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College of Engineering and Applied Science

Computer Science

C S 100-3. Computer Literacy.

The role of computers in society with an introduction to programming in basic. The student is introduced to the concepts and operations of a microcomputer including several typical software environments such as word processing, spread sheet accounting, and database systems. The history and impact of computing in society is covered. This is the most elementary course offered by the computer science department. This course is not for CS or engineering majors. Prer., High school algebra.

C S 103-1. Introduction to Microsoft Word.

Introduction to word processing and the specifics of using the Microsoft Word for Windows system. Students will learn to create, format, and edit documents using Word.

C S 104-1. Introduction to Microsoft Excel.

Introduction to spreadsheets and the specifics of using the Microsoft Excel for Windows system. Students will learn to create, edit, and print spreadsheets using Excel.

C S 105-3. Introduction to Programming with FORTRAN for Non-majors.

An introductory course in FORTRAN programming. Topics include top-down analysis of problems, structured programming, data storage, control statements, loops and subprograms. Programming assignments are oriented more toward scientific applications. This course is not for computer science majors. Prer., High School algebra.

C S 106-3. Introduction to Programming with C for Non-majors.

An introductory course in C programming. Topics include top-down analysis of problems, structured programming, data storage, control statements, loops and subprograms. This course is not for computer science majors. Prer., High School algebra.

C S 107-3. Introduction to Programming in Visual BASIC for Non-Majors.

Introduction to using visual basic to design and implement programs that interface with their users through Microsoft Windows. Prer., High school algebra.

C S 115-3. Principles of Computer Science.

Introduction to programming with emphasis on computer science concepts. Develops methods for computer problem solving. Develops proficiency for programming in a modern programming language, and introduces the concepts of abstraction in problem solving. Includes basic concepts of computer systems and environments including debuggers, editors, and file systems. Prer., High school algebra and familiarity with computer concepts including file operations and text editing.

C S 145-3. Data Structures and Algorithms.

Concepts of data type, data abstraction, and data structure. Internal representations of fundamental data types. Linear data structures: stack, queue. Linked data structures and dynamic data types. Search table data abstraction, linear search in arrays and lists, binary search in arrays and trees. Binary trees, non-binary trees, binary search trees. Prer., C S 115 or equivalent.

C S 201-1 to 3. Topics in Computer Science.

Content will vary to reflect the areas of current interest in computer science. As the courses continually change, students may take the course several times for elective credit. Prer., Consent of instructor.

C S 202-1 to 3. Topics in Computer Science.

C S 203-1 to 3. Topics in Computer Science.

C S 205-1 to 3. Topics in Computer Science.

C S 206-1 to 3. Topics in Computer Science.

C S 216-3. Computer Organization and Assembly Language Programming.

Provides an introduction to the concepts of computer architecture, functional logic, design and computer arithmetic. It presents material on the mechanics of information transfer and control within a computer system. Also included are symbolic programming techniques, implementing high level control structures, addressing modes and their relation to arrays, subprograms, parameters, linkage to high level languages and the assembly process. Prer., C S 145.

C S 301-1 to 3. Selected Topics in Computer Science.

The content of these courses will vary from time to time and reflect the areas of current interest in Computer Science. As the courses continually change, students may take the course several times for technical elective credit. Prer., Instructor consent.

C S 302-1 to 3. Selected Topics in Computer Science.

C S 303-1 to 3. Selected Topics in Computer Science.

C S 304-1 to 3. Selected Topics in Computer Science.

C S 305-1. Social and Ethical Implications of Computing.

This class will discuss selected topics in ethical, social, political, legal and economic aspects of the application of computers. Each student is expected to research one or more topics, actively participate in discussions, and give a presentation. Written papers may be required. Prer., C S 202 or instructor consent.

C S 306-3. Object-Oriented Programming Using C++.

The principal goals of this course are: 1) to learn the fundamentals of object-oriented programming, 2) to gain skill and proficiency in using the C++ programming language, 3) to exercise the C++ language in implementing a moderate sized software system designed with objects. Prer., C S 202 and ECE 1011 or instructor consent.

C S 316-3. Concepts of Programming Languages.

Evolution of the central concepts of programming languages, describing syntax and semantics, data types, abstract data types, control structures, subprograms, concurrency and exception handling. Prer., C S 145.

C S 330-3. Software Engineering.

Software engineering methodologies. The software lifecycle. Emphasis on the design, development and implementation of a software system. A course project provides the student teams practical application of the software engineering techniques. Prer., C S 145 and C S 202.

C S 401-1 to 3. Selected Topics in Computer Science.

C S 402-1 to 3. Selected Topics in Computer Science.

C S 403-1 to 3. Selected Topics in Computer Science.

C S 405-1 to 3. Selected Topics in Computer Science.

C S 406-1 to 3. Selected Topics in Computer Science.

C S 407-1 to 3. Selected Topics in Computer Science.

C S 408-1 to 3. Selected Topics in Computer Science.

C S 409-1 to 3. Selected Topics in Computer Science.

C S 410-3. Compiler Design I.

Underlying theory and design techniques for compilers. Lexical analysis, top-down and bottom-up parsing algorithms, runtime storage management, syntax directed translation schemes, intermediate code generation. Prer., C S 216, C S 316 and C S 470/570. Meets with C S 510.

C S 420-3. Computer Architecture I.

Course covers fundamentals of computer design, instruction set principles and examples, pipelining, advanced pipelining and instruction-level parallelism, memory-hierarchy design and survey of design issues in storage, interconnection network and multiprocessor systems. Prer., C S 216. Meets with C S 520.

C S 438-3. Object-Oriented Software Construction: Foundations of OOP.

The basic principles and subtleties of object-oriented programming are presented. The notation used to support the principles will be Eiffel. Prer., C S 316.

C S 442-3. Database Systems I.

Course introduces general database concepts as well as database system technology. The course covers ER and R data models, R-algebra, SQL, data storage and indexing, query optimization, database design and security. Prer., C S 145. Meets with C S 542.

C S 450-2. Operating Systems I.

Introduces concepts, terminology, and algorithms of operating systems. Describes semaphores, processes, virtual mappings, interrupts, resource allocation and management, protection, synchronization, scheduling, queueing and communication as applied to operating system design and implementation. Prer., C S 145, C S 202, C S 216, C S 420. Meets with C S 550.

C S 460-3. Numerical Computing.

Algorithms for the solution of nonlinear equations, interpolation and approximation, differentiation, integration, systems of linear equations, ordinary differential equations and least squares. Prer., C S 145, MATH 235 and MATH 313. Meets with C S 560.

C S 470-3. Computability, Automata and Formal Languages.

Finite automata and regular expressions, context-free grammars, context-free languages, and pushdown automata, Turning machines, undecidability, the Chomsky hierarchy of formal languages, computational complexity and intractable problems. Prer., C S 145, C S 202, MATH 215, & MATH 313. Meets with C S 570.

