interest to the student and the instructor. Prerequisite: Instructor’s consent EECS 8960 DISSERTATION [1-15 hours] Graduate research towards completion of a doctoral degree. Prerequisite: Department’s consent EECS 8980 CURRENT TOPICS IN ELECTRICAL ENGINEERING & COMPUTER SCIENCE [1-5 hours] Current topics in the fi eld of electrical engineering and computer science in areas of special interest to the class and the professor. Students will be expected to complete a written project based on a review of the research literature of the area covered in this course. Prerequisite: Consent of instructor EECS 8990 INDEPENDENT STUDY [1-3 hours] In depth study of a selected topic of mutual interest to the student and the instructor. |
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