Courses

Electrical and Computer Engineering

  • ECE 20100 Linear Circuit Analysis I (3 cr.) P: P or C: MATH 26100 and PHYS 25100 C: ECE 20700 Class 3.  Volt-ampere characteristics for circuit elements; independent and dependent sources; Kirchhoff's laws and circuit equations. Source transformations; Thevenin's and Norton's theorems; superposition. Transient response of resistor capacitor (RC), resistor inductor (RL), and resistor inductor capacitor (RLC) circuits; sinusoidal steady-state and impedance. Instantaneous and average power.
  • ECE 20200 Linear Circuit Analysis II (3 cr.) P: MATH 26600 Class 3.Continuation of ECE 20100. Use of computer-aided design programs. Complex frequency plane, resonance, scaling, and coupled circuits. Two-port network parameters. Laplace transform methods. Use of general loop and nodal equations, matrix formulations.
  • ECE 20400 Introduction to Electrical and Electronic Circuits (4 cr.) P: Physics 25100. Class 3. Lab 1. Students will learn basics of electrical and electronic circuits including introduction to analog and digital electronic circuits. Measurement of electrical signals using meters, probes, and oscilloscopes are covered in the laboratory component of the course. Circuits are designed for minimum hardware with emphasis on understanding analog and digital electronics with practical use of digital and analog microchips. Non-ECE majors who complete this course can continue the digital course sequence offered by the ECE department including microprocessor systems and interfacing, and digital signal processing. No credit will be given for ECE majors.
  • ECE 20700 Electronic Measurement Techniques (1 cr.) P: P or C: ECE 20100 Lab 3. Experimental exercises in the use of laboratory instruments. Voltage, current, impedance, frequency, and waveform measurements. Frequency and transient response. Use of operational amplifiers in instrumentation systems.
  • ECE 20800 Electronic Devices and Design Laboratory (1 cr.) P: ECE 20700 C: ECE 25500 Lab 3. Laboratory experiments in design and measurement with analog devices. Applications include single-stage and multistage bipolar and FET amplifiers, operational amplifier applications, differential amplifiers, and active filters.
  • ECE 21000 Sophomore Seminar (1 cr.) A lecture series on ECE Department curriculum-related topics, electrical and computer engineering systems, skills, and career topics.
  • ECE 25500 Introduction to Electronics Analysis and Design (3 cr.) P: ECE 20100 C: ECE 20800 Class 3. Diode, bipolar transistor, and field effect transistor (FET) circuit models for the design and analysis of electronic circuits. Single-stage and multistage analysis and design. Computer-aided design calculations, amplifier operating point design and frequency response of single and multistage amplifiers. High-frequency and low-frequency designs are emphasized.
  • ECE 26100 Engineering Programming Lab (1 cr.) C: ECE 26300 Introduction to problem solving using software tools ,in particular the C programming language.
  • ECE 26300 Introduction to Computing in Electrical Engineering (3 cr.) C: ECE 26100 An introductory course in computing programming with an emphasis on program decomposition and program structure. The objective of the course is to introduce the student to problem solving using high-level languages. The students are also introduced to number concepts fundamental in electrical engineering. Programming will be in "C" in order to develop a structured approach to problem solving. Problems drawn from the field of electrical engineering will require no prior engineering knowledge.
  • ECE 26400 Advanced C Programming (2 cr.) Class 2. P: basic knowledge of the UNIX operating system and an introductory C programming course. C programming knowledge should include basic syntax, control structures, and file I/O, as well as experience in declaring and using functions. Continuation of a first programming course. Topics include files, structures, pointers, and the proper use of dynamic data structures.
  • ECE 26600 Digital Logic Design (3 cr.)
  • ECE 27000 Digital Logic Design (4 cr.) P: ECE 20700 and knowledge of electrical circuits Class 3, Lab 1. Introduction to logic design, with emphasis on practical design techniques and circuit implementation. Topics include Boolean algebra; theory of logic functions; mapping techniques and function minimization; logic equivalent circuits and symbol transformations; electrical characteristics; propagation delays; signed number notations and arithmetic; binary and decimal arithmetic logic circuits; theory of sequential circuits; timing diagrams; analysis and synthesis of SR-, D-, T-, and JK-based sequential circuits; clock generation circuits; algorithmic state machine method of designing sequential circuits. A series of logic circuit experiments using TTL and CMOS integrated circuits for combination of logic and sequential circuits. A final project is required.