C S 472-3. Design and Analysis of Algorithms.

Design methodologies; divide-and-conquer, exhaustive search, dynamic programming. Time and space complexity measures, analysis of algorithms. Survey of important algorithms for searching, sorting, graph manipulation. Tractability: class P and NP, NP complete problems. Prer., C S 145, C S 202 and MATH 215. Meets with C S 572.

C S 480-3. Computer Graphics.

Fundamental areas of modern raster computer graphics: hardware, software, data structures, mathematical modeling, user interface and manipulation of graphical objects. A subset of the two dimensional GKS is examined and implemented with emphasis placed upon segmented display files and instance modeling. Basic to all graphic programs written are the ergonomic requirements of the user. Required programs are in the areas of animation, paint systems, polygon filling and clipping, and curve generation. Prer., C S 145, C S 202, and MATH 313. Meets with C S 580

C S 482-3. Functional and Logical Programming for Artificial Intelligence.

Course focuses on functional programming using LISP and logical programming using Prolog. Programming projects are geared towards various aspects of artificial intelligence. Prer., C S 316 or consent of instructor.

C S 501-3. Intensive Computer Science for Graduate Students.

Intended for prospective graduate students with extensive programming experience. Covers concepts in C S 115 and C S 145. Can substitute for these courses in satisfying entrance requirements for M.S. in Computer Science. Does not count towards M.S. or B.S. degrees. Not open to undergraduate. Prer., Knowledge of high-level programming language.

C S 502-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 503-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 505-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 506-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 507-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 508-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 509-1 to 3. Selected Topics in Computer Science.

Topics vary.

C S 510-3. Compiler Design.

Underlying theory and design techniques for compilers. Lexical analysis, top-down and bottom-up parsing algorithms, runtime storage management, syntax directed translation schemes, and intermediate code generation. Prer., C S 216, C S 316 and C S 470/570. Meets with C S 410.

C S 520-3. Computer Architecture I.

C S 522-3. Computer Communication.

The subject of transmitting information between processors is described in detail. The student is expected to have maturity with hardware and/or realtime concepts. Communication systems, from simple to asynchronous point-to-point links, to those based on complex network architectures will be studied. Material will be oriented toward the computer scientist as a user, designer and evaluator of such systems. Terminology and concepts will be emphasized rather than detailed electronic or physical theory. Prer., C S 420/520, C S 450/550.

C S 525-3. Multimedia Computing and Communications.

Design principles of multimedia authoring and communication systems. It covers the interface and characteristics of voice and video processing equipment, multimedia document architectures, media encoding/compression schemes, real-time scheduling of time critical multimedia documents, multimedia editors, multimedia communication standards and communication software. Prer., Graduate standing or instructor permission.

C S 526-3. Advanced Internet and Web Systems.

Advanced topics in Internet and WWW systems, TCP/IP network modules in kernel, content switching, web server technologies, web system management, load balancing, web security, and electronic commerce. Prer., C S 301, C S 522, or permission of instructor.

C S 531-3. Software Requirements Analysis and Specification.

Techniques and tools for requirements analysis and requirements specification. Requirements languages and notations. Specification completeness and consistency. Team project in the analysis and specification of a major software system. Prer., C S 145 or equivalent, knowledge of a modern programming language and discrete structures. Meets with S E 531.

C S 532-3. Software Design.

Covers a variety of methodologies and tools for design of sequential, parallel and distributed software systems. Design language; graphical design representations. Data abstraction, data dictionaries. Data flow design and diagrams. Object-oriented design. Documentation. Team project in the design of a major software system. Prer., S E 531/C S 531. Meets with S E 532.

C S 533-3. Formal Methods of Software Systems Engineering.

Elements of discrete mathematics. Formal mechanisms for specifying and verifying the correctness, reliability, and efficiency of software systems. State transition, regular expression, context free, and applicative models. Assertions, hoare axioms, and weakest preconditions. State machine, algebraic, and operational specification techniques. Prer., C S 145 or equivalent, knowledge of a modern programming language, and discrete structures. Meets with S E 533.

C S 534-3. Software Maintenance.

Discussion and application of corrective, adaptive, perfective and preventive software maintenance techniques and tools. Related topics such as software systems analysis, reverse-engineering, re-engineering, regression testing and configuration management are examined. As a project, student teams maintain an existing software system. Prer., Knowledge of modern programming language, discrete structures, C S 145 or equivalent. Meets with S E 534.

C S 535-3. Software Project Management.

Planning, scheduling, costing of projects. Measuring progress, predicting success, controlling failure. Management tools and their use. Effectiveness and efficiency of software engineering environments. Distributed software development. Quality control standards and practices. Prer., Knowledge of modern programming, NG language, data structures and algorithms, and discrete structures. Meets with S E 535.

C S 536-3. Software Product Assurance.

Principles, techniques and tools for producing quality software systems. The first half of this course focuses on software product assurance processes. The second half covers a variety of software testing techniques. Prer., C S 531. Meets with S E 536.

C S 537-3. Human-Computer Interfaces.

Techniques and tools for the analysis, design, implementation and testing of human-computer interfaces. Special topics such as human factors, rapid prototyping and usability testing will be studied. Term project. Prer., C S 330, C S 531. Meets with S E 537.

C S 538-3. Object-Oriented Software Development.

Principles of object-oriented problem-solving, object- oriented analysis and object-oriented design. Development of class hierarchies, use of polymorphism and inheritance, criteria for good design, semester project. Prer., C S 330 or consent of instructor. Meets with S E 538.

C S 539-3. Software Systems Engineering Project Laboratory.

Students participate in a project involving the development or maintenance of a software system intended for external distribution and use. Duties include requirements analysis, specification, design, implementation, testing, quality assurance, configuration management and documentation. Projects come from the university and from outside sources. Students are evaluated based on their project work and an oral presentation describing their work and critiquing their results. Prer., CS 531, CS 532, CS 534, CS 535, and CS 536. Meets with S E 539.

C S 542-3. Database Systems I.

C S 543-3. Database Systems II.

Course covers advanced database topics including transaction management, parallel and distributed databases, internet databases, decision support, data mining, object and object-relational database systems, spatial data management and other current research issues. Prer., C S 442/C S 542.

C S 550-3. Operating Systems I.

C S 551-3. Operating Systems II.

Examines and compares algorithms for deadlock, mutual exclusion, synchronization, maximal parallelism, paging, queueing, buffer allocation, interprocess communication, and scheduling as they relate to operating systems performance. Examines mechanisms and primitives for both loosely and tightly coupled networks of systems. Considers system reliability. Prer., C S 450/550.

C S 555-3. Computer Systems Performance Evaluation.

