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CSc 368 Artificial Intelligence Programming (3)

1996-97

Catalog Data: The use of LISP and related languages to simulate intelligence on computers. Prerequisite: CSc 262 or approval of the division head. (ES 2) (ED 1)

Textbook: Winston & Horn, LISP, third edition, 1989. Addison-Wesley

Ginsberg, M., Essentials of Artificial Intelligence, Morgan-Kaufmann

Reference:

Coordinator: S. Gulden, Professor

Goals: Teaching some of the programming techniques used in AI.

Prerequisites by topic: CSc 262 Programming Languages:

1. Algorithms

2. Concepts of programming languages

Topics:

1. Fundamentals of Common LISP (10 hours)
2. Property Lists (3 hours)
3. Pattern matching (6 hours)
4. Production Systems (5 hours )
5. Forward and Backward Chaining (4 hours)
6. Elementary Language Processing Systems (4 hours)
7. Search Methods (8)
8. Natural Language Semantics (2 hours)

1. Basic Lisp Programs (2 weeks)
2. Advanced techniques (2 weeks)
3. Derivative and Algebraic Manipulation (3 weeks)
4. String Sorting (2 weeks)
5. Search Methods (2 weeks)

Engineering Design: 1 credit

Engineering Science: 2 credits

Estimate CSAB Category Content: Computer Science Allocation

CORE
• Theoretical Foundations:
• Algorithms:
• Data Structures:
• Software design:
• Concepts of programming languages:
• Computer elements and Architecture:
• Social Implications:
ADVANCED
• Theoretical Foundations:
• Algorithms: 1
• Data Structures: 1
• Software design:
• Concept of programming languages: 1
• Computer elements and Architecture:
• Other Allocation (Specify)
Total Credits: 3

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CSc 375 Hardware and Software Topics in Parallel Computing (3)

1996-97

Catalog Data: Introduction to parallel computing, covering both hardware and software topics such as interconnection networks, SIMD, MIMD, and hybrid parallel architectures, parallel languages, parallelizing compiler techniques and operating systems for parallel computers. Prerequisite: ECE 201 and CSc 303 previously or concurrently, or consent of the instructor. (ES 1.5) (ED 1.5)

Prerequisites: ECE 201 and CSc 303 previously or concurrently, or consent of the instructor.

Textbook: Almasi & Gottlieb, Highly Parallel Computing, 1989, Benjamin Cummings.

Coordinator:

Goals: This senior level class is designed to introduce the students to architectural and software issues in parallel processing.

Prerequisite: CSc 303 previously or concurrently, or consent of instructor.

Topics:

1. Introduction to parallel processing (3 hours)
2. Interconnection networks (6 hours)
3. SIMD architectures (4 hours)
4. MIMD architectures (4 hours)
5. Hybrid SIMD/MIMD (2 hours)
6. Constructs for parallel execution (7 hours)
7. Parallelizing sequential code (4 hours)
8. Operating systems for parallel computers (4 hours)
9. Student presentations (6 hours)

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

Estimate CSAB Category Content: Computer Science Allocation

CORE
• Theoretical Foundations:
• Algorithms:
• Data Structures:
• Software design:
• Concept of programming languages:
• Computer elements and Architecture:
• Social Implications:
ADVANCED
• Theoretical Foundations: 1
• Algorithms:
• Data Structures:
• Software design:
• Concept of programming languages: 1
• Computer elements and Architecture: 1
• Other Allocation (Specify)
Total Credits: 3

Return to the course index or return to the EECS home page

CSc 376 Parallel Algorithms (3)

1996-97

Catalog Data: Parallel algorithms for searching, sorting, matrix processing, network optimization, and selected graph problems. Implementation and efficiency measures of parallel algorithms also considered. Prerequisite: Return to the course index or return to the EECS home page href="#CSC375"> CSc 375 or CSc 340 or consent of instructor. (ES 1) (ED 2)

Textbook: Akl, Selim, The Design and Analysis of Parallel Algorithms, 1st edition, 1989, Prentice-Hall.

Reference(s):

Coordinator:

Goals: To introduce the student to the paradigm of parallel computation; to investigate the approaches used to exploit parallelism in specific applications such as sorting, searching, matrix multiplication, FFT.

Prerequisite: As stated in catalog description above.

Topics:

1. Models of Computation - 4 hours
2. Selection - 5 hours
3. Merging - 5 hours
4. Sorting - 6 hours
5. Searching - 6 hours
6. Numerical Problems - 6 hours
7. Graph Algorithms - 4 hours
8. Complexity Issues - 4 hours

Estimated ABET Category Content:

Engineering Design: 2 credits

Engineering Science: 1 credit

Estimate CSAB Category Content: Engineering Science: 3 credits

CORE
• Theoretical Foundations:
• Algorithms:
• Data Structures:
• Software design:
• Concept of programming languages:
• Computer elements and Architecture:
• Social Implications:
ADVANCED
• Theoretical Foundations:
• Algorithms: 3
• Data Structures:
• Software design:
• Concept of programming languages:
• Computer elements and Architecture:
• Other Allocation (Specify)
Total Credits: 3

Computer Science Graduate Courses

CSc 403. Theory of Operating Systems (3)

Principles of operating systems with emphasis on hardware and software requirements and design methodologies for multi-programming systems. Global topics include the related areas of process management, resource management, and file systems. Prerequisite: CSc 303 or equivalent.

CSc 409. Theory of Automata and Formal Grammars (3)

Finite automata. Pushdown automata. Relationship to definition and parsing of formal grammars. Prerequisite: CSc 318.

CSc 411. Advanced Programming Techniques (3)

Deeper study of structured programming, data structures, back-tracking, recursion. Applications of basic concepts of automata theory and formal language theory. Fundamental principles of "large program" design. Several major programming assignments using Pascal. Prerequisite: 17 or consent of the division head. Gulden

Return to the course index or return to the EECS home page

CSc 412. Object Oriented Programming (3)

Objects, messages, classes and inheritance; the model-view-controller paradigm. Prototyping the user interface. Kay

CSc 413. Robotics and Intelligent Machines (3)

Software aspects of robot and intelligent machine controls. Fundamental control issues through language and artificial intelligence implementations.

CSc 414. Expert Systems (3)

The design and development of knowledge-based expert systems. Rule-based protocols. Knowledge engineering. Programming application. Prerequisite: CSc 368.

CSc 415. Database Topics (3)

Design issues in integrated database systems. Database entities and their relationships. Prerequisite: CSc 241 or equivalent.

CSc 416. Advanced Issues in Knowledge-based Systems (3)

Advanced techniques and current applications of knowledge-based systems. Emphasis on knowledge engineering techniques through the development of a substantial system. Prerequisite: CSc 414. Hillman and Blank

CSc 417. Topics in Information Retrieval (3)

Selected topics in the design of advanced retrieval systems. Prerequisite: CSc 241 or equivalent.

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CSc 418. Uncertainty in Knowledge Based Systems (3)

Basic problems and possibilities for probable inference by expert systems are discussed. In this light, Bayesian inference, certainty factors, Dempster-Shafer evidence theory, and fuzzy logic are described and critiqued. Various related topics are also discussed.

CSc 422. Advanced Topics in Compiling (3)

Topics from general parsers, attributed translation, attribute grammars, two-level grammars, expression optimization, data flow, code optimization, compiler compilers, implementation languages, multi-tasking languages. Prerequisite: CSc 302 or consent of the division head. Gulden

CSc 432. Object-Oriented Software Engineering (3)

CSc 437. Program Semantics (3)

Theories and techniques of program semantics and program verification. Topics may be chosen from denotational semantics, operational semantics, Floyd-Hoare semantics, temporal logic, dynamic logic, algebraic semantics, continuous semantics, recursive function theory or a current semantic theory. Gulden

CSc 440. Graph Theory and Application (3)

CSc 450. Special Topics (3)

Selected topics in computer science not included in other courses. May be repeated for credit.

Return to the course index or return to the EECS home page

CSc 463. Advanced Issues in Natural Language Processing (3)

Advanced techniques and current applications of natural language systems. Complex syntax and semantics, discourse coherence and planning, natural language interfaces and other applications. Prerequisite: CSc 365 or CSc 465. Blank

CSc 465. Seminar in Natural Language Processing (3)

Writing and presenting reviews of research issues in natural language, knowledge representation, speech processing and other applications. Requires concurrent attendance in CSc 365: Natural Language Processing.

CSc 491. Research Seminar (1-3)

Regular meetings focused on specific topics related to the research interests of department faculty. Current research will be discussed. Students may be required to present and review relevant publications. May be repeated for credit up to a maximum of three (3) credits. Prerequisite: Consent of instructor.

CSc 492. Independent Study (1-3)

An intensive study, with report of a topic in computer science which is not treated in other courses. May be repeated for credit. Prerequisite: Consent of instructor.

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ECE Courses

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ECE 33 Introduction to Computer Engineering (4)

1996-97

Catalog Data: Analysis, design and implementation of digital circuits. Boolean algebra. Minimization techniques, synchronous sequential circuit design, Number systems and arithmetic. Microcomputer architecture, interfacing, assembly level programming. Prerequisite: Engr 1 or CSc 17. (ES 2) (ED 2)

Textbook: Nagle Jr., Carroll, & Irwin. An Introduction to Computer Logic. Prentice Hall, 1975.

Reference(s): Class handouts.

Coordinator: M. D. Wagh, Associate Professor

Goals: To learn the elements of computer engineering including digital design, computer architecture and assembly programming.

Prerequisites by topic: Engr 1 (Engineering Computations) or CSc 17 (Structured Programming & Data Structures) or equivalent. Concept of algorithms and flow charts, elements of programming.

Topics:

1. coding of data and information in a digital computer (2 classes)
2. arithmetical operations in a computer (2 classes)
3. computer organization (2 classes)
4. Boolean algebra (4 classes)
5. analysis and design of combinational circuits (K-maps, Q-M techniques) (8 classes)
6. analysis of sequential circuits (2 classes)
7. design of synchronous sequential circuits (3 classes)
8. 8085 microprocessor organization (2 classes)
9. 8085 instruction codes and addressing modes (6 classes)
10. assembler and hand assembly, assembly (2 classes)
11. relocatable assembly (2 classes)
12. elements of operating systems (2 classes)

Projects:

1. use of an assembler and interface with the operating system
2. designing programs for reading and writing characters to a terminal
3. programming for numerical data processing
4. programming cursor control and graphics on televideo terminals

Engineering Design: 2 credits

Engineering Science: 2 credits

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ECE 81 Principles of Electrical Engineering (4)

1996-97

Catalog Data: Circuit elements and laws. Behavior of simple linear networks. Steady state and transient analysis. Impedance concepts. Characteristics of electronic devices and device models. Introduction to operational amplifiers. Principles of electromechanical energy conversion and power systems. Includes a weekly session for review and discussion. Prerequisite: Math 22. Corequisite: Phys 21. (ES 3) (ED 1)

Textbook: Paul/Nasar/Unnewehr, Introduction to Electrical Engineering, 2nd Edition, 1992, McGraw Hill.

Reference(s): Schwarz and Oldham, Electrical Engineering-An Introduction, 1984, Holt Rinehardt. Ralph J. Smith, Circuits, Devices, and Systems, Wiley.

Coordinators: D. Frey, Associate Professor; D. Brzakovic, Associate Professor

Goals: Designed to give electrical and non-electrical engineering majors an introduction to the fundamentals of electrical engineering.

Prerequisite: Math 22 (Analytical Geometry & Calculus II)

1. First order differential equations.
2. Solution of sets of simultaneous equations.
3. Static electric and magnetic fields.

1. Electrical Quantities (1 class)
2. Circuit principles and basic theorems (10 classes)
3. Signal Waveforms (2 classes)
4. Natural Response of Circuits (4 classes)
5. Forced Responses - AC Steady State (6 classes)
6. Diodes and Applications (2 classes)
7. Transistors and Circuit Models (1 classes)
8. Circuit applications (4 classes)
9. Operational Amplifiers (2 classes)
10. Three-phase Concepts (2 classes)
11. Transformers and Rotating Machines (4 classes)
12. Tests (2 classes)

Engineering Design: 1 credit

Engineering Science: 3 credits

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ECE 82 Sophomore Lab (1)

1996-97

Catalog Data: An introduction to the fundamental laboratory instrumentation and measurement techniques of electrical and computer engineering. Experiments based on the fundamental concepts discussed in the prerequisite courses. Introduction to PSPICE. Discussions of electrical components and laboratory safety. Use of an engineering notebook and report writing. One 3-hour laboratory per week. Prerequisites: ECE 33 or ECE 81, previously. (ES 0) (ED 1)

Textbook: Tuinenga, Spice - A Guide to Circuit Simulation and Analysis Using PSpice, Prentice Hall.