  • ECE 28200 UNIX Programming for Engineers (1 cr.) P: ECE 26300 Class 0, Lab 2. Introduction to the UNIX operating system, including the UNIX file system, as well as UNIX tools and utilities. Introduction to Shell Programming. The emphasis will be on how these tools/utilities are utilized in the Computing Engineering field.
  • ECE 30100 Signals and Systems (3 cr.) P: ECE 20200 and MATH 26600 Class 3. Signal and system representation. Fourier series and transforms, sampling and discrete Fourier transforms. Discrete-time systems, difference equation, Z-transforms. State equations, stability, characteristic values and vectors. Continuous-time systems, time and frequency domain analysis. Continuous systems with sampled inputs.
  • ECE 30200 Probabilistic Methods in Electrical Engineering (3 cr.) P: P or C: ECE 30100 Class 3. An introductory treatment of probability theory, including distribution and density functions, moments, and random variables. Applications of normal and exponential distributions. Estimation of means and variances. Introduction to random processes, correlation functions, spectral density functions, and response of linear systems to random inputs.
  • ECE 30500 Semiconductor Devices (3 cr.) P: ECE 25500, MATH 26600, and PHYS 25100 Class 3. Materials- and phenomena-based examination of devices, emphasizing the how and why of solid-state device operation.
  • ECE 31100 Electric and Magnetic Fields (3 cr.) P: MATH 26600 and PHYS 25100 Class 3. Continued study of vector calculus, electrostatics, and magnetostatics. Maxwell's equations, introduction to electromagnetic waves, transmission lines, and radiation from antennas. Students may not receive credit for both 311 and PHYS 330.
  • ECE 32100 Electromechanical Motion Devices (3 cr.) P: ECE 20200 C: ECE 31100 Class 3. The general theory of electromechanical motion devices relating to electric variables and electromagnetic forces. Basic concepts and operational behavior of DC, induction, brushless DC, and stepper motors used in control applications.
  • ECE 32600 Engineering Project Management (3 cr.) Project management is an important skill that is needed in the private and public sectors as well as specialty businesses. This course explores the challenges facing today's project managers and provides a broad understanding of the project management environment focused on multiple aspects of the project.
  • ECE 32700 Engineering Economics (3 cr.) Engineering economics is the application of economic techniques to the evaluation of design and engineering alternatives. The role of engineering economics is to assess the appropriateness of a given project, estimate its value, and justify it from an engineering standpoint. This course covers the time value of money and other cash-flow concepts, reviews economic practices and techniques used to evaluate and optimize engineering decisions, and discusses the principles of benefit-cost analysis.
  • ECE 34000 Simulation, Modeling, and Identification (3 cr.) P: ECE 20700 and ECE 30100 Class 2, Lab 3. Investigation and evaluation of design problems through simulation of systems described by ordinary differential and difference equations. Development of simulation models from physical parameters and from experimental data. Topics include continuous, discrete, and hybrid models of electrical, mechanical, and biological systems. Laboratory experiences demonstrate concepts studied in text and lecture.
  • ECE 35900 Data Structures (3 cr.) P: ECE 26300 Class 3. An introductory course in computer engineering, with emphasis on data structure and program design using the C language. The classical concepts of structured programming such as stack, queue, linked list, tree, recursion, sorting, and searching. Applications of structured programming in engineering.
  • ECE 36200 Microprocessor Systems and Interfacing (4 cr.) P: ECE 27000 and ECE 26300 Class 3, Lab 3. An introduction to basic computer organizations, microprocessor instruction sets, assembly language programming, the design of various types of digital as well as analog interfaces, and microprocessor system design considerations. Laboratory provides practical hands-on experience with microprocessor software application and interfacing techniques. Design and implementation of a simple three-bus computer; detailed study of a particular microcomputer architecture and instruction set (Motorola 6809); assembly language programming techniques; system control signals and I/O port design and handshaking protocols; interrupt control systems; LSI parallel and serial interfaces; analog data and control interfaces.
  • ECE 36500 Introduction to the Design of Digital Computers (3 cr.) P: ECE 36200 Class 3. The hardware organization of computer systems: instruction set selection, arithmetic/logic unit design, hardwired and microprogrammed control schemes, memory organization, I/O interface design. Computer simulation of digital systems.