Perspectives of performance evaluation, measurement techniques; hardware, software, and firmware tools, simulation techniques, analytical techniques; workload characterization, system selection; system tuning; performance tracking, performance prediction in the design phase and cost-benefit analysis. Prer., C S 450/550.

C S 560-3. Numerical Computing.

C S 567-3. Discrete Simulation I.

Examines concepts and methods of discrete event simulation. Compares major modeling methods. Discusses statistical issues including random number generation, arrival processes, analysis of simulation output, verification and validation of models and simulation programs. Describes in detail the use of a major discrete event simulation language. Discusses simulation level of detail and simplifying assumptions. Prer., C S 202 and MATH 381.

C S 570-3. Computability, Automata, and Formal Languages.

Finite automata and regular expressions; context-free grammars, context-free languages, and pushdown automata; Turing machines; undecidability; the Chomsky Hierarchy of Formal Languages; computational complexity, and intractable problems. Prer., C S 145, C S 202, MATH 215 & MATH 313. Meets with C S 470.

C S 571-3. Evolutionary Computation.

Introduction to evolutionary computation with emphasis on genetic algorithms. Includes evolution strategies, evolutionary programming, schemata fitness functions and classifiers, current research topics, messy algorithms, adaptive landscapes. Prer., C S 202 and MATH 381.

C S 572-3. Design and Analysis of Algorithms.

Design methodologies: divide-and-conquer, exhaustive search, dynamic programming. Time and space complexity measures, analysis of algorithms. Survey of important algorithms for searching, sorting, graph manipulation. Tractability: class P and NP, NP-complete problems. Prer., C S 145, C S 202 and MATH 215. Meets with C S 472.

C S 575-3. Computational Geometry.

Computational complexity of geometric problems within the framework of analysis of algorithms. Stress on geometric searching, intersection problems, particularly of rectangles, and fundamental algorithms. Practical applications of concepts developed can be found in computer graphics, analysis of algorithms, spatial data structures and VLSI system design. Prer., C S 472/572, C S 480/580 or instructor’s consent.

C S 577-3. Computer Graphics Animation & Scientific Visualization Techniques.

Animation: basic principle, physically based modeling, algorithms for animation, constraint optimization, use of dynamics in animation, teleological modeling. Scientific visualization: overview, foundation and techniques, applications. Prer., C S 480/580.

C S 579-3. Wearable Computing and Complex Systems.

Wearable computing with an emphasis on complex systems research is an important area of research. This course will cover concepts and related techniques, and and state of the art issues. This course will provide an excellent basis for students who are interested in computer graphics and virtual reality research. Prer., C S 480/580 or consent of instructor.

C S 580-3. Computer Graphics.

Fundamental areas of modern raster computer graphics; hardware, software, data structures, mathematical modeling, user interface and manipulation of graphical objects. A subset of the two dimensional GKS is examined and implemented with emphasis placed upon segmented display files and instance modeling. Basic to all graphic programs written are the ergonomic requirements of the user. Required programs are in the areas of animation, paint systems, polygon filling and clipping, and curve generation. Prer., C S 145, C S 202 and MATH 313. Meets with C S 480.

C S 581-3. Topics in Computer Graphics.

Examines the mathematical and physical models used to produce realistic three dimensional images. Topics include perspective viewing, hidden surface removal, shading, fractals, and rag tracing. Prer., C S 480/580.

C S 582-3. Artificial Intelligence.

Course covers the foundation of artificial intelligence: search techniques, first-order predicate calculus and knowledge representation. Also covers advanced topics such as speech and natural language processing and learning. Prer., C S 316, C S 482, or instructor consent for graduate students.

C S 583-3. Artificial Intelligence II.

Covers in detail a selection of AI topics: planning, natural language processing, computer vision, robotics, expert systems, and learning. Current research topics may be covered. Students may use a programming language of their choice. Prer., C S 482/582 or instructor’s consent.

C S 584-3. Computer Vision.

Representation and manipulation of digital images, Fourier analysis of images, enhancement techniques in spatial and frequency domain, segmentation procedures, digital geometry, region and boundary representation, texture processing, pattern recognition and application to robotics. Prer., MATH 235 or consent of instructor. Meets with MATH 584.

C S 587-3. Introduction to Artificial Neural Networks.

The course will cover basic neural network architecture and learning algorithms. Practical applications will be surveyed. Students will learn to implement their own simulator and implement various architectures. Prer., MATH 235.

C S 589-3. Computational Linguistics.

Approaches to syntactic processing of natural language: issues in semantic interpretation, pragmatics or the impact of context and world knowledge of natural language understanding and generation of natural language responses. Prer., C S 582 or consent of instructor.

C S 591-3. Fundamentals of Computer/Network Security.

Introduction to the study of computer and network security from the view of information warfare. Topics include information system threats, vulnerabilities and defensive mechanisms (cryptography, authentication digital signatures, PKI, etc.). Prer., C S 202 and MATH 215.

C S 592-3. Applied Cryptography for Secure Communication.

Basic security issues in computer communication, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. Prer., MATH 215, MATH 381, C S 316, C S 522, or instructor consent.

C S 622-3. Distributed Networks.

Deals with complex communications systems in depth. Packet switching networks, local area networks, satellite systems, the open systems interconnect (OSI) reference model, and the development of communications software. Prer., C S 522.

C S 630-3. Topics in Software Systems Engineering.

Advanced topics and current research issues in software engineering. Possible topics include software engineering environments, requirements, design, testing, software metrics, configuration management, maintenance, software cost analysis, and distributed software. Prer., C S 531 or C S 535. Meets with S E 630.

C S 638-3. The Design and Modeling of Class Interfaces and Contracts.

Past and present work related to specifying the semantics of a class using assertions are examined. The BON method is presented. Prer., C S 538.

C S 643-3. Data Mining.

This course covers data warehousing, OLAP, association rules, cluster analysis, classification and prediction, complex data mining applications and trends in data mining. Prer., C S 442/542.

C S 677-3. Virtual Reality and Computer-Human Interaction.

The course will focus on the so-called ultimate form of interaction between human and machine, creating virtual or artificial world. The basic idea and various input devices will be discussed. Several advanced papers in this area will be covered. Some of these ideas will be implemented through a term project. Prer., C S 580 or C S 577 or consent of instructor.

C S 687-3. Advanced Studies in Artificial Neural Networks.

A research seminar treating contemporary results in the theory and applications of artificial neural networks. Prer., C S 587.

C S 691-3. Advanced System Security Design.

Advanced topics in network and system security, including firewall design, network intrusion detection, tracking and prevention, virus detection, programming language and OS support for security and wireless network security. Prer., C S 591, C S 592, or instructor permission.

C S 692-3. Advanced Topics in Network Security.