Reference(s): Nagel, Carroll, Irwin, An Introduction to Computer Logic, Prentice Hall and Paul, Nasar, Unnewehr, Introduction to Electrical Engineering, McGraw Hill.

Coordinator: C. S. Holzinger, Professor

Goals:

1. Students will be able to use standard laboratory instruments.
2. Students will understand the electrical characteristics of circuit elements.
3. Students will design, implement, and evaluate basic electrical and electronic circuits.
4. Students will be able to use PSPICE simulations as design aids.

ECE 33 Introduction to Computer Engineering

Laboratory Projects:

1. Analysis of an R-2R D/A ladder circuit using PSPICE.
2. Use of oscilloscope and function generator to study transient behavior of a first order system and Thevenin equivalents of such.
3. Application of Bode plots to filters.
4. DC characterization of TTL and CMOS Logic Gates.
5. Operation of Binary Counters, Buffers and LED's
6. R-2R D/A converter.
7. Conversion of D/A converter to an A/D converter.
8. Quadrature Amplitude Modulator.

Engineering Design: 1 credit

Engineering Science: 0 credits

Return to the course index or return to the EECS home page

ECE 108 Signals and Systems (4)

1996-97

Catalog Data: Continuous and discrete signal and system descriptions using signal space and transform representations. Includes Fourier series, continuous and discrete Fourier transforms, Laplace transforms, and z-transforms. Introduction to sampling. Prerequisite: ECE 81. (ES 4) (ED 0)

Textbook: L. B. Jackson, Signals, Systems, and Transforms, 1st Edition, Addison Wesley Publishers.

Reference(s): None

Coordinators: D. Brzakovic, Associate Professor; R. Blum, Assistant Professor

Goals: To teach basics of signal and system representation and the concepts and usage of transfer functions. To expose students to the mathematics of system theory.

Prerequisite: ECE 81 Principles of Electrical Engineering

Topics:

1. Continuous-Time Signals
2. Convolution
3. Continuous-Time Systems
4. Fourier Series
5. The Fourier Transform
6. Linear Filters
7. The Laplace Transform
8. Sampling Theory
9. Discrete-Time Signals and Systems
10. The Discrete-Time Fourier Transform (DTFT)
11. The Discrete Fourier Transform (DFT)
12. The z-transform
13. Digital Filters

Engineering Design: 0 credits

Engineering Science: 4 credits

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ECE 111 Proseminar (1)

1996-97

Catalog Data: A weekly seminar to acquaint students with current topics in electrical and computer engineering. Students prepare and present oral and written reports that are judged on quality and presentation as well as technical content. Prerequisite: senior standing. (ES 0.5) (ED 0.5)

Textbook: None

Reference(s): None

Coordinator: D. R. Decker, Professor

Goals: To provide a course in which students carry out independent study in an area of their own choice. To provide an opportunity for the students to gain experience in organizing and writing a technical paper, and to present an oral technical report. To expose the students to a broad spectrum of electrical engineering topics that transcend their classroom experience, including topics on Professional Ethics, Career Development, Professional Engineering Licenses, Patents and Litigation. Prerequisite: Senior standing.

Topics:

1. A random sample of talks/reports, out of about 60 topics:
2. Implementation of the vector transform
3. Oceanographic technology
4. Electric automobile
5. Encoding of music on compact disks
6. Power systems - delivery and power factor correction
7. Alternative energy update
8. Digital video interactive technology
9. Fault tolerant systems
10. Military applications of lasers
11. Anti-lock brake control systems
12. Fire/smoke alarms and detectors
13. Speech processing
14. Neural networks (pattern recognition)
15. Error correction in CD players
16. Laser and ink jet printers

Engineering Design: 0.5 credits

Engineering Science: 0.5 credits

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ECE 116 Software Engineering (3)

1996-97

Catalog Data The software life-cycle; life-cycle models; software planning; testing; specification methods; modularity; design methods; maintenance. Emphasis on team work and large-scale software systems, including oral presentations and written reports. Prerequisite: CSc17. (ES 1.5) (ED 1.5)

Textbook: Stephen Schach, "Classical and Object- Oriented Software Engineering", 3rd Ed, R. Irwin Publishers.

Reference(s): F. Carrano "Data Abstraction and Problem Solving with C++", Benjamin Cummings. (Or any book on C++.)

Coordinator: T. Boult, Associate Professor

Goals: To acquaint students with the basic concepts and major issues in software engineering. Practice some of these concepts in the design and implementation of a large team software project.

Topics:

1. Overview of Software Engineering
2. CASE tools
3. Object Oriented and other programming language features
4. Software documentation
5. Software requirements and Specifications
6. Planning a software project & cost estimation
7. Software design
8. Software verification
9. Software maintenance

Projects: Large team project involving complex data management and other technical issues.

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

Estimated CSAB Category Content:

• Programming Concepts & Languages: 2 credit
• Social Implications: 1 credits

Return to the course index or return to the EECS home page

ECE 121 Electronic Circuits Laboratory (2)

1996-97

Catalog Data: One lecture and one laboratory per week. Experiments illustrating the principles of operation of electronic devices and their circuit applications. Basic electronic instrumentation and measurement techniques. Corequisite: ECE 123. (ES 0.5) (ED 1.5)

Textbook: Tuinenga, Spice - A Guide to Circuit Simulation & Analysis Using PSpice, Prentice Hall.

Reference(s): A.S. Sedra and K.C. Smith, Microelectronic Circuits, Holt, Rinehart and Winston, 1991.

Coordinator: D. Frey, Associate Professor

Goals: To introduce the use of basic laboratory equipment such as oscilloscopes, signal generators, meters, and power supplies. To teach the students about the characteristics of real world circuit elements, both passive and active. To introduce the electronic circuit analysis program PSPICE.

Prerequisite: ECE 81 Principles of Electrical Engineering, ECE 108 Signals and Systems, ECE 125 Circuits and Systems - concurrently, ECE 123 Electronic Circuits - concurrently.

Topics:
Laboratory Projects:

1. Familiarization with laboratory equipment.
2. DC transfer characteristics of half wave rectifier.
3. Time response of half wave rectifier.
4. Voltage transfer characteristics of a zener voltage regulator.
5. Dynamic output resistance of zener voltage regulator.
6. Time response of visible and IR LED.
7. Time response of phototransistor light detector.
8. Seven segment displays.
9. Non-inverting and inverting Op Amp circuits.
10. Active half wave rectifiers.
11. Active full wave rectifier.
12. Voltage doubler and quadrupler.
13. Op Amp relaxation oscillators.
14. Triangular wave generator.
15. BJT, CE, CB and CC amplifiers, DC and AC studies.
16. Transient behavior of BJT's.
17. J-FET audio amplifier, DC and AC study.
18. Simulation of circuits with PSPICE.

Engineering Design: 1.5 credits

Engineering Science: 0.5 credits

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ECE 123 Electronic Circuits (3)

1996-97

Catalog Data: Methods for analyzing and designing circuits containing electronic devices. Topics include device models, basic amplifier configurations, operating point-stabilization, frequency response analysis, and computer-aided analysis of active circuits. Prerequisite: ECE 108. (ES 1.5) (ED 1.5)

Textbook: A.S. Sedra and K.C. Smith, Microelectronic Circuits, Oxford Press, 1991.

Reference(s): Class notes.

Coordinator: D. Frey, Associate Professor

Goals: This course provides the foundation for the analysis and design of digital and analog circuits. It further provides the student with an understanding of integrated circuits and sub-systems.

Prerequisite: ECE 108 Signals and Systems, ECE 121 Electronics Circuits Laboratory, concurrently.

Topics:

1. Review of linear circuits
2. Operational amplifiers
3. Diodes
4. Nonlinear circuit applications
5. Bipolar junction transistors
6. Junction field-effect transistors
7. Metal-oxide-semiconductor field-effect transistors
8. Transistor amplifiers and logic circuits
9. Frequency and transient response

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

Return to the course index or return to the EECS home page

ECE 125 Circuits and Systems (3)

1996-97

Catalog Data: Formulation of linear circuit equations in the time and frequency domain. Complete solutions of difference and differential equations. Network theorems. Basic stability and feedback concepts. Modulation theory, sampling theory and basic digital signal processing ideas. Prerequisite: ECE 108. (ES 2.5) (ED 0.5)

Textbook: Ambadar, Analog and Digital Signal Processing, 1st Ed., PWS

References: ECE 81 Text, ECE 108 Text.

Coordinator: C. S. Holzinger, Professor

Goals: To reinforce and extend the students' background in circuit, signal and system theory established by ECE 81 and ECE 108.

Prerequisite: ECE 108 Circuits and Systems

1. Basic circuit theory: R.L.C. elements, ideal sources, Kirchhoff's laws, impedance and admittance.
2. Linear differential equations.
3. Laplace and Fourier transforms.
4. Basic matrix theory.

1. Transform techniques (6 classes
2. Loop and node analysis (5 classes
3. Two-port parameters (5 classes
4. Delta-wye transformations (2 classes
5. Signal flow diagrams and feedback concepts (3 classes
6. Stability considerations (Includes design of feedback systems) (3 classes
7. Frequency response techniques--pole-zero diagrams, Bode plots (6 classes
8. design of simple filters
9. State variables and other solution techniques (9 classes

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 126 Fundamentals of Semiconductor Devices (3)

1996-97

Catalog Data: Introduction to the physics of semiconductors in terms of atomic bonding and electron energy bands in solids. Charge carriers in semiconductors and carrier concentration at thermal equilibrium. Principles of electron and hole transport, drift and diffusion currents, generation and recombination processes, continuity. Treatment of semiconductor devices including p- n junctions, bipolar junction transistors and field effect transistors. Prerequisite: ECE 81. (ES 2.5) (ED 0.5)

Textbook: Streetman, Solid State Electronics Devices, Prentice Hall, 1990.

Reference(s): None

Coordinators: M. K. Hatalis, Professor

Goals: The objective of this course is to introduce the student to the physics of semiconductors and to develop an understanding of the basics of semiconductor devices.

Prerequisite: ECE 81 Principles of Electrical Engineering

1. Basic electrical circuit theory.

2. Principles of electricity and magnetism.

Topics:

1. Structure of an atom and type of atomic bonds in solids.
2. Energy bands in solids, direct and indirect semiconductors.
3. Electron and holes in semiconductors, effective mass.
4. Intrinsic, extrinsic semiconductors, carrier statistics at equilibrium.
5. Compensation and space charge neutrality.
6. Drift of carriers, drift current, carrier mobility, Hall Effect.
7. Diffusion of carriers, diffusion current.
8. Recombination and generation processes, continuity equation.
9. Theory of P-Njunctions.
10. Theory of Bipolar Junction Transistors.
11. Theory of Metal Oxide Semiconductor capacitors and MOS Field Effect Transistors.

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

Return to the course index or return to the EECS home page

ECE 136 Electromechanics (3)

1996-97

Catalog Data: Two lectures and one laboratory per week. An experimental introduction to electromechanical energy conversion. Basic concepts of magnetic fields and forces and their application to electrical apparatus including electromechanical transducers, transformers, AC and DC machines. Prerequisite: ECE 81. (ES 2) (ED 1)

Textbook: Guru/Hiziroglu, Electric Machinery and Transformers, Oxford Press.

References: A. E. Fitzgerald, C. Kingsley, Jr., and S. D. Umans, Electric Machinery, 5th Edition, McGraw-Hill 1990.

Coordinator: D. R. Decker, Professor

Goals: The goals of this course are to provide a foundation for electromechanical energy conversion from basic energy functions, to provide performance knowledge of the major categories of rotating electrical machines, to develop experimental skills in electrical and mechanical measurements, and to develop laboratory design skills.

Prerequisite: ECE 81 Principles of Electrical Engineering

Topics:

1. Energy, co-energy, energy density and pressures, forces and torques.
2. Linear motion transducers.
3. Single phase transformers.
4. Induction machines.
5. Stepper motors.
6. Synchronous machines.
7. DC machines.
8. Permanent magnet machines.

