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ACADEMIC CATALOG - Purdue University Calumet

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Course Descriptions<br />

ECE 464 COMPUTER ARCHITECTURE<br />

AND ORGANIZATION<br />

(Class 3, Lab. 3, Cr. 4)<br />

Prerequisite: ECE 371<br />

Design of computer systems with emphasis on computer architecture.<br />

Topics discussed include: Fundamentals of Computer<br />

Design, Instruction set principles and Examples, Pipelining,<br />

Advanced Pipelining and Instruction-Level Parallelism,<br />

Memory-Hierarchy Design, I/O Systems, Buses and Arbitration<br />

Techniques, Interconnection Networks, and Multiprocessors.<br />

ECE 468 DESIGN OF COMPUTER SYSTEMS PROGRAMS<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 371<br />

The design of systems programs, in particular, operating systems,<br />

assemblers, loaders, and compilers. The role of systems<br />

programs as the link between computer hardware and software<br />

is emphasized. Topics include: problems of assembling<br />

and loading microcomputer codes, macroprocessors, memory<br />

management, implementation of high level language features<br />

and special purpose language compilers. Projects illustrating<br />

the applications of the fundamental concepts to the design<br />

and construction of working systems programs are required.<br />

ECE 476 DIGITAL SIGNAL PROCESSING<br />

(Class 2, Lab. 3, Cr. 3)<br />

Prerequisite: ECE 301 and ECE 233<br />

Theory and implementation of real time digital signal processing.<br />

Survey or continuous filter design using Butterworth,<br />

Chebychev, inverse Chebychev, elliptic, and Bessel approximations;<br />

type transformations; review of sampling theory,<br />

discrete time signals and systems, and Z-transforms; design<br />

of IIR filters using impulse invariance, bilinear transform,<br />

and a survey of direct techniques; design of FIR filters using<br />

Fourier series and windows, least squares error, and optimal<br />

equiripple techniques; properties and applications of discrete<br />

and fast Fourier transforms. Overview of spectual estimation<br />

techniques. Laboratory includes implementation of lecture<br />

topics.<br />

ECE 483 DIGITAL CONTROL<br />

SYSTEMS-ANALYSIS AND DESIGN<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 382 or ME 485<br />

An introduction to computer-controlled systems from both<br />

the state variable and z-transform points of view, along with<br />

sampling theory and its effect on digital control design.<br />

Design of digital controllers from the state space and frequency<br />

domain points of view.<br />

ECE 532 COMPUTATIONAL METHODS<br />

FOR POWER SYSTEM ANALYSIS<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 432<br />

System modeling and matrix analysis of three-phase power<br />

networks. Applications of numerical methods and computers<br />

to the solution of a variety of problems related to the planning,<br />

design and operation of electric power systems.<br />

ECE 544 DIGITAL COMMUNICATIONS<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 448<br />

Introduction to digital Communication systems and spread<br />

spectrum communications. Topics include analog message<br />

digitization, signal space representation of digital signals,<br />

binary and M-ary signaling methods, detection of binary and<br />

M-ary signals, comparison of digital communication systems<br />

in terms of signal energy and signal bandwidth requirements.<br />

The principal types of spread spectrum systems are analyzed<br />

and compared. Application of spread spectrum to multiple<br />

access systems and to secure communication systems is discussed.<br />

ECE 547 INTRODUCTION TO COMPUTER<br />

COMMUNICATION NETWORKS<br />

(Class 3, Cr. 3)<br />

A qualitative and quantitative study of the issues in design,<br />

analysis, and operation of computer communication networks<br />

as they evolve toward the integrated networks of the future,<br />

employing both packet and circuit switching technology. The<br />

course covers packet and circuit switching, the OSI standards<br />

architecture and protocols, elementary queuing theory for<br />

performance evaluation, random access techniques, local area<br />

networks reliability and error recovery, and integrated networks.<br />

ECE 554 ELECTRONIC INSTRUMENTATION<br />

AND CONTROL CIRCUITS<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 335 and ECE 301<br />

Analysis and design of special amplifiers, pulse circuits,<br />

operational circuits, d-c amplifiers, and transducers used in<br />

instrumentation, control, and computation.<br />

ECE 589 STATE ESTIMATION & PARAMETER ID<br />

OF STOCHASTIC SYSTEMS<br />

(Class 3, Cr. 3)<br />

Introduction to point estimation, least squares, Bayes risk and<br />

maximum likelihood. Optimum mean-square recursive estimation<br />

for non-dynamic stochastic systems. State estimation<br />

for discrete-time and continuous-time dynamic systems.<br />

Parameter identification of stochastic approximation, least<br />

squares, and random search algorithms.<br />

202<br />

ECE 495 SELECTED TOPICS<br />

IN ELECTRICAL ENGINEERING<br />

(Class 1 to 4, Lab. 1 to 4, Cr. 1 to 4)<br />

Special topics in electrical engineering<br />

ECE 496 ELECTRICAL ENGINEERING PROJECTS<br />

Special project will vary. Hours and credits to be arranged.<br />

ECE 519 CONTROL THEORY II<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 382 or ME 485<br />

The approximation of common non-linearities by describing<br />

functions and the analysis of resultant system behavior.<br />

Review of matrix analysis. Statespace formulation, representation,<br />

solution and design. Introduction to optimization and<br />

computational methods.<br />

Course Descriptions<br />

ECE 595 SELECTED TOPICS IN ELECTRICAL<br />

ENGINEERING<br />

(Class 0 to 3, Cr. 1 to 3)<br />

Formal classroom or individualized instruction on topics of<br />

current interest.<br />

ECE 602 LUMPED SYSTEM THEORY<br />

(Class 3, Cr. 3)<br />

Prerequisite: ECE 301<br />

An investigation of the basic theory and techniques of modern<br />

system theory, emphasizing linear state model formulations<br />

of continuous and discrete time systems in the time<br />

domain and frequency domain. Coverage includes notions of<br />

linearity, time invariance, discrete and continuous time state<br />

models, canonical forms, associated transfer functions and<br />

impulse response models, the state transition matrix, the Jordan<br />

form, controllability, observability, and stability. stability.

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