Covers advanced topics in network security such as Kerberos, PGP, IPSec, VPNs, SSL, SET, Smart cards, Steganography, Watermarking and Biometric Encryption. Research papers may be discussed. Prer., C S 592.

C S 700-1 to 6. Masters Thesis.

C S 701-3. Masters Project.

C S 800-1 to 10. PhD Dissertation.

Prer., Acceptance into program.

C S 920-1 to 3. Independent Study in Computer Science Undergraduate.

C S 999-0. Candidate for Degree.

Electrical and Computer Engineering

ECE 1010-2. Problem Solving in Engineering.

An introductory course which combines elementary applied mathematics, basic numerical methods, computer programming, and problem solving methodology to introduce the student to tools and techniques which will be useful throughout his/her engineering career. Grand challenges of engineering are used to motivate several applied problem solving experiences that the student will do and submit throughout the semester. The computer programming tool Matlab will be used as a problem solving language. Coreq., MATH 135.

ECE 1011-2. Computer-Based Modeling and Methods of Engineering.

Methodology for solving engineering problems is introduced. Fundamental features of the C programming language are presented and integrated with a variety of engineering examples and applications. Prer., MATH 135 and ECE 1010.

ECE 2210-3. Circuit Analysis I.

Modeling and analysis of electrical devices and circuits, including operational amplifiers. Transient and steady state response using classical differential equation methods. Impulse and step responses. Prer., MATH 136, ECE 1010, and ECE 1011. Coreq., MATH 235 and PES 112.

ECE 2220-3. Circuit Analysis II.

Continuation of ECE 2210, with frequency response, filter design, Fourier series, Fourier transforms and Laplace transforms. Prer., ECE 2210, PES 112, and MATH 235. Coreq., MATH 340.

ECE 2230-1. Circuits Laboratory.

Experimental work dealing with fundamental electrical circuits and measurement techniques. An introduction to computer-aided design (CAD). Prer., ECE 2210. Coreq., ECE 2220.

ECE 2410-3. Logic Circuits.

Design of digital systems with emphasis on synchronous state machines. The algorithmic state machine (ASM) method is used. Other topics include combinatorial logic design, asynchronous design, timing, signal propagation and noise. Coreq., ECE 1011.

ECE 2420-1. Logic Circuits Laboratory.

Design, construction, and testing of digital circuits emphasizing synchronous-state machines. Memory-based circuits are stressed. Logic probes, state analyzers, and PROM programmers are used. Prer., ECE 2410.

ECE 3050-3. Introduction to Physical Electronics.

An introduction to semiconductor devices used in modern microelectronic technologies. The course objective is to provide an understanding of the fundamental physical principles and concepts underlying the operation and use of the most important semiconductor devices. Prer., ECE 2210, ECE 3110 and PES 213.

ECE 3110-3. Electromagnetic Fields I.

Static electric and magnetic field analysis, Poisson’s and Laplace’s equations, steady electric current, fields of steady electric currents, ferromagnetic materials, boundary-value problems for static fields, time-varying electric and magnetic fields, and Maxwell’s equations and wave equations. Relationship between field and circuit theory. Prer., ECE 2220, MATH 235 and PES 213.

ECE 3120-3. Electromagnetic Fields II.

Electromagnetic wave propagation in dielectric and conducting media: solutions to the wave equations, transmission lines, waveguides and resonators, antennas and radiation, uniform and non-uniform plane waves. Design involving considerations of electromagnetic fields. Prer., ECE 3110 and MATH 340.

ECE 3210-3. Electronics I.

The application of semiconductor devices to the design of electronic circuits. Topics include diode circuits and applications, low frequency transistor amplifier design and switching theory. Prer., ECE 2210. Coreq., ECE 3230.

ECE 3220-3. Electronics II.

Transistor models used in circuit design at high frequencies: multistage amplifier design, frequency response of amplifiers, feedback, operational amplifiers, and distortion. Prer., ECE 2220 and ECE 3210. Coreq., ECE 3240.

ECE 3230-1. Electronics Laboratory I.

Design and implementation of power supplies, amplifiers with bipolar junction transistors, junction field effect transistors and MOSFETS. In addition, basic circuit design with operational amplifiers will also be performed. Prer., ECE 3220. Coreq., ECE 3210.

ECE 3240-1. Electronics Laboratory II.

Continuation of ECE 3230. Design of differential amplifier with discrete components, analysis of frequency response, frequency compensation techniques, feedback amplifier design, power amplifiers, oscillator and simple subsystem design. Prer., ECE 3230. Coreq., ECE 3220.

ECE 3420-1. Microprocessor Systems Laboratory.

Introduction to microprocessor development systems and foundations of system design. Assembly language will be used in the development. Use of high-level
languages will also be discussed. Prer., ECE 1011. Coreq., ECE 3430.

ECE 3430-3. Introduction to Microcomputer Systems.

Design of microcomputer systems including assembly language programming and interfacing techniques. Emphasis is on the practical application of microcomputers as solutions to engineering problems. Prer., ECE 2410. Coreq., ECE 3420.

ECE 3440-1. Microcomputer Systems Laboratory.

Experiments are performed to program and interface microcomputer systems to design and implement microcomputer-based systems. Emphasis is on the application of the microcomputer as a tool to solve control and data acquisition problems. Prer., ECE 2420 and ECE 3430.

ECE 3510-3. Linear System Theory.

Characterization of linear systems by impulse response, convolution, transfer function. Linear differential equations and linear difference equations as models. Applications to circuits, electromechanical systems, etc. Transform methods include: Fourier series, Fourier transforms, and Laplace transforms. Introduction to state variables, and the state transition matrix. Use of a variety of models in design. Prer., ECE 2220 and MATH 340.

ECE 3610-3. Engineering Probability & Statistics.

An introduction to probability and statistics with application to solving engineering problems. Includes the axioms of probability, random variables, density functions, distributions functions, expectations. Gaussian random variables, bivariate random variables, sums of independent random variables. Estimation of sample mean and variance. Monte Carlo simulation, binomial, hypergeometric, Poisson counting processes, confidence intervals, reliability, failure rates, the Weibull model, the log-normal model, estimation using regression. Introduction to random processes. Involves a project making use of simulation of random variables on a computer. Prer., MATH 235.

ECE 4020-3. Principles of Semiconductor Devices.

Detailed analysis of transport properties as they apply to device characteristics including switching, transit time, and bulk-effect devices. Prer., ECE 3050 and ECE 3110. Meets with ECE 5020.

ECE 4040-1. Introductory VLSI Fabrication Laboratory.

Various types of VLSI fabrication processes such as thermal oxidation, rapid thermal annealing, diffusion, physical vapor deposition, ion implantation, photolithography and etching. In addition, students will use a variety of device characterization techniques available in the laboratory. Prer., ECE 3050, ECE 4020, and ECE 4080 or consent of instructor.