Engineering Design: 1 Credit

Engineering Science: 2 Credits

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ECE 138 Digital Systems Laboratory (2)

1996-97

Catalog Data: Implementation issues and techniques for digital logic design. Combinational and sequential logic design using standard integrated circuits. I/O and interrupt processing. Design and implementation of real-time complex digital logic using microprocessor systems. Prerequisite: ECE 33. (ES 0.5) (ED 1.5)

Textbook: Laboratory Manual, Digital System Laboratory, Lehigh University.

Reference(s): Handouts

Coordinator M. D. Wagh, Associate Professor

Goals: To learn the design principles of small and large digital systems.

Prerequisites by topic: ECE 33 Introduction to Computer Engineering or equivalent elements of combinational and sequential logic, 8085 processor architecture and assembly language.

Topics:

Design and Implementation of:
1. Combinational circuits (4 labs) including multifunction implementations, implementations using multiplexers/demultiplexers, use of seven segment displays, adders, and encoders.
2. Sequential circuits (4 labs) including synchronous and asynchronous designs, use and modification of standard circuits such as counters.
3. Programmable digital circuits (3 labs) including micro processor (8085) input/output, interrupts and design of large programmable sequential or combinational circuits.

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 0.5 credits

Return to the course index or return to the EECS home page

ECE 162 Electrical Laboratory (1)

1996-97

Catalog Data: Experiments on circuits, machines, and electronic devices. Elementary network theory. Survey laboratory for students not majoring in electrical or computer engineering. Prerequisite: ECE 81. (ES 1) (ED 0)

Textbook: ECE 162 Electrical Laboratory Lab Notes by C. T. Adomshick, revised 1994 by H. Mecklai and E. Thompson.

References: C. R. Paul, S. A. Nasar, and L. E. Unnewehr, Introduction to Electrical Engineering, 2nd Edition, Mc-Graw Hill, 1992.

Coordinator W. Li, Associate Professor

Goals: The goals are to familiarize the students with basic electrical measurements and to provide a basic understanding of electrical components.

Prerequisite ECE 81 Principles of Electrical Engineering

Topics:

1. Network theory, Norton and Thevenin Equivalents, Linear Superposition.
2. Transient response.
3. AC response, active and passive filters.
4. Diode, Transistor, and Op Amp characteristics.
5. Transformers.
6. DC Motors and generators, stepper motors.
7. Optoelectronic devices.
8. Digital and logic circuits.

Engineering Design: 0 Credits

Engineering Science: 1 Credit

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ECE 201 Computer Architecture (3)

1996-97

Catalog Data: Structure and function of digital computers. Computer components and their operations. Computer interconnection structures. Memory system and cache memory. Interrupt driven input/output and direct memory access. Instruction sets and addressing modes. Instruction pipelining. Floating-Point representation and arithmetic. Alternative architectures: RISC vs. CISC and introduction to parallel architectures. Prerequisite: ECE 33. (ES 1.5) (ED 1.5)

Textbook: W. Stallings, Computer Organization & Architecture, 3rd Edition, Addison Wesley, 1994.

Coordinator: R. Wallace

Goals: Understanding of Computer Structures and functions.

Prerequisites: ECE 33 Introduction to Computer Engineering. Binary Number System. 2's complement representation/arithmetic. Boolean Algebra. Combinational Circuits. Introduction to Sequential Circuits. Timing Diagrams. Knowledge of an assembly language.

Topics:

1. Computer generations. (1 lecture)
2. Von Neumann architecture, computer functions and interconnection structure. Emphasis on bus interconnection: handshake and arbitration protocols. (7 lectures)
3. Memory Hierarchy: characteristics, main memory (RAM, DRAM, ROM, etc.) memory module organization, cache memory (principles, organization, replacement algorithms and write policies), and a quick look at external memory (magnetic disk, magnetic tape and optical memory). (9 lectures)
4. Input/Output: function and structure of an I/O module, I/O operation techniques (Programmed I/O, interrupt driven I/O and DMA), external interface (parallel/serial, synchronous/asynchronous). (7 lectures)
5. Computer Arithmetic: integer representation and arithmetic (2's complement multiplication and division), floating-point representation and arithmetic. (7 lectures)
6. Instruction Sets: characteristics, functions, addressing modes and formats. (4 lectures)
7. CPU Structure: organization, instruction cycle and instruction pipelining. (4 lectures)
8. Control Unit: micro-operations, hardwired implementation and microprogrammed control. (1 lectures)

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

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ECE 202 Introduction to Electromagnetics (3)

1996-97

Catalog Data: Elements of vector analysis, Coulomb's law, Biot-Savart's and Ampere's laws, Lorentz Forces, Laplace's and Maxwell's equations, boundary conditions, methods of solution in static electric and magnetic fields, including finite element numerical approach. Quasistationary fields, inductance. Prerequisite: Math 205, Phys 21. (ES 3) (ED 0)

Textbook: D. K. Cheng, Fundamentals of Engineering Electromagnetics, 1st Edition, 1993, Addison-Wesley Publishers.

Coordinator: D. Christodoulides, Associate Professor

Supplemental

Text: N. Eberhardt, Fundamentals of Electromagnetics: Lecture notes and Workbook.

Goals:

1. To teach the theoretical foundations of the majority of areas classified under Electrical Engineering.
2. To develop the physical concepts of Electro-Magnetism and train the ability to translate these concepts into mathematical form.
3. Emphasis is on working knowledge of EM-theory, not on completeness.

Topics:

1. Coulomb field.
2. Superposition of Coulomb fields.
3. Coulomb integration.
4. Gauss' Law and applications.
5. Poisson and Laplace Equations.
6. Lorenz force law.
7. Biot-Savart's law and Integration over distributed currents.
8. Magnetic forces on current carrying conductors.
9. Some magnetic and electric boundary conditions.
10. Resistive network analogies in the solution of static field problems.
11. Maxwells equations.
12. Self and mutual inductance.

Estimated ABET Category Content:

Engineering Design: 0 credits

Engineering Science: 3 credits

Note: It is not possible to list separate topics under the "design" category. Most points have design contents. Examples: In 12) inductors are designed, in 6) forces on current carrying conductors are computed, an important point in the design of transformers, 10) gives a design tool for current distribution in solid state devices.

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ECE 203 Introduction to Electromagnetic Waves (3)

1996-97

Catalog Data: Uniform plane waves in free space and in materials, skin effect. Waves in transmission lines and waveguides, including optical fibers. Energy and power flow, Poynting's theorem. Reflection and refraction. Resonators. Radiation and diffraction. Prerequisite: ECE 202. (ES 2.5) (ED 0.5)

Textbook: D. K. Cheng, Fundamentals of Engineering Electromagnetics, 1st Edition, 1993, Addison-Wesley Publishers.

Coordinator: D. Christodoulides, Associate Professor

Goals: Designed to convey a working knowledge in applied electromagnetic theory and to introduce to engineering applications such as transmission line circuits, waveguides, resonators, antennae, as well as applications in optical communications.

Prerequisite: ECE 202 or equivalent. Students should be familiar with basic equations of electromagnetic fields and mathematics - covering vector analysis and elementary complex variables.

Topics:

1. Maxwell's equations, displacement current, boundary conditions.
2. Time harmonic fields, wave equations, vector and scalar potentials.
3. Plane waves, polarization, waves in lossy media and conductors.
4. Poynting's vector theorem.
5. Reflections, Refraction, Fresnel equations.
6. Transmission lines, distributed parameters, current and voltage equations.
7. Wave characteristics of finite transmission lines. (1 week design)
8. Hertzian dipole and thin linear antennas.
9. Radiation patterns, Arrays. (1/2 week design)
10. Modes in rectangular waveguides. (1/2 week design)

Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 212 Control Theory (3)

1996-97

Catalog Data: Introduction to feedback control. Dynamic analysis of linear feedback systems in the time and frequency domain, with emphasis on stability and steady-state accuracy. Major analytical tools: signal-flow graphs, root-locus methods, Nyquist plot, Bode analysis. Cascade compensation techniques. Prerequisite: ECE 125. (ES 2) (ED 1)

Textbook: B. Kuo, Automatic Control Systems, 6th Edition, Prentice Hall.

Reference(s): Any standard control system text such as Dorf.

Coordinator:

Goals: To present the basic concepts, analysis, and design of feedback control systems. To develop models for system components that consider the interaction of electrical, mechanical, hydraulic, etc. components in physical systems. To develop and apply analytical and graphical techniques to evaluate time and frequency domain responses. To apply the various techniques to system compensator design.

Prerequisite: ECE 125 Circuits and Systems

1. Laplace transforms
2. State variable concepts

Topics:

1. Introduction, review of Laplace transform techniques.
2. Models of system components in s-plane.
3. Systems modeling; Intro to CC.
4. Steady state error.
5. Transient response analysis.
6. Stability considerations--Routh-Hurwitz Nyquist criteria.
7. Root-loci--construction rules and analysis.
8. Frequency domain methods--Bode, Nyquist, Nichols.
9. Cascade compensator design.

Engineering Design: 1 credit

Engineering Science: 2 credits

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ECE 251 Senior Project I (2)

1996-97

Catalog Data: This capstone course integrates the knowledge and experience acquired in previous and concurrent courses. Emphasis is on design, implementation, test and evaluation of an engineering project in any of the diverse areas of electrical and computing engineering and computer science consistent with the abilities of the student and departmental resources. A written project proposal, periodic progress reports, a final project report, and a project demonstration are required. Prerequisite: Senior standing. (ES 0.5) (ED 1.5)

Textbook: None

Reference(s): Course texts, manufacturers data books, vendor catalogs, various handbooks.

Coordinator: W. Li, Associate Professor

Goals: To provide an opportunity for the student to do a complete design project from conceptualization through to performance evaluation. To provide a practical, cumulative focus for material learned in the first 3+ years of course work and other laboratories.

Prerequisite: Senior standing; must have background appropriate to the type of project selected.

Topics:
Topics vary depending upon the student and his advisor. Students from the three majors, CpE, CSc, and EE tend to do software and hardware projects such as language translators, compilers, speech recognition, speech synthesis, data encoding, data transmission, robot control, digital filters, and computer graphics. Many projects use the Personal Computer and the Microprocessor for control of and input from special hardware circuits. Some projects each semester are drawn from local industry.

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 0.5 credits

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ECE 252 Senior Project II (2)

1996-97

Catalog Data: Same as ECE 251. May be used to substitute for ECE 251 for those students not following the normal schedule. Also serves as a continuation for those projects beyond the scope of a one semester course. Two-three hour sessions per week. Prerequisite: Senior standing. (ES 0.5) (ED 1.5)

Textbook: None

Reference(s): Course texts, manufacturers data books, vendor catalogs, various handbooks.

Coordinator: K. H. Norian, Associate Professor

Goals: This laboratory course permits students to work on an approved project for an entire semester. It fosters a closer understanding of the theoretical background as coupled to real-life applications of these concepts.

Prerequisite: Senior standing.

Topics:
See ECE 251.

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 0.5 credits

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ECE 254 Microwave-Lightwave Laboratory (2)

1996-97

Catalog Data: Basic microwave and optical measurement techniques, design procedures and practical concepts. Practical aspects of fiberoptics, optical transmission, and modulation. Two-three hour sessions per week. Co-requisite: ECE 346. (ES 1) (ED 1)

Textbook: No Text. Notes used.

Reference(s): none

Coordinator:

Goal: To provide practical experience in experimental work, on the optical table for students in ECE 348 and with microwave circuits for students in ECE 346.

Prerequisite/

Co-requisite: ECE 346 Microwave Circuits and Techniques or ECE 348 Lightwave Technology

Facilities: Microwave sweep generators, power meters, detectors, a network analyzer, waveguide components and facilities to fabricate simple stripline circuits. A workstation with software is available for stripline circuit design. For optical work: 4x8 foot optical table with standard components, He-Ne and semiconductor lasers, electro-optic modulators, acousto-optic Bragg cell. Optical fibers, splicing tools, couplers, power meter, time domain reflectometer.