  • ECE 36900 Discrete Mathematics for Computer Engineering (3 cr.) P: ECE 27000 Class 3. Introduction to discrete mathematical structure and finite-state machines. Topics include foundation of discrete mathematics, groups and semi-groups, group codes in computer systems, basic model of finite-state machines, state and machine identification experiments, regular expressions, and complexity.
  • ECE 38200 Feedback System Analysis and Design (3 cr.) P: ECE 30100 Class 3. Classical concepts of feedback system analysis and associated compensation techniques. In particular, the root locus, Bode diagram, and Nyquist criterion are used as determinants of stability.
  • ECE 40100 Engineering Ethics and Professionalism (1 cr.) P: Senior Standing Class 1. Some ethical, social, political, legal, and ecological issues that practicing engineers may encounter. (ECE 40100 and ME 40100 are cross-listed courses; students will not get credit for both ECE 40100 and ME 40100.)
  • ECE 40800 Operating Systems and System Programming (3 cr.) Class 3. P: CSCI 36200, ECE 36500. Students will learn to design and construct operating systems for both individual computers and distributed systems, and to apply and utilize operating system functionality to their application development. The course will cover basic concepts and methods for managing processor, main memory, storage, and network resources, including their system functions. Detailed examples are taken from a number of operating systems, emphasizing the techniques used in networked UNIX and embedded Linux.
  • ECE 41000 Introduction to Digital Signal Processing (3 cr.) Class 2, Lab 3. P: ECE 30100. P or C: ECE 36200. An introductory treatment of digital signal processing algorithms and implementation using high-speed digital signal processors. Sampling, architecture, addressing modes and instruction set of digital signal processors, discrete Fourier transform, fast Fourier transform, and digital filtering.
  • ECE 41700 Multimedia Applications (3 cr.) P: ECE 30100 and ECE 36500 Class 3. An introductory treatment of multimedia algorithms and implementation using high-speed multimedia processors. Detailed discussion of architecture, addressing modes and instruction set of multimedia processors, entropy coding, transform coding, speech compression, image compression, and video compression.
  • ECE 42100 Advanced Digital System Design (3 cr.) Class 3. P: ECE 27000, ENGR 19700. Advanced topics in digital design. Boolean logic. Logic optimization, VLSI and ASIC design basics. Design. Simulation. Placement and routing. Logic synthesis. FPGA structure. FPGA implementation. FPGA design flow. Verilog and VHDL coding.
  • ECE 42400 Electromechanical Systems and Applied Mechatronics (3 cr.) P: ECE 30100. Class 3. Design, optimization, and control of electromechanical and mechatronic systems. Comprehensive dynamic analysis, modeling, and simulation of electric machines, power electronics, and sensors. Application of advanced software and hardware in mechatronic systems design and optimization.
  • ECE 43200 Elementary Power Systems Engineering (3 cr.) P: ECE 32100 or senior standing Class; 3, Fundamental concepts of power system analysis, transmission line parameters, basic system models, steady state performance, network calculations, power flow solutions, fault studies, symmetrical components, operating strategies and control.
  • ECE 44000 Transmission of Information (4 cr.) P: ECE 30100 and ECE 30200 Class 3, Lab 3. Analysis and design of analog and digital communication systems. Emphasis on engineering applications of theory to communication system design. The laboratory introduces the use of advanced engineering workstations in the design and testing of communication systems.
  • ECE 46100 Software Engineering (3 cr.) P: ECE 36400 and ECE 36800 Class: 3, Lab: 0, Introduction to software engineering principles with special emphasis on the process, methods, and tools needed to develop and test quality software products and systems.
  • ECE 46300 Introduction to Computer Communication Networks (3 cr.) P: ECE 26400 and ECE 30200 Class: 3, Lab: 0, An introduction to the design and implementation of computer communication networks.  The focus is on the concepts and the fundamental design principles that have contributed to the global Internet's success.  Topics include: digital transmission, switching and multiplexing, protocols, LAN, congestion/flow/error control, routing, addressing, performance evaluation, internetworking (Internet) including TCP/IP, HTTP, etc.  This course will include one project.