ECE 4050-3. Microelectronics IC Fabrication Laboratory.

Independent experimental project in which students are expected to acquire the theoretical understanding of modern IC fabrication process, perform the IC processing and supporting measurements, and write detailed laboratory reports. Students should take ECE 4050 before ECE 4896. Prer., ECE 4080 and ECE 4020 or consent of instructor. Meets with ECE 5050.

ECE 4070-3. Electronic Properties of Materials.

Principles and applications of the electrical, optical, magnetic, and thermal properties of engineering electronic materials. The treatment is designed for students specializing in the areas of microelectronics, solid state, and electromagnetics. Prer., ECE 3050. Meets with ECE 5070.

ECE 4080-3. VLSI Processing.

Introductory study of the various processes such as oxidation, diffusion, epitaxy, ion-implantation, photolithography, CVD, plasma processing, etc., used in contemporary fabrication of modern microelectronic technologies; use and understanding of process modeling programs used in design, fabrication, and simulation of MOSFET and bipolar microelectronics technologies. Prer., ECE 3050 or consent of instructor. Meets with ECE 5080.

ECE 4110-3. Electromagnetic Theory and Applications.

An intermediate level fields course beginning with the classical development of Maxwell’s equations and the Wave equation. Included are electrostatics, the steady magnetic field, plane-wave propagation, Poynting’s vector, guided waves, transmission lines, wave guides, the interaction of fields and matter, and concluding with an introduction to the subject of radiation. Dirac-delta and Dyadic Green’s function method of problem solution are treated. Prer., ECE 3120 or equivalent. Meets with ECE 5110.

ECE 4150-1. Microwave Measurements Laboratory.

Experiments with transmission lines and waveguide systems. Infrared imaging of electromagnetic fields. Measurement of antenna fields. Exposure to equipment and techniques used in microwave measurements. Design of microwave circuits. Prer., ECE 3120 or equivalent. Meets with ECE 5150.

ECE 4200-1. Advanced Digital Design Laboratory.

A design laboratory focusing on the design of digital systems using modern programmable devices (PLDs and FPGAs). Contemporary design tools and hardware description languages (e.g., Verilog) will be used. Prer., ECE 4242.

ECE 4211-3. Rapid Prototyping with FGPAs.

Field programmable gate arrays (FPGAs) are an important part of the overall design flow for application specific integrated circuits (ASICs) because they offer the potential of allowing cheap hardware prototypes to be built to meet a narrow window of opportunity. They also offer novel, programmable architectures. This course will focus on the combined use of FPGAs and modern synthesis tools to develop rapid prototypes of ASICs. Architectural and performance tradeoffs and characteristics of both commercial anti-fuse and dynamically programmable FPGAs will be considered. Includes a team project. Prer., ECE 4242. Meets with ECE 5211.

ECE 4220-3. Analog IC Design.

A fundamental analog circuit design course that establishes relationships between semiconductor device theory, semiconductor processing technologies and the electrical and functional performance requirements of modern analog integrated circuits. Includes design project. Prer., ECE 3050, ECE 3220, and ECE 3240. Meets with ECE 5220.

ECE 4230-3. Analog Filter Design.

Theory, specification, design, and simulation of active and passive analog filters based on modern integrated circuit technology and VLSI Design I design philosophy. Prer., ECE 3220. Meets with ECE 5230.

ECE 4242-3. Advanced Digital Design Methodology.

This course focuses on modern digital design practice using computer-based design tools and then considers key steps in a modern design flow, with particular attention to the use of behavioral models in hardware description languages as a stepping stone to combinational and sequential logic synthesis. The Verilog language will be presented, along with ancillary topics of functional verification, testbench generation, timing analysis, fault simulation, and design for testability. Design examples will include microcontrollers, RISC-CPUs, pipelined processors, digital filters, finite state machines for datapath control, UARTs, and typical architectures of synchronous computational units. Prer., ECE 3210. Meets with ECE 5242.

ECE 4250-3. Microwave Circuit Design.

An introduction to the design and analysis of microwave circuits both passive and active. Topics include microwave circuit analysis, measurement methods, transmission line structures, material properties, lumped elements, discontinuities, terminations, attenuators, directional couplers, hybrids, power dividers, impedance transformers, filters, mixers, switches, phase shifters, and amplifiers. Prer., ECE 3120 or equivalent. Meets with ECE 5250.

ECE 4260-3. Mixed Signal IC Design.

Design of data converters, switch capacitor filters, high performance opamps, phase locked loops, oscillators. Prer., ECE 4220/5220 or consent of instructor. Meets with ECE 5260.

ECE 4270-3. CMOS Radio Frequency Integrated Circuit Design.

CMOS based high Frequency amplifier design, s-parameters, voltage references, noise, low noise amplifier (LNA), mixers, RF power amplifiers, phase locked loops, oscillators and synthesizers, transmitter and receiver architectures and RFID systems. Prer., ECE 3110, ECE 3210, ECE 3220. Meets with ECE 5270.

ECE 4320-3. Fault Detection & Design for Testability.

Stuck-at fault modeling. Test generation for combinational circuits-Boolean difference, D algorithm, PODEM, FAN, critical path. Fault dominance and equivalence. Test generation for synchronous sequential circuits. Cost functions used in test generation. Fault simulation. Basics of design for testability. Prer., ECE 3430 or equivalent. Meets with ECE 5320.

ECE 4330-3. Embedded Systems Design.

Introduction to embedded systems including real time fault-tolerant significance. Study the hardware and software techniques to designing embedded system, including study of various embedded operating systems, embedded controllers and digital signal processing hardware. Study existing embedded systems. Prer., ECE 3430, C S 145, or consent of instructor.

ECE 4340-3. VLSI Circuit Design I.

Design considerations for MOS integrated circuits with an emphasis on CMOS technology and the relationships between semiconductor device theory, semiconductor processing technologies, and the electrical and functional performance requirements of modern digital IC circuits. Physical behavior of CMOS transistors and integrated circuits, CMOS processing technology, CMOS circuit and logic design, design rules, and structured design methodology. Prer., ECE 3050 and ECE 3210. Meets with ECE 5340.

ECE 4362-3. Synthesis with Verilog HDL.

Use of the Verilog hardware description language in the synthesis of digital systems. Topics include Verilog semantics, syntax, event-driven simulation, examples, and a brief comparison of Verilog and VHDL. Logic synthesis with Verilog using commercial tools for cell-based and FPGA technologies. Design project required. Prer., ECE 3430. Meets with ECE 5362.

ECE 4480-3. Computer Architecture and Design.

The design of large digital systems with emphasis on the computer. Architectural alternatives, instruction set design, implementations including microprogramming, and actual examples are discussed. Performance tradeoffs. Prer., ECE 3430. Meets with ECE 5480.