Topics:

1. Properties of microwave sources
2. Impedance/Admittance measurements
3. S-parameter measurements
4. Computer aided design of microstripline circuits
5. Polarization of light
6. Electro-optic modulation
7. Acousto-optic modulation
8. Coupling into optical fibers
9. Time domain reflectometry

Estimated ABET Category Content:

Engineering Design: 1 credit

Engineering Science: 1 credit

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ECE 256 Honors Project (1)

1996-97

Catalog Data: Open by invitation only to students who have completed ECE 251 Senior Project. Selection is based upon the quality of the senior project with regard to ingenuity, design approach and completeness. The objective of this course is to carry the successful senior projects forward to completion of a technical paper suitable for publication or submission to a technical conference. A written paper and oral presentation are required by mid-semester. Oral presentations will be made before an appropriate public forum. Enrollment limited. (ES 0) (ED 0)

Textbook: N/A

References: N/A

Co-ordinator: K. Norian, Associate Professor

Goals: To achieve competition quality or publishable papers based on project work.

Prerequisite: ECE 111 Proseminar, ECE 251 Senior Project I

Topics: Anything of interest to students in electrical engineering, computer engineering or computer science. A sample of recent papers includes:

Engineering Science: 0 credits

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ECE 308 Physics and Models of Electronic Devices (3)

1996-97

Catalog Data: Physics of metal-semiconductor junctions, p-n junctions, and MOS capacitors. Models of Schottky barrier and p-n junction diodes, JFET's, MOSFET's and bipolar transistors. Prerequisite: ECE 126. (ES 2) (ED 1)

Textbook: R. S. Muller and T. I. Kamins, Device Electronics for Integrated Circuits, 2nd Edition, Wiley, 1986.

References: S. M. Sze, Physics of Semiconductor Devices, 2nd Ed., Wiley, 1981.

R. F. Pierret, Semiconductor Device Fundamentals, Addison Wesley, 1996.

Coordinator: F. Hielscher, Professor

Goals: The goals of this course are to provide a physical foundation for semiconductor device operation and to develop from these foundations models which simulate device performance.

Prerequisite: ECE 126 Fundamentals of Semiconductor Devices.

Topics:

1. Semiconductor physics review.
2. Semiconductor technology.
3. Metal-semiconductor contacts, Ohmic contacts, Schottky barriers, Debye length, surface states, tunneling.
4. p-n junctions, quasi-neutral and depletion approximations, junction capacitance, junction breakdown.
5. Recombination physics.
6. P-n junction currents, quasi-equilibrium approximation, space charge current, charge storage and diffusion capacitance, injection efficiency.
7. Bipolar transistors: operation regions, current gain, charge storage, Ebers-Moll model, Early effect, high-level effects, base resistance.
8. Charge control model, Gummel-Poon model, small-signal model of bipolar transistors.
9. Metal-oxide-semiconductor physics and MOS capacitors.
10. MOSFET Theory and Models.
Estimated ABET Category Content:

Engineering Design: 1 Credit

Engineering Science: 2 Credits

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ECE 316 Microcomputer System Design (3)

Spring

1996-97

Catalog Data: Content is primarily hardware oriented, but software issues are covered where required. Includes performance characteristics of the more popular devices on the market today. Specific topics include: basic microcomputer structure, bus interconnections, memory systems, serial and parallel interfacing, CRT controllers, interrupt structures, DMA. Prerequisite: ECE 33. (ES 0.5) (ED 2.5)

Textbook: Manufacturers data sheets, plus many other handouts.

Reference(s): Set of manuals from Intel Corporation.

Coordinator: C. S. Holzinger, Professor

Goals: To introduce the real world problems associated with the hardware design of microcomputer systems.

Prerequisite:

1. Basic assembly language.
2. Operation of simple logic gates.
Topics:
1. Representative 8 and 16 bit microprocessors, with coprocessor.
2. Detailed study of timing diagrams.
3. Keyboard scanning.
4. Parallel and serial ports.
5. Programmable interval timers.
6. Programmable interrupt controllers.
7. Static and dynamic RAMS, ROMS, PROM, etc.
8. Video operation.
9. Disk controllers.
10. DMA controller.
11. Paper design project.
Estimated ABET Category Content:

Engineering Design: 2.5 credits

Engineering Science: 0.5 credits

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ECE 319 Digital System Design (3)

Fall

1996-97

Catalog Data: Design techniques at the register transfer level. Control strategies for hardware architectures. Implementation of microprogramming, intersystem communication and peripheral interfacing. Hardware design languages and their use in design specification, verification and simulation. Prerequisite: ECE 138. (ES 0) (ED 3)

Textbook: Handouts by instructor.

Reference(s): F. J. Hill and G. R. Peterson, Digital Systems: Hardware Organization and Design, Wiley.

Coordinator: M. Wagh, Associate Professor

Goals: To teach Computer Engineering students the principles of register transfer level design and various control strategies and to expose them to the use of hardware design languages for expressing and simulating their designs.

Prerequisite: ECE 138 Digital Systems Laboratory

Topics:

1. Digital System building blocks such as registers, adders, multiplexers, encoders and bus
2. Development of a digital system design, role of a hardware design language
3. Fundamentals of hardware design languages, hardware compilers, simulation
4. Describing and simulating digital systems in SLSL, a hardware design language developed at Lehigh
5. Various adder architectures seen as large digital systems, design trade-offs between hardware complexity and time
6. Standard multiplier and its various modifications, design trade-offs between the hardware complexity and control complexity
7. Control strategies for large digital systems and their implementation through dedicated control and microcoding
8. Intersystem communication and scheduling of system resources
9. Interfacing a digital system to an external peripheral with specified characteristics
10. Design issues in development of very large digital systems such as microprocessors, control strategies for multiple instruction machines
Laboratory

Projects: None

Estimated ABET Category Content:

Engineering Design: 3 credits

Engineering Science: 0 credits

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ECE 320 Logic Design (3)

Spring

1996-97

Catalog Data: Review of basic switching theory, vector Boolean algebra, canonical implementations of medium size circuits, threshold logic, fault detection in combinational and sequential logic, Multivalued and Fuzzy logic, regular expressions, nondeterministic sequential machines. Prerequisite ECE 33. (ES 1.5) (ED 1.5)

Textbook: Handouts by the instructor

Reference(s): E. J. McCluskey, Logic Design Principles: With Emphasis on Testable Semicustom Circuits, Prentice Hall, 1986.

Coordinator: M. D. Wagh, Associate Professor

Goals: This course is designed to expose students in Computer Engineering and Electrical Engineering to the analysis and design principles of medium level logic circuits.

Prerequisites by topic: Boolean algebra, minimization techniques, analysis and design of sequential circuits, elements of propositional logic.

Topics:

1. Vector Boolean algebra and canonical implementation (6 classes)
2. Monotonic, Unate, symmetric functions (4 classes)
3. Threshold functions and implementations using threshold functions (6 classes)
4. Functionally complete function sets (2 classes)
5. Fault detection in combinational logic (9 classes)
6. Substitution property partitions and application to state assignment (5 classes)
7. Serial and parallel decomposition of sequential machines (5 classes)
8. Fault detection in sequential logic (5 classes)
Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

Estimated CSAB Category Content:

• Computer Theory: 1.5 credits
• Computer Elements & Architecture: 1.5 credits

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ECE 332 Design of Linear Electronic Circuits (3)

Spring

1996-97

Catalog Data: Introduction to a variety of linear design concepts and topologies, with contemporary audio networks providing many of the concrete examples. Topics include low-and high-level preamps; equalizers and filters; mixers; voltage-controlled amplifiers; input and output stage modifications; power amplifiers; analog switching and digital interface circuitry. Prerequisite: ECE 125 and ECE 355. (ES 1) (ED 2)

Textbook: S. Franco, Design With Operational Amplifiers and Analog Integrated Circuits, 2nd Edition, McGraw Hill.

Reference(s): None

Coordinator: D. Frey, Associate Professor

Goals: To give students exposure to a variety of linear design tools from a circuit designer's standpoint. By looking at a number of example designs the students gain sophistication and confidence as designers.

Prerequisite: ECE 355 Applied Integrated Circuits

Topics:

1. Preamp design including DC, noise, and GBP limitations
2. Filter and equalizer design and analysis
3. Transistor enhancement of Op Amp circuitry
4. Non-linear circuits
5. VCA's and AGC circuitry
6. Analog switching and programmable circuits
7. Power amplifiers
Projects: Each student completes an individual design project.

Estimated ABET Category Content:

Engineering Design: 2 credits

Engineering Science: 1 credits

Note: Students are taught everything in this course from the perspective, "How can we design this to do the following.." Each topic above includes a strong design component.

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ECE 333 Medical Electronics (3)

Fall

1996-97

Catalog Data: Bioelectric events and electrical methods used to study and influence them in medicine, electrically excitable membranes, action potentials, electrical activity of muscle, the heart and brain, bioamplifiers, pulse circuits and their applications. Prerequisites: ECE 123 or equivalent. (ES 2.5) (ED 0.5)

Textbook L. A. Geddes and L. E. Baker, Principles of Applied Biomedical Instrumentation, 3rd Edition, 1989, J. Wiley, New York, Chapters 1, 9, 10, 12.

References: 1. J. G. Webster, Editor, Medical Instrumentation, Application and Design, 2nd Edition, 1992.

2. R. Plonsey and R. C. Barr, Bioelectricity, A Quantitative Approach, 1991, Plenum, New York, Chapters 1,2,3,4,5,7.

3. C. L. Thomas, Editor, Taber's Cyclopedic Medical Dictionary, 17th Edition, 1989, F. A. Davis, Philadelphia.

Coordinator: K. H. Norian, Associate Professor

Goals: The objective of this course is to introduce the student to the theory of biopotentials and the electrical methods used in their study.

Prerequisites: ECE 126 Fundamentals of Semiconductor Devices

Topics:

1. membranes, origins of bioelectricity, sensory and motor nerves.
2. and propagation of action potentials, dipole theory, volume conductor fields for nerve and muscle fiber.
3. amplifiers (design).
4. Clinical electromyography.
5. Impulse forming and conducting system of the heart, electrocardiography (design), abnormal cardiac rhythms.
6. Neuroanatomy, electroencephalography.
7. Electrical stimulation of tissue, pulse generator circuits (design).
8. Past speaker.
topics: Instrumentation for laparoscopy.

Instrumentation for critical care.

Neuroanatomy and artificial intelligence.

Demonstration of electrocardiography, oxymetry and defibrillation equipment.

Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 340 Adaptive Signal Processing (3)

Spring

1996-97

Catalog Data: Introduction to the uses and practice of modern adaptive signal processing. Theory and design of discrete-time optimum linear filters and adaptive filters. AR, MA, and ARMA processes are introduced. Common adaptive filtering algorithms are derived and discussed for transversal and ladder structures, including, LMS, Least Squares, and RLS algorithms. Kalman filtering is introduced with some applications. Some programming will be required, using preferably Maple or Matlab. Prerequisites: ECE 125, and Math 231 or Math 309. (ES 2.5) (ED 0.5)

Textbook: S. T. Alexander, Adaptive Signal Processing; Theory Applications, Springer Verlag, 1986

Coordinator: Douglas Frey. Associate Professor

Goals: Teach understanding of modern adaptive filters.

Prerequisites: ECE 125 and Math 231 or 309.

Topics:

1. Basic concepts behind adaptive filtering
2. Applications of adaptive filters--e.g., Linear predictive coding, deconvolution, line equalization, and echo cancelers. (1 week design)
3. Digital transversal filters
4. Mean square error definition, minimization, and Optimum filtering
5. Autoregressive, moving average, and ARMA processes
6. Forward and backward prediction
7. Forward prediction error filters
8. Durbin's algorithm and lattice filters
9. LMS algorithm and convergence properties (1/2 week design)
10. Least squares and RLS algorithm (1/2 week design)
11. Lattice LMS filter
12. Kalman filters (1/2 week design)
13. IIR adaptive filtering
Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 342 Communication Theory (3)

Spring

1996-97

Catalog Data: Theory and application of analog and digital modulation. Sampling theory with application to analog-to-digital and digital-to-analog conversion techniques. Time and frequency division multiplexing. Introduction to random processes including filtering and noise problems. Introduction to statistical communication theory with primary emphasis on optimum receiver principles. Prerequisites: ECE 125 and Math 309 or Math 231. (ES 2.5) (ED 0.5)

Textbook: B. P. Lathi, Modern Digital and Analog Communication Systems, 2nd Edition, Holt, Rinehart, and Winston.

Reference(s): F. G. Stremler, Introduction to Communication Systems. Addison Wesley, 1990.

