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Course Criteria
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3.00 Credits
This course will introduce students to the basics of mechatronics (i.e., the integration of mechanical, electrical, computer, and control systems). Students will learn the fundamentals of sensors and actuators for mechanical systems, computer interfacing, microcontrollers, real-time software, and control. Prerequisite: Mech Eng 279 or equivalent. (Co-listed with Mech Eng 378, Aero Eng 378 and Elec Eng 378)
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3.00 Credits
Introduction to teaching objectives and techniques. Topics include: using course objectives to design a course; communication using traditional and cutting-edge media; textbook selection; assessment of student learning; grading; student learning styles; cooperative/active learning; and student discipline. Prerequisite: Graduate standing. (Co-listed with Eng Mgt 370, Env Eng 382, Elec Eng 382, Civ Eng 382)
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3.00 Credits
This course provides an introduction to robotics, covering robot hardware, fundamental kinematics, trajectories, differential motion, robotic decision making, and an overview of current topics in robotics. Prerequisite: A "C" or better in both Math 208 and Comp Sci 153. (Co-listed with Comp Sci 345 and Elec Eng 388)
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1.00 - 6.00 Credits
Designed for the undergraduate student who wishes to engage in research. Not for graduate credit. Not more than six (6) credit hours allowed for graduation credit. Subject and credit to be arranged with the instructor.
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1.00 Credits
A complete design cycle. Working in small teams, students will design, document, analyze, implement, and test a product. Topics include: Iteration in design, prototyping, group dynamics, design reviews, making effective presentations, concurrent design, designing for test, ethics and standards, testing and evaluation. Prerequisites: Stat 217, Comp Eng 111, Econ 121 or 122, Sp&M S 85, English 160, Comp Eng 213, 214, 215, and Elec Eng 121.
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3.00 Credits
A continuation of Comp Eng 391. Prerequisite: Comp Eng 391.
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1.00 - 6.00 Credits
Problems or readings on specific subjects or projects in the department. Prerequisite: Consent of the instructor.
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1.00 - 6.00 Credits
This course is designed to give the department an opportunity to test a new course. Variable title. Prerequisite: Consent of the instructor.
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3.00 Credits
Advanced topics of current interest in the field of data mining. This course involves reading seminal and state-of-the-art papers as well as conducting topical research projects including design, implementation, experimentation, analysis, and written and oral reporting components. Prerequisite: Comp Sci 301 Introduction to Data Mining. (Co-listed with Comp Sci 444 and Sys Eng 404)
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3.00 Credits
This course covers fundamentals in VLSI design automation. Topics include logic synthesis, design planning and optimization, placement and routing, parasitic extraction, circuit simulation, timing analysis, design verification and testing. Prerequisite: Comp Eng 311.
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