  • ECE 46800 Introduction to Compilers and Translation Engineering (3 cr.) P: ECE 35900, ECE 36200 and ECE 36500 Class 3. Design and construction of compilers and other translators. Compilation goals, organization of a translator, grammars and languages, symbol tables, lexical analysis, syntax analysis (parsing), error handling, intermediate and final code generation, assemblers, interpreters, and an introduction to optimization/parallelization. Emphasis on engineering, from scratch, a compiler or interpreter for a small programming language, typically a C or Pascal subset. Projects involve implementation (and documentation) of such a system using C on UNIX.
  • ECE 47100 Embedded Microcontroller, Microprocessor, and DSP-Based Systems (3 cr.) P: ECE 36200 and ECE 26300 Class 3. A structured approach to the development and integration of embedded microcontroller/microprocessor/DSP-based systems. The course provides students with design experience of embedded systems. The course covers the microprocessor selection, the configuration of peripheral components, and the hardware abstraction techniques. The course also covers the C programming techniques for embedded systems and using a fixed point microprocessor for floating point calculations.
  • ECE 48300 Digital Control System Analysis and Design (3 cr.) P: ECE 38200 Class 3. An introduction to real-time computer-controlled systems analysis and design in both frequency domain and state space. Sampling theory and its effect on digital control design. Implementation, application, and industrial practice of digital control using digital signal processors and other microprocessors. Matlab/Simulink and its toolboxes are used. Regular computer and lab assignments; final design project required.
  • ECE 48700 Senior Design I (1 cr.) P: Senior Standing and intent to graduate within 2 semesters. A real-life experience in engineering problem solving in a group setting from identification, planning and execution to professional-quality written and oral presentations. This is the first semester of a two semester course sequence.
  • ECE 48800 Senior Design II (2 cr.) P: Senior Standing and intent to graduate within 1 semester1. A real-life experience in engineering problem solving in a group setting from identification, planning and execution to professional-quality written and oral presentations. This is the second semester of a two semester course sequence.
  • ECE 48900 Introduction to Robotics (3 cr.) P: P or C: ECE 38200 Class 3. Homogeneous transformations; kinematics of manipulator arms; dynamic equations using Newton-Euler and Euler-Lagrange formulations; inverse kinematics; trajectory generation; task planning; manipulator control; robot languages; robot sensing and vision; and industrial applications of robots. Lab experiments and a final project are required.
  • ECE 49100 Engineering Design Project (1-2 cr.) P: senior standing and consent of a faculty sponsor. The student selects an engineering design project and works under the direction of the faculty sponsor. Suitable projects may be from the local industrial, municipal, state, and educational communities. May be repeated for a maximum of 4 credit hours.
  • ECE 49500 Selected Topics in Electrical and Computer Engineering (1-4 cr.) Engineering topics.
  • ECE 49600 Electrical and Computer Engineering Projects (ARR cr.) P: consent of instructor. Hours and credits to be arranged.
  • ECE 51000 Introduction to Biometrics (3 cr.) P: ECE 30200 or graduate standing. Basic concepts of biometrics, biometrics systems, and fundamental theories in biometrics; help student learn how to design and develop a biometric system for multi-level security applications. Topics include introduction to biometrics, face recognition, iris recognition, fingerprint recognition, speaker recognition, other biometrics, multimodal biometrics, issues and concerns in biometrics, and future biometrics.
  • ECE 51500 Software Engineering for Embedded Systems (3 cr.) P: CSCI 36200 or graduate standing. This course teaches the object-oriented software analysis and design for embedded systems. Unified Modeling Language and Shlaer/Mellor methodology will be studied. Projects will be assigned, which lead the students through the information gathering, problem analysis, model design, and model implementation cycles. The hardware/software integration will also be covered.
  • ECE 53200 Computational Methods for Power System Analysis (3 cr.) P: ECE 43200 or Graduate Standing System modeling of three-phase power networks.  Computational methods and problem formulation related to load flow and fault studies, and economic dispatch of electric power systems.  Assigned projects will involve implementing some of the methods and conducting simple studies.
  • ECE 53600 Introduction to Computational Intelligence (3 cr.) Class 3. P: C programming skills; graduate standing or permission of instructor. Basic concepts in theory and paradigms for neural networks, evolutionary computation, and fuzzy logic; algorithms and applications for hybrids of these tools known as computational intelligence are explored. Topics include artificial neural networks, fuzzy systems, and evolutionary computation. Implementations of a number of paradigms are presented, including particle swarm optimization. Applications to various areas such as biomedical engineering and non-linear control are examined.