ECE 4510-3. Feedback Control Systems.

Linear analysis and analog simulation of electrical, chemical, hydraulic, and mechanical systems using block diagrams and signal flow graphs. Comparison of open and closed loop configurations. Feedback control system design using Nyquist, Bode, and root locus methods. Effects of simple networks on system response. Introduction of state variable techniques and digital computer solutions. Prer., ECE 3510.

ECE 4520-3. Multivariable Control Systems I.

Fundamental aspects of modern control theory are covered, including solutions to systems modeled in state variable format, controllability, observability, pole placement, and linear transformation. Computer- based tools for control system design are used. Prer., ECE 4510 and MATH 313, or equivalent. Meets with ECE 5520.

ECE 4530-3. Control Systems Laboratory.

Introductory experiments on response of control system components. Open-loop and closed-loop (feedback) response of servo systems. Simulation of systems on an analog computer. Design of compensator systems. Coreq., ECE 4510.

ECE 4540-3. Digital Control Systems.

Theory and application of classical and modern discrete-time control systems. Analysis and design of discrete-time and hybrid control using Z-transforms, root locus, frequency domain and state variable compensation techniques. On-line implementation by digital computers will be studied. Prer., ECE 4510. Meets with ECE 5540.

ECE 4550-3. Computer Control System Theory & Design.

Control theory relevant to analysis and design of computer controlled systems. Topics covered include concepts of sampled data systems, methods of design for control system with digital controllers including redesign of analog controllers. Pole placement algorithms and state estimators for discrete systems are covered. Prer., ECE 4540 or equivalent. Meets with ECE 5550.

ECE 4560-1. Digital Control Laboratory.

Discrete-time control systems will be designed and tested using microcomputers, compensators, A/D and D/A converters, and analog computers. Experiments in the control of discrete and analog systems will be performed. Coreq., ECE 4540.

ECE 4610-3. Analysis of Random Signals.

Probability and random variables. Practical aspects and methods for analyzing and interpreting random signals. Statistical and parametric descriptions, estimators and errors for measurement data. Prer., ECE 3510 and ECE 3610 or equivalent. Meets with ECE 5610.

ECE 4625-3. Communication Systems I.

Introduction to principles of modern communication theory and signal processing: AM, FM, PAM, PCM, and delta modulation. Noise analysis, filtering, threshold effects, phase-locked loops, and introduction to digital modulation. Prer., ECE 3510. Meets with ECE 5625.

ECE 4630-3. Communications Systems II.

Continuation of ECE 4625. Digital modulation and demodulation; equalization and diversity; error correcting code performance in noise; introduction to spread spectrum and space communications; simulation of communication systems. Prer., ECE 3610 & ECE 4625/5625 or equivalent. Meets with ECE 5630.

ECE 4640-3. Introduction to Digital Signal Processing.

An introductory treatment of design and application of signal-processing techniques. Includes design of digital filters by both classical frequency response and impulse response specification, discussions of FIR/IIR/lattice structures and properties, implementation, and hardware considerations. Study of spectrum analysis by fast Fourier transform (FFT). Discussion of applications in communication, speech analysis and synthesis, image processing, radar/sonar, seismography, digital control, etc. Prer., ECE 3510.

ECE 4650-3. Modern Digital Signal Processing.

Study of linear discrete-time systems, linear difference equations, Z-transforms, discrete Fourier transform, fast Fourier transform, sensitivity, discrete random processes, quantization effects, and design-related concepts. Prer., ECE 3510 and ECE 3610 or equivalent. Meets with ECE 5650.

ECE 4655-3. Real-Time Digital Signal Processing.

An introduction into the design, development, and implementation of signal processing algorithms on real-time hardware targets. The emphasis will be on high-level language, but assembly language will also be discussed. Prer., ECE 4650/5650 or ECE 4640. Meets with ECE 5655.

ECE 4660-3. Introduction to Digital Image Processing.

Methods for coding, storing, and processing images by digital computers. Image models, sampling theorem, Fourier representation. Methods for image enhancement, restoration, registration and image understanding. Introduction to pattern recognition, computer vision and robotics with industrial applications. Prer., ECE 3510 and ECE 3610. Meets with ECE 5660.

ECE 4670-1. Communications Laboratory.

Laboratory experiments demonstrating material taught in ECE 4625/5625. Use is made of Spectrum analysis to study baseband signals and signal processors. Topics include noise, AM, FM, PM, sampling, TDM, digital modulation, errors, and complete communication systems. Prer., ECE 3230. Coreq., ECE 4625.

ECE 4675-3. Phase-Locked Loops and Frequency Synthesis.

A study of phase-locked loops and frequency synthesizers. Both analysis and design aspects are addressed. Linear and nonlinear models are considered. Prer., ECE 3610 and ECE 4625. Meets with ECE 5675.

ECE 4680-1. Signal Processing Laboratory.

Analog filter design, design and simulation of digital processors including filters and FFT algorithms. Prer., ECE 3230 and ECE 4650 or Coreq. ECE 4640.

ECE 4890-1. Senior Seminar.

Design principles and a variety of realistic constraints such as economic factors, safety, reliability, aesthetics, ethics, and social impact; design project organization and design goals; techniques for making oral presentations and organizing written reports; interviewing and resume writing skills along with the art of making a favorable first impression. Prer., This course must be taken the semester before C S 409, ECE 4892, or ECE 4899.

ECE 4892-3. Computer Engineering Design Projects.

A project lab taken during the last semester of the senior year for the design of computer engineering components and systems. Students will identify, select, and complete a design project. Design specification, analysis, design, simulation and/or construction of a successful project is required for completion of the course. Prer., ECE 4890 and last semester of degree program.

ECE 4899-3. Electrical Engineering Design Project.

A project lab taken during the last semester of the senior year for the design of system components and systems in the areas of communications, computer engineering, controls, digital signal processing, electromagnetics, microelectronic fabrication processes, or CMOS integrated circuits. Students will identify, select, and complete a design project. Design specification, analysis, design, simulation and/or construction of a successful project is required for completion of the course. Prer., ECE 4890 and last semester of degree.

ECE 4910-3. Selected Topics.

Credit and subject matter to be arranged. Consult current course schedule of classes for offering of topics. Prer., Senior standing. Meets with ECE 5910.

ECE 4990-1 to 3. Selected Topics.

Credit and subject matter to be arranged. Consult current course schedule of classes for offering of topics. Prer., Consent of instructor.

ECE 5010-3. Electronic Ceramics.

Course covers physical theory of each type of electronic ceramic used in applications such as insulators, resistors, capacitors, fast ion conductors, magnetic ceramic, optical and electro-optical materials, waveguides, lasers, high Tc ceramic superconductors, high dielectric constant materials, and sensors. Course is biased toward thin-films in integrated circuit applications. However, many examples in the current literature of basic materials synthesis techniques, deposition processes and properties will also be an integral part of the course. Prer., ECE 4070/5070.