S. Haykin, Communication Systems, 1983.

A. B. Carlson Communication Systems, McGraw-Hill, New York, 1968.

Coordinators: R. Blum, Assistant Professor; D. Brzakovic, Associate Professor

Goals: Introduce seniors and graduate students in electrical and computer engineering to the basic communication concepts. This includes both deterministic and statistical analysis.

Prerequisite: ECE 125 Circuits and Systems and Math 309 Theory of Probability or Math 231 Probability and Statistics.

1. Analog circuit analysis
2. Fourier and Laplace transforms
3. Spectral analysis
4. System theory
Topics:
1. Signal Analysis and Transmission
   1. Review of Fourier series and transform
   2. Distortion in transmission
   3. Spectral Density
2. Digital Communications
   1. Sampling, quantization, PCM
   2. Pulse shaping, line coding
   3. Detection error probability
3. Analog Communications
   1. Baseband and carrier communications
   2. AM, DSB, SSB, VSB
   3. Angle modulation (FM and PM)
   4. Interference and noise in AM and angle modulation
   5. Superheterodyne AM receiver, FM receiver, television and HDTV
Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 343 Digital Signal Processing (3)

Fall

1996-97

Catalog Data: Study of orthogonal signal expansions and their discrete representations, including the Discrete Fourier Transform and Walsh-Hadamard Transform. Development of fast algorithms to compute these, with applications to speech processing and communication. Introduction to the z-transform representation of numerical sequences with applications to input/output analysis of discrete systems and the design of digital filters. Analysis of the internal behavior of discrete systems using state variables for the study of stability, observability and controllability. Prerequisite: ECE 108. (ES 2.5) (ED 0.5)

Textbook: Oppenheim and Schafer, Discrete Time Signal Processing, 1989, Prentice Hall

Reference(s): Handout notes.

Coordinators: R. Blum, Assistant Professor; B. Fritchman, Professor

Goals: Introduce seniors and graduate students in electrical and computer engineering to basic concepts in the analysis, design and implementation of digital signal processing.

Prerequisite: ECE 108 Signals and Systems

1. Fourier series and transforms
2. Laplace transform
3. z-transforms
4. Introduction to sampling
Topics:
1. Description of digital sequences
2. Discrete-time convolution
3. z-transforms
4. Digital-equivalent filter design (4 weeks)
5. Discrete Fourier transforms
6. FFT (2 weeks)
Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 344 Statistical Signal Processing (3)

Spring

1996-97

Catalog Data: Introduction to random processes, covariance and spectral density, time average, stationarity, and ergodicity. Response of systems to random inputs. Sampling and quantization of random signals. Optimum filtering, estimation, and hypothesis testing. Prerequisite: Math 231 or Math 309 and ECE 108. (ES 2.5) (ED 0.5)

Textbook: Shanmugan & Breipohl, Random Signals: Detection, Estimation and Data Analysis, 1988, John Wiley Publishers.

Reference(s):

Coordinator: R. Blum, Assistant Professor

Goals: This is a fundamental course which could be extremely useful to any student interested in advanced study or employment in fields related to signal processing, communication systems, control systems, networking, coding, or systems engineering.

Prerequisite: An undergraduate course in probability (Math 231 or Math 309) and one in signals and systems ( ECE 108).

Topics:

1. Brief review of probability theory and random variables.
2. Random processes.
3. Covariance and Spectral Density.
4. Time averages, stationarity and ergodicity.
5. Sampling and quantization of random signals.
6. System response to random inputs.
7. Linear estimation and filtering theory.
8. Some important random process models.
9. System level design issues. (2 1/2 weeks design)
Estimated ABET Category Content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 345 Speech Synthesis and Recognition (3)

Spring

1996-97

Catalog Data: Application of digital technology to generation and recognition of speech by machines. The analytical tools required for digitizing and encoding speech signals; the methods currently used for synthesizing and recognizing speech; various hardware products available to perform these tasks. Prerequisites: ECE 108. (ES 1) (ED 2)

Textbook: L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice-Hall.

Reference(s):

Coordinator: C. S. Holzinger, Professor

Goals: This course is designed to give seniors and graduate students a detailed working knowledge of both the analytical means, and the characteristics of currently available devices, as they relate to the synthesis and recognition of speech.

Prerequisite:

1. Basic circuit theory
2. Laplace and Fourier transforms
3. Statistics
Topics:
1. Review of z-transforms and digital filters.
2. Fundamentals of digital speech processing.
3. Digital models for the speech signal.
4. Time-domain methods for speech processing.
5. Digital representation of the speech waveform.
6. Linear predictive coding of speech.
7. Hidden Markou models.
8. Dynamic time warping.
9. Vector quantization.
10. Commercially available speech processing IC's.
Estimated ABET Category Content:

Engineering Design: 2 credits

Engineering Science: 1 credit

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ECE 346 Microwave Circuits and Techniques (3)

Spring

1996-97

Catalog Data: Impedance transformation along waveguides. Matching techniques. Applications of Smith Chart. Resonators as circuit elements. Scattering and transfer matrices. S-parameter design of transistor amplifiers. Stability. Noise. Reflection type amplifiers. Prerequisite: ECE 203 or equivalent. (ES 1) (ED 2)

Textbook: D. M. Pozar, Microwave Engineering, Prentice Hall.

Reference(s): Hewlett Packard, Application Note 154, S-Parameter Design, various other handouts.

Coordinator:

Goals: To enable the student to understand and apply to circuit design the theoretical concepts encountered in the area of microwaves. To practice some of the design procedures. To give an overview of the measurement techniques included and the most important microwave devices.

Prerequisite: ECE 203 Introduction to Electromagnetic Waves or equivalent.

1. Theory of time varying electromagnetic fields
2. Linear algebra

Topics:
1. Impedance transformation along transmission lines.
2. Smith Chart and its applications to circuit design.
3. Quarter wave transformers and tapers.
4. Resonators as circuit elements.
5. S-parameters and their determination.
6. Properties of linear networks as described by S-parameters.
7. The flow chart approach (Mason's Rule).
8. Design optimization of microwave transistor amplifiers.
9. Stability and noise of microwave transistor amplifiers.
Estimated ABET Category Content:

Engineering Design: 2 credits

Engineering Science: 1 credit

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ECE 347 Introduction to Integrated Optics (3)

Fall

1996-97

Catalog Data: Theory of dielectric waveguides (ray and wave approach). Modes in planar slab optical guides and in waveguides with graded index profiles. Coupled-mode formalism and periodic structures. Coupling of optical beams to planar structures. Switching and modulation of light in dielectric guides: phase, frequency and polarization modulators; electro-optic, acousto-optic and magneto-optic modulators. Semiconductor lasers. Fabrication of semiconductor components. Recent advances. Prerequisites: ECE 202 and ECE 203. (ES 3) (ED 0)

Textbook: R. G. Hunsperger, Integrated Optics: Theory and Technology, Springer/Verlag, 1984.

Reference(s): T. Tamir, Integrated Optics, Springer/Verlag, 1979.

Coordinator: D. Christodoulides, Associate Professor

Goals: This course is designed to introduce Electrical Engineering students in the area of Integrated Optics.

Prerequisite: ECE 202 Introduction to Electromagnetics

ECE 203 Introduction to Electromagnetic Waves

Topics:

1. General introduction (1 week)
2. Ray approach to describe waveguides (1 week)
3. Wave theory of dielectric waveguides (2 weeks)
4. Fabrication techniques (1/2 week)
5. Losses in waveguides (1/2 week)
6. Coupling light to planar guides (1 week)
7. Coupled mode theory (2 weeks)
8. Periodic structures (2 weeks)
9. Electro-optic/acousto-optic modulators (2 weeks)
10. Semiconductor lasers (2 weeks)
Estimated ABET category content:

Engineering Design: 0 credit

Engineering Science: 3 credits

Return to the course index or return to the EECS home page

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ECE 348 Lightwave Technology (3)

Spring

1996-97

Catalog Data: Overview of optical fiber communications. Optical fibers, structures and waveguiding fundamentals. Signal degradation in fibers arising from attenuation, intramodal and intermodal dispersion. Optical sources, semiconductor lasers and LEDs. Rate equations and frequency characteristics of a semiconductor laser. Coupling efficiency of laser diodes and LEDs to single-mode and multimode fibers. Photodetectors, pin and avalanche. Optical receiver design. Transmission link analysis. Prerequisite: ECE 203. (ES 2) (ED 1)

Textbook: G. Keiser, Optical Fiber Communications, 2nd Edition, McGraw Hill Publishers.

Coordinator: D. Christodoulides, Associate Professor

Goals: To introduce various aspects of Lightwave Technology and Optoelectronics. To make the student familiar with optoelectronic devices and optical waveguide structures and to develop a basic understanding of optical fiber communication systems.

Prerequisite: ECE 203 Introduction to Electromagnetic Waves

Topics:

1. Wave equations, Ray optics.
2. Theory of the step-index optical fiber.
3. Linearly polarized modes, Gaussian approximation. (1 week design)
4. Signal degradation in optical fibers, attenuation and dispersion.
5. Coupling efficiency of LEDs and Lasers to optical fibers. (1 week design)
6. Theory of pin and APD photodetectors. (1 week design)
7. Theory of laser diodes, stimulated emission. (1 week design)
8. Rate equations, frequency response of laser diodes.
9. Erbium-doped fiber amplifiers.
10. Digital receiver. (1 week design)
Estimated ABET Category Content:

Engineering Design: 1 credit

Engineering Science: 2 credits

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ECE 351 Microelectronics Technology (3)

Fall

1996-97

Catalog Data: Technology of semiconductor devices and of integrated circuits, including crystal growth and doping, phase diagrams, diffusion, epitaxy, thermal oxidation and oxide masking, lithography. The major emphasis will be on silicon technology with additional lectures on GaAs technology. Prerequisites: ECE 126 and Phys 31. (ES 2) (ED 1)

Textbook: W. R. Runyan and K. E. Bean, Semiconductor Integrated Circuit Processing Technology.

References: S. K. Ghandhi, VLSI Fabrication Principles, Wiley 1983.

W. S. Ruska, Microelectronic Processing, McGraw-Hill 1987.

G. Anner, Planar Processing Primer, 1st edition, VanNostrand Reinhold, 1990.

Coordinator: M. Hatalis, Professor

Goals: The goals of this course are to provide the student with the foundations for the basic processing technologies in the fabrication of integrated circuits, to provide an understanding of the relationship between the processing parameters and equivalent circuit parameters, and to provide a basis for integrated circuit design rules.

Prerequisites: ECE 126 Fundamentals of Semiconductor Devices and Phys 31 Introduction to Quantum Mechanics.

Topics:

1. Processing Overview
2. Wafer production and evaluation
3. Phase diagrams
4. Thermal oxidation
5. Diffusion
6. Double diffused bipolar transistors
7. Ion implantation, radiation damage and annealing
8. Physical vapor deposition
9. Chemical vapor deposition, epitaxial silicon
10. Etching, selective etching
11. Photoresist systems and their performances
12. Optical and electron beam lithography
13. Design rule fundamentals
Estimated ABET Category Content:

Engineering Design: 1 credit

Engineering Science: 2 credits

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ECE 355 Applied Integrated Circuits (3)

Fall

1996-97

Catalog Data: Emphasis on understanding of terminal characteristics of integrated circuits with excursion into internal structure only as necessary to assure proper utilization in system design. Classes of devices studied include operational amplifiers, linear multipliers, modulators, and phase-locked loops. Prerequisites: ECE 108 and ECE 123. (ES 0.5) (ED 2.5)

Textbook: Xeroxed notes.

Reference(s): Many handouts.

Coordinator: C. S. Holzinger, Professor

Goals: This course is designed to give seniors and graduate students the necessary background to be able to analyze and design circuits containing Analog Integrated circuits, including, Op Amps, phase-locked loops, multipliers, modulators. Simulation using PSPICE.