  • ECE 53700 Multimedia Applications (3 cr.) P: ECE 30100 and ECE 36200, or Graduate Standing Class 2, Lab 2. Treatment of multimedia algorithms and implementation using high-speed multimedia processors. Detailed discussion of entropy coding, transform coding, speech compression, image compression, video compression and architecture, addressing modes, and instruction set of multimedia processors.
  • ECE 53800 Digital Signal Processing I (3 cr.) P: ECE 30100 and ECE 30200 or Graduate Standing Class 3. Theory and algorithms for processing of deterministic and stochastic signals. Topics include discrete signals, systems, transforms, linear filtering, fast Fourier transforms, nonlinear filtering, spectrum estimation, linear prediction, adaptive filtering, and array signal processing.
  • ECE 54400 Digital Communications (3 cr.) P: ECE 44000 or Graduate Standing Class 3. Introduction to digital communication systems and spread spectrum communications. Analog message digitization, signal space representation of digital signals, binary and M-ary signaling methods, detection of binary and M-ary signals, comparison of digital communication systems in terms of signal energy and signal bandwidth requirements. The principal types of spread-spectrum systems are analyzed and compared. Application of spread spectrum to multiple-access systems and to secure communication systems is discussed.
  • ECE 54700 Introduction to Computer Communication Networks (3 cr.) P: ECE 30200 or Graduate Standing Class 3. A qualitative and quantitative study of issues in design, analysis, and operation of computer communication and telecommunication networks as they evolve toward the integrated networks of the future, employing both packet and circuit-switching technology. Packet and circuit switching, the OSI standards for architecture and protocols, elementary queuing theory for performance evaluation, random access techniques, local area networks, reliability and error recovery, and integrated networks.
  • ECE 55400 Electronic Instrumentation and Control Circuits (3 cr.) P: ECE 25500 and ECE 30100 or Graduate Standing Class 3. Analysis and design of special amplifiers, pulse circuits, operational circuits, DC amplifiers, and transducers used in instrumentation, control, and computation.
  • ECE 55900 MOS VLSI Design (3 cr.) P: ECE 30500 and ECE 36500 or Graduate Standing Class 3. Introduction to most aspects of large-scale MOS integrated circuit design, including device fabrication and modeling; useful circuit building blocks; system considerations; and algorithms to accomplish common tasks. Most circuits discussed are treated in detail, with particular attention given those whose regular and/or expandable structures are primary candidates for integration. All circuits are digital and are considered in the context of the silicon-gate MOS enhancement-depletion technology. Homework requires the use of existing IC mask layout software; term projects assigned.
  • ECE 56300 Programming Parallel Machines (3 cr.) P: ECE 26300 and ECE 46300 or Graduate Standing Class 3. Examines how to program parallel processing systems. Various parallel algorithms are presented to demonstrate different techniques for mapping tasks onto parallel machines. Parallel architectures to be considered are: SIMD (synchronous), MIMD (asynchronous), and mixed-mode (SIMD/MIMD hybrid). Machines that represent these classes to be used in the course are the MasPar MP-1 (SIMD); nCUBE 2 (MIMD); and PASM (mixed-mode). There will be three programming projects, one on each machine. The similarities and differences among the machines and their languages will be discussed.
  • ECE 56500 Computer Architecture (3 cr.) P: ECE 36500 or Graduate Standing Class 3. An introduction to problems of designing and analyzing current machine architectures. Major topics include performance and cost analysis, pipeline processing, vector machines and numerical applications, hierarchical memory design, and multiprocessor architectures. A quantitative approach allowing a computer system designer to determine the extent to which a design meets design goals is emphasized.
  • ECE 56600 Microprocessor System Design (3 cr.) P: ECE 36500 or Graduate Standing Class 3. An overview of advanced-architecture CISC microprocessors and their associated support components, with emphasis on incorporating these devices into both general-purpose and embedded board-level designs for multi-microprocessor systems utilizing open-architecture system buses. Survey of 32-bit CISC microprocessor, memory management, floating point support, advanced peripherals, PLD-base “glue logic” design, performance evaluation, IECEE-standard open-architecture system buses, and various pertinent interface and networking standards. Design experience is gained through a comprehensive, semester-long project.