ECE 5020-3. Principles of Semiconductor Devices.

Detailed analysis of transport properties as they apply to device characteristics including switching, transit time and bulk-effect devices. Prer., ECE 3050 and ECE 3110. Meets with ECE 4020.

ECE 5030-3. Advanced Semiconductor Device Modeling.

Introduce advanced students and graduate engineers to the methodology of numerical device modeling. The course is designed to take the student from the classical analytical models to finite difference and finite element schemes common in existing device modeling programs. Technologically worthy models (as opposed to simple phenomenological models) have a high degree of sensitivity to the fabrication technology and regions of operating voltages, currents and frequencies. This course sets the foundations for state-of-the-art modeling analysis and simulation employed by most semiconductor companies. Prer., ECE 4020/5020.

ECE 5050-3. Microelectronics IC Fabrication Laboratory.

independent experimental project in which students are expected to acquire the theoretical understanding of modern IC fabrication process, perform the IC processing and supporting measurements, and write detailed laboratory reports. Students should take ECE 4050/5050 before ECE 4896. Prer., ECE 4080/5080 and ECE 4020/5020 or consent of instructor. Meets with ECE 4050.

ECE 5060-3. Processing and Device Physics of Advanced MOSFET Microelectronic Structures.

Development of basic and up-to-date understanding of the fabrication, processing, and device physics of advanced MOSFET structures used in contemporary microelectronic circuits. Topics covered include MOS theory and characterization, MOSFET process/ device physics, advanced MOSFET process/device topics, review and study of current literature. Prer., ECE 4020/5020 or consent of instructor.

ECE 5070-3. Electronic Property of Materials.

ECE 5080-3. VLSI Processing.

Introductory study of the various processes such as oxidation, diffusion, epitaxy, ion-implantation, photolithography, CVD, plasma processing, etc., used in contemporary fabrication of modern microelectronic technologies; use and understanding of process modeling programs used in fabrication simulation of MOSFET and bipolar microelectronic technologies. Prer., ECE 3050 or consent of instructor. Meets with ECE 4080.

ECE 5090-3. Semiconductor Device Characterization.

Characterization of semiconductor devices for application in signal amplification. Topics include models for integrated-circuit active devices, bipolar and MOS integrated-circuit technology, single- transistor and two-transistor amplifiers, transistor current sources and active loads, output stages, operational amplifiers, and frequency response, and integrated circuits. Prer., ECE 4020/5020 or equivalent.

ECE 5100-3. Technology of Gallium Arsenide Devices.

Topics pertinent to GaAs processing technology and devices. Topics include materials characterization, GaAs physics, MOCVD, MOSFETS and HEMTS, digital GaAs circuits, and analog applications. Prer., ECE 4020/5020.

ECE 5110-3. Electromagnetic Theory and Applications.

An intermediate-level fields course beginning with the classical development of Maxwell’s equations and the wave equation. Included are electrostatics, the steady magnetic fields, plane-wave propagation, Poynting’s vector, guided waves, transmission lines, wave guides, the interaction of fields and matter, and concluding with an introduction to the subject of radiation. Dirac-delta and Dyadic Green’s-function methods of problem solution are treated. Prer., ECE 3120 or equivalent. Meets with ECE 4110.

ECE 5150-1. Microwave Measurements Laboratory.

ECE 5160-3. Electromagnetic Effects in IC Design.

System electromagnetic considerations in IC system design. Includes RF component behavior, EM material properties, impedance and resonance, transmission lines, differential circuits, ground bounce, crosstalk-radiated emissions, and EM measurements. Prer., ECE 3110 and ECE 3210.

ECE 5190-3. Remote Sensing.

Covers fundamental technology for various remote sensing techniques. These techniques cover optical, infrared, microwave, and nuclear sensors and imaging systems as appropriate. Background effects and effects of propagation through the atmosphere are included as well as tradeoffs of systems and platform capabilities. Prer., ECE 3120 and PES 213 or equivalent. Meets with MAE 5092.

ECE 5211-3. Rapid Prototyping with FPGAs.

Field programmable gate arrays (FPGAs) are an important part of the overall design flow for application specific integrated circuits (ASICS) because they offer the potential of allowing cheap hardware prototypes to be built to meet a narrow window of opportunity. They also offer novel, programmable architectures. This course will focus on the combined use of FPGAs and modern synthesis tools to develop rapid prototypes of ASICs. Architectural and performance tradeoffs and characteristics of both commercial anti-fuse and dynamically programmable FPGAs will be considered. Includes a team project. Prer., ECE 4242/5242. Meets with ECE 4211.

ECE 5220-3. Analog IC Design.

A fundamental analog circuit design course that establishes relationships between semiconductor device theory, semiconductor processing technologies, and the electrical and functional performance requirements of modern analog integrated circuits. Includes design project. Prer., ECE 3050, ECE 3220 and ECE 3240. Meets with ECE 4220.

ECE 5230-3. Analog Filter Design.

Theory, specification, design and simulation of active and passive analog filters based on modern integrated circuit technology and VLSI Design I design philosophy. Prer., ECE 3220. Meets with ECE 4230.

ECE 5242-3. Advanced Digital Design Methodology.

Modern digital design with computer-based design tools: Verilog behavioral models, combinational and sequential logic synthesis. Functional verification, testbench generation, timing analysis, fault simulation and design for testability. Microcontrollers, signal processors, state machines, and datapath control. Prer., ECE 3210. Meets with ECE 4242.

ECE 5250-3. Microwave Circuit Design.

An introduction to the design and analysis of microwave circuits both passive and active. Topics include microwave circuit analysis, measurement methods, transmission line structures, material properties, lumped elements, discontinuities, terminations, attenuators, directional couplers, hybrids, power dividers, impedance transformers, filters, mixers, switches, phase shifters and amplifiers. Prer., ECE 3120 or equivalent. Meets with ECE 4250.

ECE 5260-3. Mixed Signal IC Design.

Design of data converters, switch capacitor filters, high performance opamps, phase locked loops, oscillators. Prer., ECE 4220/5220 or consent of instructor. Meets with ECE 4260.

ECE 5270-3. CMOS Radio Frequency Integrated Circuit Design.

CMOS based high Frequency amplifier design, s-parameters, voltage references, noise, low noise amplifier (LNA), mixers, RF power amplifiers, phase locked loops, oscillators and synthesizers, transmitter and receiver architectures, and RFID systems. Prer., ECE 3110, ECE 3210, ECE 3220. Meets with ECE 4270.

ECE 5320-3. Fault Detection & Design for Testability.