Prerequisite: ECE 108 Signals and Systems and ECE 123 Electronic Circuits

1. Basic circuit theory
2. Laplace transforms
3. Basic transistor circuit theory
Topics:
1. Ideal Op Amp.
2. Finite gain bandwidths.
3. Finite input, output impedances.
4. Common mode rejection ratios.
5. Power supply rejection ratios.
6. Input offset voltages and bias and offset currents.
7. Effective shielding and grounding.
8. Slew rate limiting.
9. Circuit stability and oscillators.
10. Noise.
11. Multipliers, circuits and applications.
12. Modulators, circuits and applications.
13. Phase-locked loops.
Estimated ABET Category Content:

Engineering Design: 2.5 credits

Engineering Science: 0.5 credits

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ECE 361 Introduction to VLSI Circuits (3)

Fall

1996-97

Catalog Data: The design of Very Large Scale Integrated circuits, with emphasis on CMOS standard Cell design. Topics include MOS transistor physics, device behavior and device modeling, MOS technology and physical layout, design of combinational and sequential circuits, static and dynamic memories, and VLSI chip organization. The course includes a design project using CAE tools for layout, design rule checking, parameter extraction, and of SPICE simulations for performance prediction. Two one-hour lectures and three hours of laboratory per week. Prerequisite: ECE 123. (ES 1.5) (ED 1.5)

Textbook: Weste & Eshraghian, Principles of CMOS VLSI Design, 2nd Ed., Addison-Wesley, 1993.

Coordinator: F. Hielscher, Professor.

Goals: The design of Very Large Scale Digital Integrated Circuits.

Prerequisites: Senior Standing.

Topics:

1. MOS physics and IV characteristics.
2. Analysis of simple inverters, definitions of logic levels and noise margins. Pass transistors and transmission gates.
3. SPICE circuit simulation.
4. MOS Technology and layout design rules (1 week design).
5. Extraction of device parameters and parasitic capacitances (1 week design).
6. Determination of propagation delay times; power dissipation (1 week design).
7. Design of MOS gates, sequential circuits, and memories (2 weeks design).
8. Design of standard cells (1 week design).
9. Systems design issues (1 week design).
Computer Usage: Use of UNIX-based workstations for layout, design rule checking, parameter extraction, and SPICE circuit simulators.

Laboratory

Project: The design and verification of a CMOS standard cell.

Estimated ABET Category Content:

Engineering Design: 1.5 credits

Engineering Science: 1.5 credits

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ECE 362 Introduction to VLSI System Design (3)

Spring

1996-97

Catalog Data: Structured hierarchical approach to the design of digital VLSI circuits and systems. Use of CAE tools for design and verification. Topics include: Systems aspects of VLSI design, design methodologies, schematic capture, functional verification, timing simulation, use of a CMOS standard cell library and of a silicon compiler. The course includes a semester-long design project, with the design to be fabricated by a foundry. Two one-hour lectures and three hours of design laboratory per week. Prerequisite: ECE 138. (ES 0.5) (ED 2.5)

Textbook: Weste & Eshraghian, Principles of CMOS VLSI Design, 2nd Ed., Addison-Wesley, 1993.

Note: This book is also used in ECE 361.

Reference(s): Mentor Graphics CMOSN Design Kit User's Manual.

Coordinator: F. Hielscher, Professor.

Goals: The design of complex digital integrated circuits, and the use of CAE tools for design and verification.

Prerequisites by topic:

1. MOS device physics, MOS technology, layout design rules.

2. Design and verification of small MOS integrated circuits.

Topics:
1. Use of the CAE design and verification tools. Design syntax.
2. Implementation of macro-blocks using smaller components.
3. Data and Control flow in systematic structures.
4. Clocks, oscillators, register-to-register transfer, synchronous circuits.
5. Logic simulation, timing verification, directives and command files, examples of clock specifications.
6. Combinational circuits and PLA's.
7. Static and dynamic implementations; domino logic.
8. Memories.
9. Floorplanning, placement, and routing.
Computer Usage: Use of Sun workstations, using Mentor Graphics V8 VLSI design tools. The global tool suite is Design Architect, with specific tools for schematic capture, functional verifier and timing simulator (QuickSimII), CMOSN cell libraries.

Laboratory

Project: The design and verification of a large-scale CMOS circuit using standard cells from a library. Students work as teams of 2 to 4 students. The final designs will contain roughly 5000 transistors; the general range has been between 3500 to more than 20,000 transistors, involving circuits such as complex-number multipliers, digital filters, and systolic sorters.

Estimated ABET Category Content:

Engineering Design: 2.5 credits

Engineering Science: 0.5 credits

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ECE 371 Optical Information Processing (3)

Spring

1996-97

Catalog Data: Introduction to optical information processing and applications. Interference and diffraction of optical waves. 2D optical matched filters that use lenses for Fourier transforms. Methods and devices for modulating light beams for information processing, communications, and optical computing. Construction and application of holograms for optical memory and interconnections. Prerequisite: ECE 108. (ES 2.5) (ED 0.5)

Textbook: Alastair McAulay, Optical Computer Architectures, 1991, John Wiley Publishers.

Goodman, Intro to Fourier Optics, 2nd Edition 1988, McGraw Hill Publishers.

Coordinator: A. McAulay, Professor

Goals:

1. Students will understand how diffraction of light produces 2D Fourier transforms of images.
2. Students will understand how interference of light waves enables storage of complex or 3-D images in a 2-D form for use in holography and for use with item 1 to construct complex filters for 2-D correlators.
3. Students will be able to design, analyze, and construct systems involving correlators and holograms, including computer generated holograms.
4. Provide an introduction to optical devices, including optical fibers and modulators, for use in optical information processing.
Prerequisites: Digital Signal Processing or Fourier transform fundamentals. Electromagnetic fundamentals.

Topics:

1. Review of basic optics, 2-D FT signal processing, basic EM waves.
2. Scalar diffraction theory.
3. Fourier transform capability of lens.
4. Coherent processing with real filters.
5. Coherent processing with complex filters.
6. Holography and development of computer generated hologram project (design project, 1 week).
7. Frequency analysis of optical systems.
8. Applications for optical information processing, networks and computers.
Language and Computer Projects:

There will be one project involving a computer activity leading to an optical demonstration. There will be at least one class involving optical demonstrations in optics lab PL 217.

Homework

Assignments: Homework will be assigned weekly and will be due one week from assignment.

Quizzes: There will be a midterm and a final, counting over 50% of grade.

ABET category content:

Engineering Design: 0.5 credits

Engineering Science: 2.5 credits

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ECE 372 Optical Networks (3)

Spring

1996-97

Catalog Data: Study the design of optical fiber local, metropolitan, and wide area networks. Topics include: passive and active photonic components for optical switching, tuning, modulation and amplification; optical interconnection switches and buffering; hardware and software architectures for packet switching and wavelength division multiaccess systems. The class is supported with a laboratory. Prerequisite ECE 81. (ES 2) (ED 1)

Textbook: Paul Green, Optical Fiber Networks, Prentice- Hall 1993.

References: A. D. McAulay, Optical Computer Architectures, John Wiley, 1991.

Professional Society Journals as appropriate.

Coordinator: Alastair D. McAulay, Professor

Goals:

1. Students will understand functionality for components used for optical networks and optical computers.
2. Students will be able to assemble components into subsystems for interconnection, memory and switching.
3. Students will be able to assemble subsystems into architectures for optical networks and computers.
4. Students will be able to compare control strategies and programming strategies for different architectures to assess performance.
Prerequisite: ECE 81. Electromagnetics or optical information processing or lightwave technology. Introduction to computer engineering or computer architecture or computer networks or data communication.

Topics:

1. Background review; Networking status; Fiber optics; Electromagnetic wave propagation
2. Optical component review: Optical phenomena for switching and tuning; Optical passive components; Optical active components
3. Optical interconnection switches; Widely used bus, star, crossbar; Multistage and routing; Active and hybrid networks
4. Optical Architectures; Optical communications; Optical multiplexing; Optical computers
Language and

Computer Projects: There will be a small computer project. There will be several demonstrations and laboratory experiments in the new lightwave lab.

Estimated ABET Category Content:

Engineering Design: 1 credit

Engineering Science: 2 credits

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ECE 375 Computer Vision (3)

Fall

1996-97

Catalog Data: Acquisition and processing of digital images. Interpretation of vision modalities. Intermediate level vision, including segmentation, texture, and shape representation. Three- dimensional scene understanding from stereo, texture, shading and photometric stereo. Basics of high level vision. Prerequisite: ECE 343 or equivalent or consent of instructor. (ES 2) (ED 1)

Textbook: None required

References: D. H. Ballard, and C.M. Brown, Computer Vision, Prentice- Hall, 1982

R.M. Haralick and L.G. Shapiro, Computer and Robot Vision, Addison- Wesley, 1992

R.C. Gonzalez and R.E. Woods, Digital Image Processing, Addison- Wesley, 1992

Coordinator: D. Brzakovic, Associate Professor

Goals: To introduce students to theoretical aspects and application issues in computer vision.

Prerequisite: ECE 343 or equivalent or consent of instructor. By topics: Digital signal processing, fundamental concepts of artificial intelligence.

Topics:

1. Introduction; Image formation; Pre- processing (enhancement, noise removal) (1 week design/homeworks; Segmentation/edge detection (1 week design/project)
2. Texture analysis and representation
3. 3-D scene understanding from stereo texture shading photometric stereo
4. Representations of geometric structures
5. High level vision; knowledge representation; Algorithms for matching, inference, and recognition (1 week design/project)
6. Smart sensing
7. Case studies ( 2 weeks design/final project)
Estimated ABET content:

Engineering design: 1 credit

Engineering science: 2 credits

Estimated CSAB Category Content:

• Algorithms: 3 credits

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ECE 387 Digital Control (3)

Spring

1996-97

Catalog Data: ECE 387. (ChE 387, ME 387)Digital Control (3). Sampled-data systems, z-transforms; pulse transfer functions; stability in the z-plane; root-locus and frequency response design methods; minimal prototype design; digital control hardware; discrete state variables; state transition matrix; Liapunov stability feed back control. (2 lectures and 1 laboratory per week). Prerequisite: ECE 212 or ChE 386, ME 342, or consent of instructor. (ES 3) (ED 0)

Textbook: Astrom, Computer Control Systems, Prentice Hall.

Coordinator: William L. Luyben, Professor of Chemical Engineering

Goals: This course is designed to extend classical control methodology to sampled-data systems.

Prerequisites by topic:

1. Process Control.
2. Control Theory.
3. Dynamics of Engineering Systems.
Topics:
1. Introduction and review of continuous control
2. Impulse sampling
3. z-transformations
4. Pulse transfer functions
5. Open loop and closed loop systems
6. Stability and damping coefficients
7. Root locus methods in the z-plane
8. Frequency response methods
9. Digital compensation: minimal prototype
10. IMC, Dahlin and Shunta algorithms
11. Deadtime processes, modified z-transforms
12. Open loop unstable processes
Computer Usage: Simulations of sampled data systems; use of commercial "CC" control systems design software.

Laboratory

Projects: None

Estimated ABET Category Content:

Engineering Design: 0 credits

Engineering Science: 3 credits

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ECE 389 Control Systems Laboratory (2)

Spring

1996-97

Catalog Data: ECE 389 (ChE 389, ME 389) (2). Experiments on a variety of mechanical, electrical and chemical dynamic control systems. Exposure to state-of-the-art control instrumentation: sensors, transmitters, control valves, analog and digital controllers. Emphasis on comparison of theoretical computer simulation predictions with actual experimental data. Lab teams will be interdisciplinary. Prerequisite ChE 386, ME 343, ECE 212. (ES 2) (ED 0)

Textbook: None

Coordinators: D. L. Talhelm, Emeritus Associate Professor of Electrical Engineering

William Luyben, Professor of Chemical Engineering

S. H. Johnson, Professor of Mechanical Engineering and Mechanics

Goals: This course is taught to the students in Mechanical Engineering and Mechanics, Chemical Engineering, and Electrical Engineering and Computer Science. The goal is to re-enforce and extend the teaching of classical control theory. A unique feature of this laboratory is the makeup of the student teams. When enrollment permits, three students, one from each of the three disciplines, will work together on a series of six experiments drawn equally from the three broad areas of electronics, servomechanisms and process controls. These shared laboratory experiences will generate cross fertilization of ideas and mutual respect for other disciplines.

Prerequisites by topic:

1. Laplace transforms
2. Discrete system modeling
3. Specification and transient response
4. Root Locus method
5. Frequency response method
6. Compensator selection and tuning
7. Discrete system identification
Experiments:
1. Electromechanical servosystem feedback controller design
2. Hydraulic servosystem performance improvement
3. Electric motor speed control
4. Phase-lock loop performance determination
5. Pneumatic tank level control
6. Interacting temperature and level control
7. Self-tuning process controller performance
8. Process identification and control
9. Robot teaching and transient response determination
10. under development) Optical tracking a reflecting target
Computer Usage: Almost all experiments require digital simulation and/or use of control system analysis of software like STI/s package CC.