  • ECE 56900 Introduction to Robotic Systems (3 cr.) P: ECE 38200 or Graduate Standing Class 3. Basic components of robotic systems; selection of coordinate frames; homogeneous transformations; solutions to kinematics of manipulator arms; velocity and force/torque relations; dynamic equations using Euler-Lagrange formulation; digital simulation of manipulator motion; motion planning; obstacle avoidance; controller design using torque method; and classical controllers for manipulators. Lab experiments and final project required.
  • ECE 57000 Artificial Intelligence (3 cr.) P: ECE 35900 or Graduate Standing Basic understanding of data structures, including the proper use of arrays, lists, trees, and queues. Understanding of searching and sorting concepts. Basic understanding of probability and statistics, including Bayes rule, statistical tests of significance, and normal distribution.
  • ECE 57400 Software Engineering Methodology (3 cr.) P: ECE 35900 or Graduate Standing Class 3. Life-cycle models, software planning, software analysis, software design including data flow and data structure design, software testing methods, and software documentation. Software design project required.
  • ECE 58000 Optimization Methods for Systems and Control (3 cr.) Class 3. P: consent of instructor or graduate standing. Introduction to optimization theory and methods, with applications in systems and control. Nonlinear unconstrained optimization, linear programming, nonlinear constrained optimization, various algorithms and search methods for optimizations, and their analysis. Examples from various engineering applications are given.
  • ECE 59100 Parallel Processing (3 cr.) P: Consent of Instructor or Graduate Standing The course is comprehensive study of parallel processing techniques, parallel programming and performance tuning Topics covered include: fundamental of parallel, concurrent and distributed processing systems, performance and limitations of these systems, and parallelism paradigms. In addition to these topics the software needs and support for parallel processor systems are covered in details. This includes programming languages, simulation and tracing tools.
  • ECE 59500 Selected Topics in Electrical and Computer Engineering (3 cr.)  
  • ECE 60000 Random Variables and Signals (3 cr.) Class 3. Graduate standing. Engineering applications of probability theory. Problems of events, independence, random variables, distribution and density functions, expectations, and characteristic functions. Dependence, correlation, and regression; multivariate Gaussian distribution. Stochastic processes, stationarity, ergodicity, correlation functions, spectral densities, random inputs to linear systems, Gaussian processes.
  • ECE 60200 Lumped System Theory (3 cr.) Class 3. P: MATH 511 or consent of instructor. An investigation of basic theory and techniques of modern system theory, emphasizing linear state model formulations of continuous- and discrete-time systems in the time and frequency domains. Coverage includes notion of linearity, time invariance, discrete- and continuous-times state models, canonical forms, associated transfer functions and impulse response models, the state transition matrix, the Jordan form, controllability, observability, and stability.
  • ECE 60400 Electromagnetic Field Theory (3 cr.) P: Graduate Standing Class 3. Review of general concepts (Maxwell's equations, materials interaction, boundary conditions, energy flow); statics (Laplace's equation, Poisson's equation); distributed parameter systems (classification of solutions, transmission lines, and waveguides); radiation and antennas (arrays, reciprocity, Huygen's principle); a selected special topic (e.g. magnetostatics, waves in anisotropic media and optical fibers).
  • ECE 60600 Solid State Devices (3 cr.) P: Graduate Standing Class 3. A relatively broad, moderate-depth coverage of semiconductor devices and related topics.  Semiconductor fundamentals required in the operational analysis of solid-state devices; detailed examination of the positive-negative (PN) junction diode and PN junction devices; heterojunction surface devices including Schottky diode, the MOS capicator, and the MOSFET.
  • ECE 60800 Computational Models and Methods (3 cr.) Class 3. Graduate standing . Computation models and techniques for the analysis of algorithm complexity. The design and complexity analysis of recursive and nonrecursive algorithms for searching, sorting, and set operations; graph algorithms; matrix multiplication; polynomial evaluation; FFT calculations; and NP-complete problems.
  • ECE 61000 Energy Conversion (3 cr.) P: Graduate Standing Class 3.Electromechanical energy conversion, reference frame theory, induction machines, wound-rotor synchronous machines, permanent magnet synchronous machines, dc-to-ac conversion, brushless dc motor drives, induction motor drives.
  • ECE 62700 Introduction to Cryptography and Secure Communication (3 cr.) Class 3. P: Graduate standing. This course introduces the basic concepts of cryptography, emphasizing both privacy and integrity. Various cipher systems and cryptographic tools are presented including stream ciphers, block ciphers, public-key ciphers (RSA, El Gamal and others), hash functions, message authentication codes and digital signature systems. Methods used to attack the cipher systems are discussed. As well as how the cryptographic tools are used in today’s communication systems.