Stuck-at fault modeling. Test generation for combinational circuits-Boolean difference, D-algorithm, PODEM, FAN, critical path. Fault dominance and equivalence. Test generation for synchronous sequential circuits. Cost functions used in test generation. Fault simulation. Basics for design for testability. Prer., ECE 3430 or equivalent. Meets with ECE 4320.

ECE 5340-3. VLSI Circuit Design I.

Design considerations for MOS integrated circuits with an emphasis on CMOS technology and the relationships between semiconductor device theory, semiconductor processing technologies and the electrical and functional performance requirements of modern digital IC circuits. Physical behavior of CMOS transistors and integrated circuits, CMOS processing technology, CMOS circuit and logic design, design rules and structured design methodology. Prer., ECE 3050 and ECE 3210. Meets with ECE 4340.

ECE 5362-3. Synthesis with Verilog HDL.

ECE 5370-3. Artificial Neural Networks.

A research seminar treating fundamental models and contemporary results in the theory, implementation, and application of artificial neural networks. Prer., Graduate standing. Meets with ECE 6370.

ECE 5410-3. Advanced Topics in Testing.

Bridging faults and quiescent-current testing. BIST PLAs, RAMs, ROMs. Delay-faults and gate-delay/ path-delay models. Logic-level and system-level fault diagnosis. Prer., ECE 4320/5320. Meets with ECE 6410.

ECE 5450-3. Advanced Computer Architecture.

This is a second course in computer architecture. Topics covered will include proposed novel architectures, arithmetic system design, multi-processor and multicomputer interconnection schemes and their performance evaluation, and application-directed architecture. Prer., ECE 4210/5210 and ECE 4480/5480.

ECE 5480-3. Computer Architecture and Design.

ECE 5520-3. Multivariable Control Systems I.

Fundamental aspects of modern control theory are covered, including solutions to systems modeled in state variable format, controllability, observability, pole placement, and linear transformations. Computer-based tools for control system design are used. Prer., ECE 4510, and MATH 313, or equivalent. Meets with ECE 4520.

ECE 5530-3. Multivariable Control Systems II.

Design of systems in state variable format are covered including linear quadratic regulators, state estimators, model reference compensators, and H infinity control. Computer tools are used. Prer., ECE 4520/5520.

ECE 5540-3. Digital Control Systems.

Theory and application of classical and modern discrete-time control systems. Analysis and design of discrete-time and hybrid control using Z-transforms, root locus, frequency domain, and state variable compensation techniques. On-line implementation by digital computers will be studied. Prer., ECE 4510. Meets with ECE 4540.

ECE 5550-3. Computer Control System Theory & Design.

ECE 5570-3. Optimal Control Theory.

Formulation of optimal control problems, performance index, the variational approach to optimal control problems, Pontryagin’s maximum principle, the principle of optimality, the Hamilton-Jacobi equation, computational methods, the steepest descent method, variation of extremals, quasilinearization, and gradient projection. Prer., ECE 4520/5520 or equivalent.

ECE 5610-3. Analysis of Random Signals.

Probability and random variables. Practical apsects and methods for analyzing and interpreting random signals. Statistical and parametric descriptions, estimators and errors for measurement data. Prer., ECE 3510 and ECE 3610 or equivalent. Meets with ECE 4610.

ECE 5620-3. Detection and Extraction of Signals from Noise.

Detection and extraction methods used in signal processing and includes such subjects as decision theory, detection of known random signals, optimum receiver design and evaluation, estimation theory, estimation of parameters, Wiener filtering, Kalman-Bucy filtering, applications to problems in communication theory. Prer., ECE 4625/5625 and ECE 4610/5610 or equivalent. Meets with ECE 6620.

ECE 5625-3. Communication Systems I.

ECE 5630-3. Communication Systems II.

Continuation of ECE 4625/5625. Digital modulation and demodulation; equalization and diversity; error correcting code performance in noise; introduction to spread spectrum and space communications; simulation of communication systems. Prer., ECE 3610 and ECE 4625/5625 or equivalent. Meets with ECE 4630.

ECE 5635-3. Wireless Communication Systems.

Types of wireless communication systems; channel models; cellular characteristics; handoff; modulation techniques; first, second, and third generation systems; wireless networks. Prer., ECE 4625/5625.

ECE 5640-3. Spread Spectrum Communications Systems.

An in-depth study of spread spectrum systems including implementation and performance. This will include effects of hostile interference on spread spectrum system performance, acquisition and tracking of the spread spectrum signal and an introduction to coding techniques used to mitigate the effect of jamming. Prospective students should have previous course background in signal analysis, probability and digital communications. Prer., ECE 4630/5630 or equivalent. Meets with ECE 6640.

ECE 5650-3. Modern Digital Signal Processing.

ECE 5655-3. Real-Time Digital Signal Processing.

ECE 5660-3. Introduction to Digital Image Processing.

Methods for coding, storing and processing images by digital computers, image models, sampling theorem, Fourier representation, methods for image enhancement, restoration, registration and image understanding. Introduction to pattern recognition, computer vision and robotics with industrial applications. Prer., ECE 3510 and ECE 3610. Meets with ECE 4660.

ECE 5675-3. Phase-Locked Loops and Frequency Synthesis.

ECE 5680-3. Computer Communications Networks.

Modern communications networks provide a means for messages and data to be exchanged between high speed digital computers. Central to this technology are many design problems dealing with network layout, capacity assignment, user delay, routing, cost and queue management. This course will address the problems in the context of different contemporary communications network designs. Prer., ECE 3610 or equivalent.

ECE 5900-3. Graduate Seminar.

Meetings of faculty, students and guests from industry to participate in discussions of recent advances in research or other topics of interest. Seminar schedule will be announced at the beginning of the Fall and Spring semesters. Topics will be presented by faculty, graduate students and invited lecturers from other universities, government agencies and industry. Prer., Consent of instructor.

ECE 5910-3. Selected Topics.

Current topics in ECE. See current course bulletin for detailed description. Prer., Graduate standing. Meets with ECE 4910.

ECE 5970-1 to 3. Selected Topics.

Current topics in ECE. See current course bulletin for detailed description. Prer., Consent of instructor.

ECE 5990-3. Advanced Topics Seminar.

Current topics in microelectronics, materials, devices, and processes. Prer., Consent of instructor. Meets with ECE 6990.

ECE 6020-3. Solid State Electronics II.

This course is designed for advanced students looking for a formal treatment of solid state phenomena with special emphasis on semiconductors. Topics include energy band theory, impurities and imperfections in semiconductors, carrier concentration in thermal equilibrium, Boltzmann’s transport equation, thermal effects in semiconductors, diffusion of electrons and holes, scattering of electrons and holes, recombination phenomena, strong field effects, high frequency and amorphous semiconduc
tors. Pre