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Course Criteria
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3.00 Credits
An introductory treatment of probability theory including distribution and density functions, moments, and random variables. Applications of normal and exponential distributions. Estimation of means, variances, correlation, and spectral density functions. Random processes and response of linear systems to random inputs. Preparation for Course P: MA 262. Cr. 3.
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3.00 Credits
Continued study of vector calculus, electrostatics, and magnetostatics. Maxwell's equations. Introduction to electromagnetic waves, transmission lines, and radiation from antennas. Preparation for Course P: MA 262 and PHYS 261. Cr. 3.
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3.00 Credits
This course is designed to give students in Computer Engineering group design project experience in the engineering of large scale software. Tools and techniques for requirements analysis, resource estimation, project management, design, implementation, testing, quality assurance, and maintenance will be used in projects that simulate real-world software engineering work environments. Preparation for Course P: ENGR 222; authorized equivalent courses or consent of instructor may be used in satisfying course pre- and co-requisites. Prerequisite by Topic: Proficiency in C/C++ programming language. Cr. 3.
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3.00 Credits
Introduction to the design of digital systems using VHDL hardware description language. Emphasis on how to write VHDL that will map readily to hardware. Projects assigned using commercial-grade computer-aided design (CAD) tools for VHDL-based design, VHDL simulation, and synthesis. Preparation for Course P: ECE 270, ENGR 122 or 221. Cr. 3.
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4.00 Credits
An introduction to basic computer, organization, microprocessor instruction sets, assembly language programming, the design of various types of digital as well as analog interfaces, and microprocessor system design considerations. The accompanying laboratory is designed to provide practical hands-on experience with microprocessor software applications and interfacing techniques. Topics include design and implementation of a simple microcoded 3-bus computer; a detailed study of a particular microcomputer architecture and instruction set; assembly language programming techniques; system control signals and I/O structure; memory system design; I/O port design and handshaking protocols; interrupt control systems; parallel and serial interface subsystems; counter/timer subsystems; and analog (data and control) interfaces. Preparation for Course P: ENGR 110 or equivalent programming experience, EE 266 and 267. P: or C: EE 265. Cr. 4. Hours Class 3, Lab. 3.
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3.00 Credits
Provides insight into the use of data structures. Topics include stacks, queues and lists, trees, graphs, sorting, searching, and hashing. Preparation for Course P: 364. Cr. 3.
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3.00 Credits
Introduction to numerical methods for engineers. Topics include solution methods for nonlinear algebraic equations, sets of linear and nonlinear algebraic equations, eigenvalue problems, interpolation and curve fitting, numerical differentiation and integration, and techniques to solve ordinary and partial differential equations. Preparation for Course P: MA 262. Cr. 3.
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3.00 Credits
In this course classical concepts of feedback system analysis and associated compensation techniques are presented. In particular, the root locus, Bode diagram, and Nyquist criterion are used as determinants of stability. Preparation for Course P: 301 or ME 375 or equivalent. Cr. 3.
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3.00 Credits
Introduction to robotics; micro controllers, motion actuators, sensors, electric circuits and interference, electronic devices and interfacing, switch elements, electric ladder diagrams. Preparation for Course P: ECE 201, ENGR 199, 221, ME 200 or 250. Cr. 3.
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1.00 Credits
Experiments in building, programming, and testing mobile robots; DC motors; shaft encoders and telemetry. Multidisciplinary mobile robot team projects involving mechanical,electrical and computer engineering designs. Preparation for Course C: ECE 387. Cr. 1
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