  • ECE 63700 Digital Image Processing I (3 cr.) P: ECE 53800 and Graduate Standing Class 3. Introduction to digital image-processing techniques for enhancement, compression, restoration, reconstruction, and analysis. 2-D signals and systems; sampling and scanning; random fields; discrete cosine transform; discrete Karhunen-Loeve transform; grayscale transformations; linear, ranked order, and morphological filters; human vision, printing, and display of images; entropy-based compression; vector quantization; block truncation coding; transform coding; predictive coding; image degradation models; Wiener filter; constrained deconvolution; computed tomography; edge detection; shape representation; and segmentation.
  • ECE 64500 Estimation Theory (3 cr.) P: ECE 60000 Class 3. The basic estimation theory commonly applied in communications and signal-processing systems. Covers basic theory and concepts, linear estimation, and special topics. Applications in the communications sciences considered throughout.
  • ECE 64900 Speech Processing by Computer (3 cr.) P: Graduate Standing Class 3. (knowledge of basic digital signal processing: time and frequency domains, Fourier and Z-transforms, convolution, knowledge of C or FORTRAN on UNIX). Models of the vocal tract; identification and extraction of speech features; speech transmission and compression systems; the recognition of speech and speakers by computers; control of speech synthesizers. Computer project required.
  • ECE 66200 Pattern Recognition and Decision Making Processes (3 cr.) P: Graduate Standing Class 3. Introduction to the basic concepts and various approaches of pattern recognition and decision making process. The topics include various classifier designs, evaluation of classifiability, learning machines, feature extraction and modeling.
  • ECE 66800 Introduction to Artificial Intelligence (3 cr.) P: ECE 60000 or Consent of Instructor Class 3. This course consists of four parts: the first part deals with heuristic search and shows how problems involving search can be solved more efficiently by the use of heuristics; how in some cases it is possible to discover heuristics automatically; knowledge representation and deduction, with emphasis on predicate calculus and associated concepts such as resolution and unification. The last part of the course will deal with the design of a small-scale reasoning framework using the paradigm of logic programming.
  • ECE 68000 Modern Automatic Control (3 cr.) P: ECE 60200 or Consent of Instructor Class 3. Theoretical methods in optimal control theory. Topics include the calculus of variations and the Pontryagin minimum principle with applications to minimum energy problems. Geometric methods will be applied to the solution of minimum time problems. Computational methods, singular problems, observer theory, and sufficient conditions for existence of solutions are also discussed.
  • ECE 68400 Linear Multivariable Control (3 cr.) P: ECE 60200 or equivalent. A state space investigation of multi-input multi-output control design problems from the geometric perspective. The course will detail the theory and design algorithms needed for a solution to the state feedback eigenvalue assignment problem, the disturbance decoupling problem with and without internal stability, the output stabilization problem, and the tracking (or regulator) problem with internal stability.
  • ECE 68500 Introduction to Robust Control (3 cr.) P: ECE 60200 or Equivalent Class 3. Introduction to the analysis and design of robust feedback control systems. Modeling and paradigms for robust control. Robust stability and measures of robust performance. Analysis of and design for robust stability and performance.
  • ECE 69500 Advanced Topics in Electrical & Computer Engineering (VAR cr.)
  • ECE 69600 Advanced Electrical Engineering Projects (VAR cr.) Individual research projects to be approved by the supervising faculty member before registering for the course. An approved written report must be filed before credit is given. (This course cannot be used on a Ph.D. plan of study for the primary area.)
  • ECE 69800 Research (M.S. thesis) (1-6 cr.) Research for M.S. thesis.
  • ENGR 20000 Cooperative Education Practice I (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 20010 Career Enrichment Internship I (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 25000 Cooperative Education Practice II (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 25010 Career Enrichment Internship II (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 30000 Cooperative Education Practice III (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 30010 Career Enrichment Internship III (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 35000 Cooperative Education Practice IV (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.
  • ENGR 40000 Cooperative Education Practice V (1 cr.) Semester of external career related experiences designed to enhance the student's preparedness for entering an initial or second career. *A minimum of 10 weeks and 200 hours are required for credit.

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