Estimated ABET Category Content:

Engineering Design: 0 credits

Engineering Science: 2 credits

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ECE Graduate Courses

ECE 401. Advanced Computer Architecture (3)

Design, analysis and performance of computer architectures; high speed memory systems; cache design and analysis; modeling cache performance; principle of pipeline processing, performance of pipelined computers; scheduling and control of a pipeline; classification of parallel architectures; systolic and data flow architectures; multiprocessor performance; multiprocessor interconnections and cache coherence. Prerequisite: ECE 201 or equivalent.

ECE 404. Computer Networks (3)

Study of architecture and protocols of computer networks. The ISO model; network topology; data-communication principles, including circuit switching, packet switching and error control techniques; sliding window protocols, protocol analysis and verification; routing and flow control; local area networks; network interconnection; topics in security and privacy. Tzeng

ECE 407. Linear and Nonlinear Optics (3)

Diffraction theory, Gaussian beams. Optical resonators and waveguides. Crystal optics, second harmonic generation, parametric amplification. Third order nonlinearities and associated phenomena such as phase conjugation, optical bistability, self-focusing, optical switching, solitons, etc. Photorefractive effect. Brillouin and Raman scattering. Christodoulides

ECE 411. Information Theory (3)

Introduction to information theory. Topics covered include: development of information measures for discrete and continuous spaces study of discrete-stochastic information courses, derivation of noiseless coding theorems, investigation of discrete and continuous memoryless channels, development of noisy channel coding theorems. Fritchman

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ECE 412. Advanced Digital Signal Processing (3)

Design and analysis of signal processing algorithms, Number theoretic foundations of algorithm design, bilinear algorithms, computational techniques for digital filtering and convolution, Fourier transform and its algorithms, number theoretic transforms and applications to digital filtering, general and special purpose signal processor designs, application specific techniques in signal processing. Prerequisite: ECE 343 or consent of the department chairman. Wagh

ECE 414. Signal Detection and Estimation (3)

spring

Brief review of probability and random process theory. Hypothesis Testing as applied to signal detection. Various optimality criterion including Bayes and Neyman-Pearson and their applications in digital communications, radar, and sonar systems. Optimum and locally optimum detection schemes for Gaussian and non-Gaussian noise. Estimation of unknown signal parameters. Topics of current interest including, distributed signal detection, robust signal detections and quantization for detection as time permits. Prerequisites: ECE 108 , and Math 231 or Math 309. Blum

ECE 415. Numerical Processors (3)

Design strategies for numerical processors, cellular array adders and multipliers, conditional sum and carry-save asynchronous processors, data recoding and Booth's algorithms, use of alternate numerical bases, CORDIC trigonometric calculator, accumulator orientations, bit slice and bit-sequential processors, pipelining and parallel processing considerations. Prerequisite: ECE 201 . Wagh

ECE 416. VLSI Signal Processing (3)

The fundamentals of performance-driven VLSI systems for signal processing. Analysis of signal processing algorithms and architectures in terms of VLSI implementation. VLSI design methodology. Includes a design project which requires use of a set of tools installed on SUN workstations for behavioral simulation, structural simulation, circuit simulation, layout, functional simulation, timing and critical path analysis, functional testing, and performance measurement. Prerequisite: ECE 361 , ECE 343 , or equivalent. Li

ECE 417. Pattern Recognition (3)

Decision-theoretic, structural, and neural network approaches to pattern recognition. Pattern vectors and feature extraction. Classifiers, decision regions, boundaries and discriminant functions. Clustering and data analysis. Statistical pattern recognition, parametric and nonparametric approaches. Syntactic pattern recognition. Introduction to neural networks, with examples of backpropagation and self-organization algorithms. Prerequisites: Math 205 and Math 231, or equivalent. Brzakovic

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ECE 423. Digital Image Processing (3)

Fundamentals of imaging acquisition and geometry. Fourier, Hadamard, Walsh and Wavelet Transforms and their usage in image segmentation and understanding. High-pass and low-pass filtering in frequency and spatial domains. Multiresolution analysis and spatial scale filtering. Shape and texture representation and recognition. Prerequisite: ECE 343 or equivalent. Brzakovic

ECE 424. Advanced Circuits and Systems (3)

Review of linear circuit and system analysis including time domain and frequency domain solution techniques. Overview of contemporary mathematical and circuit-theoretic techniques applied to the solution of linear circuits-- including, fundamental loop and cutset equations, generalized nodal, modified nodal, tableau, and mesh equation formulation, hybrid N-port network description and state equation formulation, and selected matrix and linear operator theory relevant to the solution of system equations. Discretization and computer based circuit analysis will be a fundamental theme of the course. Nonlinear and time varying networks will be discussed in this context. Frey

ECE 431. Topics in Switching Theory (3)

Emphasis on structural concepts motivated by recent advances in integrated circuit technology. Major topics include: logical completeness, decomposition techniques, synthesis with assumed network forms, systolic architectures, systolic lemma and its applications, bit serial architectures. Prerequisite: ECE 320 or equivalent. Wagh

ECE 433. (ChE 433, ME 433) State Space Control (3)

State-space methods of feedback control system design and design optimization for invariant and time-varying deterministic, continuous systems; pole positioning, observability, controllability, modal control, observer design, the theory of optimal processes and Pontryagin's Maximum Principle, the linear quadratic optimal regulator problem, Lyapunov functions and stability theorems, linear optimal open loop control; introduction to the calculus of variations; introduction to the control of distributed parameter systems. Intended for engineers with a variety of backgrounds. Examples will be drawn from mechanical, electrical and chemical engineering applications. Prerequisite: ME 343 or ECE 212 or ChE 386 or consent of instructor.

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ECE 434. (ChE 434, ME 434) Multivariable Process Control (3)

A state-of-the-art review of multivariable methods of interest to process control applications. Design techniques examined include loop interaction analysis, frequency domain methods (Inverse Nyquist Array, Characteristic Loci and Singular Value Decomposition) feedforward control, internal model control and dynamic matrix control. Special attention is placed on the interaction of process design and process control. Most of the above methods are used to compare the relative performance of intensive and extensive variable control structures. Prerequisite: ChE 433 or ME 433 or ECE 433 or consent of instructor.

ECE 435. Error-Correcting Codes (3)

Error-correcting codes for digital computer and communication systems. Review of modern algebra concentrating on groups and finite fields. Structure and properties of linear and cyclic codes for random or burst error correction covering Hamming, Golay, Reed-Muller, BCH and Reed-Solomon codes; construction of Goppa codes and their recent generalizations. Decoding algorithms and implementation of decoders. Prerequisite: CSc 261 or equivalent. Tzeng

ECE 436. (ChE 436, ME 436) Systems Identification (3)

The determination of model parameters from time-history and frequency response data by graphical, deterministic and stochastic methods. Examples and exercises taken from process industries, communications and aerospace testing. Regression, quasilinearization and invariant-imbedding techniques for nonlinear system parameter identification included. Prerequisite: ChE 433 or ME 433 or ECE 433 or consent of instructor.

ECE 437. (ChE 437, ME 437) Stochastic Control (3)

Linear and nonlinear models for stochastic systems. Controllability and observability. Minimum variance state estimation. Linear quadratic Gaussian control problem. Computational considerations. Nonlinear control problem in stochastic systems. Prerequisite: ChE 433 or ME 433 or ECE 433 or consent of instructor.

ECE 447. Nonlinear Phenomena (3)

Investigation of nonlinear effects in active and passive lumped and distributed circuits with emphasis on methods of analysis as well as physical understanding of jump phenomena, van derPol's theory, stability criteria, phase locking. Transmission line and optical waves in nonlinear media; shock waves, harmonic generation and optical parametric amplification.

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ECE 450. Special Topics (3)

Selected topics in electrical and computer engineering not covered in other courses. May be repeated for credit.

ECE 451. Physics of Semiconductor Devices (3)

Crystal structure and space lattices, crystal binding, lattice waves and vibrations, electrons and atoms in crystal lattices. Quantum mechanics and energy band theory, carrier statistics, Boltzmann transport theory, interaction of carriers with scattering centers, electronic and thermal conduction. Magnetic effects. Generation and recombination theory. Application to p-n junctions. Prerequisites: Phys 31 and ECE 126 or equivalent. Decker or White

ECE 452. Advanced Semiconductor Diode and Transport Theory (3)

Properties of metal-semiconductor contacts, Schottky barriers, ohmic contacts, hot electrons, intervalley scattering, velocity saturation, secondary ionization, avalanche breakdown. Applications to microwave devices such as avalanche and Gunn diodes, Schottky barrier diodes, tunnel diodes and PIN diodes. Prerequisite: ECE 451 . Decker

ECE 455. Theory of Metal Semiconductor and Heterojunction Transistors (3)

Physics of metal semiconductor and heterojunction field effect transistors (MESFET and HEMT). Theory of semiconductor heterojunctions. Properties of heterojunction bipolar transistors (HBT): Equivalent circuits, applications to microwave amplifiers, oscillators, and switching circuits. Prerequisite: ECE 451 . Decker

ECE 460. Engineering Project (3-6)

Project work in an area of student and faculty interest. Selection and direction of the project may involve interaction with industry. Prerequisite: consent of department chairperson.

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ECE 461. Theory of Electrical Noise (3)

Definitions: noise temperature, spectral density. Noise sources: quantum, thermal, shot, generation-recombination, flicker noise. Representation and optimization of noisy networks. Prerequisites: Phys 31 and ECE 126 . Decker

ECE 463. Design of Microwave Solid State Circuits (3)

Equivalent circuit modeling and characterization of microwave semiconductor devices, principles of impedance matching, noise properties and circuit interaction, introduction to the design of high power and non-linear circuits. Decker

ECE 467. Semiconductor Material and Device Characterization (3)

fall

This course covers the main characterization techniques used in semiconductor industry. Emphasis is given to the electrical characterization methods although some optical, and physical analytical techniques are reviewed. The principles and the experimental set up for measuring the following parameters are covered: resistivity; carrier and doping concentration; contact resistance and Schottky barrier height; device series resistance; MOSFET's channel length and threshold voltage; carrier mobility; oxide and interface trapped charge; and carrier lifetime. Laboratory sessions provide hands-on experience on some of the above methods. Prerequisites: ECE 126 and ECE 308 , or equivalent. Hatalis

ECE 469. Process Modeling for Semiconductor Devices (3)

Students will design and "manufacture" a Si or GaAs transistor through process simulation of ion implantation, epitaxial growth, diffusion and contact formation, etc. I-V characteristics and small signal parameters, suitable for digital and microwave circuit simulation programs, will be derived. Complementary to ECE 463 and ECE 471 . Prerequisite: ECE 308 or ECE 351 . Hwang

ECE 474. Analog CMOS VLSI Design (3)

The fundamentals of analog circuit design with CMOS linear IC techniques. Discrete Analog Signal Processing (DASP) is accomplished with switched-capacitor CMOS circuits. Analog building blocks include operational amplifiers, S/H circuits, comparators and voltage references, oscillators, filters, modulators, phase detectors/shifters, charge transfer devices, etc. Analog sub-system applications are phase-locked loops (PLL's), A/D and D/A converters, modems, sensors, adaptive filters and equalizers, etc. The emphasis is on the physical operation of analog CMOS integration circuits and the design process. Prerequisite: ECE 355 or equivalent. White

ECE 476. Analysis and Design of Analog Integrated Circuits (3)

Device and circuit models of bipolar and field effect transistors; bipolar and MOS integrated circuit technology; passive components; parasitic and distributed elements; amplifier gain stages; subthreshold gain stages; current sources and active loads; temperature and supply independent biasing; output stage design; frequency response and slew rate limitation; operational amplifier and analog multiplier design. Circuit simulation using SPICE. Prerequisite: ECE 308 or equivalent. Hielscher

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ECE 478. Analysis and Design of Digital Integrated Circuits (3)

Large signal models and transient behavior of MOS and bipolar transistors. Basic inverter and logic gate circuits. Noise margins, operating speed, and power consumption of various logic families, including MOS, CMOS, saturated logic TTL, ECL, and IIL. Regenerative logic circuits and digital memories. Circuit design and computer aided circuit analysis for LSI and VLSI circuits. Prerequisite: ECE 308 or equivalent. Hielscher

ECE 479. Advanced MOS VLSI Design (3)

The design of very large scale NMOS and CMOS integrated circuits. Strong emphasis on device physics, and on novel circuit design approaches for VLSI implementation. Examination of second-order effects involved in designing high performance MOS digital integrated circuits, with the goal of pushing the design process to the limits determined by our current understanding of semiconductor device physics and of the currently available technologies. The topics include device physics (subthreshold conduction, short channel effects), important circuit innovations (substrate bias generators, sense amplifiers), systems aspects (clocking, timing, array structures), as well as static and dynamic circuit implementations. Design project, using VLSI design automation tools. Prerequisites: ECE 308 (or equivalent) and ECE 361 . Hielscher

ECE 483. Advanced Semiconductor Devices for VLSI Circuits (3)

Theory of small geometry devices for VLSI circuits. Emphasis of MOS bipolar device static and dynamic electrical characteristics. Carrier injection, transport, storage, and detection in bulk and interfacial regions. Limitations of physical scaling theory for VLSI submicron device structures. MOS physics and technology, test pattern device structures, charge-coupled devices, MNOS nonvolatile memory devices, and measurement techniques for device and process characterization. The influence of defects on device electrical properties. Prerequisite: ECE 451 . White

ECE 485. Heterojunction Materials and Devices (3)

Material properties of compound semiconductor heterojunctions, quantum wells and superlattices. Strained layer epitaxy and band-gap engineering. Theory and performance of novel devices such as quantum well lasers, resonant tunneling diodes, high electron mobility transistors, and heterojunction bipolar transistors. Complementary to ECE 452 . Prerequisite: ECE 451 . Hwang

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ECE 486. Integrated Solid-State Sensors (3)

The physical operation of sensor-based, custom integrated circuits. Emphasis on the integration of sensors, analog, and digital circuits on a silicon chip with CMOS technology. Sensors include photocells, electrochemical transducers, strain gauges, temperature detectors, vibration and velocity sensors, etc. Analysis of sensor-circuit performance limits including signal-to-noise, frequency response, temperature sensitivity, etc. Examples of sensor-based, custom I.C.'s are discussed and analyzed with CAD modeling and layout. Prerequisite: ECE 451 . White

ECE 491. Research Seminar (1-3)

Regular meetings focused on specific topics related to the research interests of department faculty. Current research will be discussed. Students may be required to present and review relevant publications. May be repeated for credit up to a maximum of three (3) credits. Prerequisite: Consent of instructor.

ECE 492. Independent Study (1-3)

An intensive study, with report, of a topic in electrical and computer engineering which is not treated in other courses. May be repeated for credit. Prerequisite: Consent of instructor.

ECE 493. Solid State Electronics Seminar (3)

Discussion of current topics in solid-state electronics. Topics selected depend upon the interests of the staff and students and are allied to the research programs of the Sherman Fairchild Laboratory for Solid State Studies. Student participation via presentation of current research papers and experimental work. Prerequisite: consent of instructor. May be repeated for credit.

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Assorted courses outside the EECS department.

MATH22 Calulus I, Calculus II and Calculus III

Every Term

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Catalog Data: see Catalog.

CSAB Allocation: Mathematics topics 3 (each)

Estimated ABET Category Content: Mathematics: 3 credits (each)

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Engineering 1 - Engineering Computations

Every Semester

Course Description: Fall-Spring

Introduction to the solution of engineering problems through the use of the computer. Elementary computer programming in FORTRAN is taught and illustrated by means of several topics in computational mathematics such as roots of equations, matrices, least squares analysis, numerical integration and others. No previous knowledge of computer programming is assumed. Also, a series of lectures and demonstrations are given, outlining the career opportunities in the various disciplines represented in the College of Engineering and Physical Sciences. Pre-requisite MATH32; MATH21 or MATH31, previously or concurrently.

Instructor: Richard N. Weisman, Professor of Civil Engineering

Text: Fortran 77 and Numerical Methods for Engineers, G. J. Borse,

PWS Engineering, Boston (1985)

Goals: To introduce first-year engineering students to computer programming via FORTRAN and to provide opportunity for career guidance. These goals will be achieved through two lectures and one recitation period per week.

Lecture Topics:

1. LOGON and Senator commands and diagnostics (2lectures)
2. Variable designation, arithmetic operators and arithmetic hierarchy
3. Mixed-mode arithmetic and more Senator commands
4. Logical IF-tests, IF-THEN-ELSE, looping, data files, Formatted I-O (2lec)
5. Data files, OPEN statements, statement functions
6. Summation algorithm, bisection method for root solving
7. Dimensioned variables, DO-loops, nested loops, implied DO-loops and I-O
8. Quiz 1
9. Loops and arrays, character variables, sorting
10. Printer plots
11. Sub-routines and functions (2lec)
12. Introduction to numerical methods, Taylor series, numerical differentiation (2 lec)
13. Quiz 2
14. Root solving, Newton's method, secant method, comparison of methods (3 lec)
15. Determinants, Cramer's Rule, Gauss-Jordan (3 lect)
16. Least squares (2 lect)
17. Quiz 3
18. Introduction to numerical integration, trapezoid rule, Simpson's Rule, Romberg integration (2 lect)
EstimatedABET Category Content: Mathematics: 1 credit, Engineering Design:1 credit, Engineering Science: 1 credit

Laboratory projects(specify number of weeks on each):

Estimate CSAB Category Content:

Computer Science Allocation

• CORE
  • Theoretical Foundations:
  • Algorithms:
  • Data Structures:
  • Software design:
  • Concept of programming languages:
  • Computer elements and Architecture:
  • Social Implications:
• ADVANCED
  • Theoretical Foundations:
  • Algorithms:
  • Data Structures:
  • Software design:
  • Concept of programming languages:
  • Computer elements and Architecture:
• Other Allocation (Specify)
• Total Credits: 3

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MATH243 Algebra

Spring 1992

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href="#qi"> Return to the course index or return to the EECS home page Catalog Data: Introduction to basic concepts of modern algebra: groups, rings, and fields.

Textbook: Hillman and Alexanderson, A First Undergraduate Course in Abstract Algebra, Wadsworth, Ed. 4.

Coordinator: Bruce Dodson, Associate Professor of Mathematics.

Goals:This course serves as a first introduction to abstract algebra.

Topics:

1. Structure of integers - introduction, prime factorization, Euclidean algorithm.(9 classes)
2. Permutation (9 classes)
3. Abstract groups and homomorphisms. (12 classes)
4. Rings, finite fields, fields. (9 classes)
5. Computer methods. (3 classes)
CSAB Allocation
• Other Allocation: Mathematics topics 3
• TotalCredits: 3

MATH231 Probability and Statistics

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Catalog Data: see Catalog.

CSAB Allocation: Mathematics topics 3

Estimated ABET Category Content: Mathematics: 3 credits

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MATH309 Theory of Probability

Fall 1992

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Catalog Data: Probabilities of events on discrete and continuous sample spaces; random variables and probability distributions; expectations; transformations; simplest kind of law of large numbers and central limit theorem. The theory is applied to problems in physical and biological sciences.

Prerequisite: MATH23 or MATH32 or MATH44.

Textbook: S. Ross, A First Course in Probability, MacMillan, ed. 3.

Reference(s): None

Coordinator: B. Kumar Ghosh, Professor of Mathematics

Goals: To provide scientists, engineers and mathematicians - advanced undergraduate and graduate students - with foundations and applications of probability theory.

Prerequisite by topic: Calculus of one and two variables.

Topics:

1. Axioms of probability (4 classes)
2. Combinatorial analysis (6 classes)
3. Conditional probability and independence (3 classes)
4. Random variables - discrete (7 classes)
5. Random variables - continuous (7 classes)
6. Two random variables (6 classes)
7. Expectation (4 classes)
8. Introduction to law of large numbers and central limit theorem (3 classes)
Other Allocation: Mathematics topics 3 Total Credits: 3

Estimated ABET Category Content: Mathematics: 3 credits

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ABET Design/Science credits, Spring 1996 After each course name are shows the credits for ED ES EE.
CSc 11 Introduction to Computing (4) 2.0 2.0
CSc 17 Structured Programming and Data Structures (4) 1.0 3.0 x
CSc 109 Systems Programming (3) 1.5 1.5 x (hidden)
CSc 209 Assembly Language Programming (3) 2.0 1.0
CSc 241 Data Base Systems (3) 1.5 1.5
CSc 261 Discrete Structures (3) 1.0 2.0 x
CSc 262 Programming Languages (3) 1.5 1.5 x
CSc 271 Programming in C and the Unix Environment (3) 1.0 2.0
CSc 302 Compiler Design (3) 1.5 1.5
CSc 303 Operating System Design (3) 1.5 1.5 x
CSc 313 Computer Graphics (3) 1.5 1.5
CSc 318 Automata and Formal Grammars (3) 0.0 3.0
CSc 327 Artificial Intelligence Theory and Practice (3) 1.0 2.0
CSc 330 Advanced Software Engineering Tools (3) 2.0 1.0
CSc 340 Design and Analysis of Algorithms (3) 0.0 3.0
CSc 365 Natural Language Processing (3) 1.0 2.0
CSc 368 Artificial Intelligence Programming (3) 1.0 2.0
CSc 375 Hardware and Software Topics in Parallel Computing (3) 1.5 1.5
CSc 376 Parallel Algorithms (3) 2.0 1.0
ECE 33 Introduction to Computer Engineering (4) 2.0 2.0 x x
ECE 81 Principles of Electrical Engineering (4) 1.0 3.0 x x
ECE 82 Sophomore Lab (1) 1.0 0.0 x x
ECE 108 Signals and Systems (4) 0.0 4.0 x x
ECE 111 Proseminar (1) 0.5 0.5 x x
ECE 116 Software Engineering (3) 1.5 1.5 x
ECE 121 Electronic Circuits Laboratory (2) 1.5 0.5 x x
ECE 123 Electronic Circuits (3) 1.5 1.5 x x
ECE 125 Circuits and Systems (3) 0.5 2.5 x
ECE 126 Fundamentals of Semiconductor Devices (3) 0.5 2.5 x
ECE 136 Electromechanics (3) 1.0 2.0 x
ECE 138 Digital Systems Laboratory (2) 1.5 0.5 x x
ECE 162 Electrical Laboratory (1) 0.0 1.0
ECE 201 Computer Architecture (3) 1.5 1.5 x
ECE 202 Introduction to Electromagnetics (3) 0.0 3.0 x
ECE 203 Introduction to Electromagnetic Waves (3) 0.5 2.5 x
ECE 212 Control Theory (3) 1.0 2.0
ECE 251 Senior Project I (2) 1.5 0.5 x x
ECE 252 Senior Project II (2) 1.5 0.5
ECE 254 Microwave-Lightwave Laboratory (2) 1.0 1.0
ECE 256 Honors Project (1) 0.0 0.0
ECE 308 Physics and Models of Electronic Devices (3) 1.0 2.0
ECE 316 Microcomputer System Design (3) 2.5 0.5
ECE 319 Digital System Design (3) 3.0 0.0 x
ECE 320 Logic Design (3) 1.5 1.5
ECE 332 Design of Linear Electronic Circuits (3) 2.0 1.0
ECE 333 Medical Electronics (3) 0.5 2.5
ECE 340 Adaptive Signal Processing (3) 0.5 2.5
ECE 342 Communication Theory (3) 0.5 2.5
ECE 343 Digital Signal Processing (3) 0.5 2.5
ECE 344 Statistical Signal Processing (3) 0.5 2.5
ECE 345 Speech Synthesis and Recognition (3) 2.0 1.0
ECE 346 Microwave Circuits and Techniques (3) 2.0 1.0
ECE 347 Introduction to Integrated Optics (3) 0.0 3.0
ECE 348 Lightwave Technology (3) 1.0 2.0
ECE 350 Special Topics (3) (ED/ES credits depend on course)
ECE 351 Microelectronics Technology (3) 1.0 2.0
ECE 355 Applied Integrated Circuits (3) 2.5 0.5
ECE 361 Introduction to VLSI Circuits (3) 1.5 1.5
ECE 362 Introduction to VLSI System Design (3) 2.5 0.5
ECE 371 Optical Information Processing (3) 0.5 2.5
ECE 372 Optical Networks (3) 1.0 2.0
ECE 375 Computer Vision (3) 1.0 2.0
ECE 387 Digital Control (3) 0.0 3.0
ECE 389 Control Systems Laboratory (3) 0.0 2.0


End EECS Detailed Course information

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