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Course Criteria
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0.00 Credits
Laboratory experiences in advanced remediable intra-oral dental tasks and/or procedures involved in the art and placement of restorative materials including amalgam and nonmetallic restorative materials including resin restorations. Restricted to Majors
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6.00 Credits
This course is the third in a three-part series for the Expanded Functions Dental Auxiliary Program. Greater emphasis on topics covered in EFD 1202 is examined. Detailed concepts with regards to amalgam, esthetic and preventive resins are discussed. Concepts involving Class IV resin restorations and dental sealants are introduced. Mock boards are included. Three classroom, four lab hours per week, plus ten hours of co-op experience per week in a dental office. Prerequisite: EFD 1202 and Restricted to Majors
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0.00 Credits
Laboratory experiences in advanced remediable intra-oral dental tasks and/or procedures involved in the art and placement of preventive or restorative materials including amalgam, dental sealants and nonmetallic restorative materials including resin restorations.
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0.50 - 9.00 Credits
Varied content offering of special interest to the discipline but not covered within existing courses; may be scheduled in a classroom/ seminar setting or in nontraditional format.
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3.00 Credits
Utilization of general/specialized hand/ power tools that are typically used in the electromechanical industry; use of various dimension measurement devices; simple machine repair procedures from belt replacement to complete subsystem repair; drilling, reaming and tapping holes for various mechanical fasteners. Elementary industrial machine wiring principles; schematics, panel layouts, assembly and wiring techniques. One classroom, four lab hours per week. Prerequisite: EET 1120
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4.00 Credits
An overview of math topics used in engineering courses: algebra, trigonometry, vectors, complex numbers, sinusoids, systems of equations, matrices, differentiation, integration, differential equations. All math topics are presented within the context of engineering applications, reinforced through examples from engineering courses. Also introduces the engineering analysis software Prerequisite: MATLAB. Three classroom, two lab hours per week. Prerequisite: MAT 1290 or MAT 1570
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3.00 Credits
Presents an overview of the Intelligence Community (IC), the origin and purpose of the IC, its current structure and the diverse roles and missions of its members. Students will study the intelligence cycle, the heart of the IC, by examining the entire process used for creating intelligence: identifying requirements; tasking appropriate agencies and systems to collect data; the processing, exploiting and analyzing of the data and the production and delivery of timely, accurate and relevant intelligence products. This course will also introduce students to operations and communications security, counterintelligence and covert action, homeland security, intelligence oversight and ethics. Two classroom, two lab hours per week. Prerequisite: Approval of Department
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3.00 Credits
This course emphasizes the science, technology and applications of remote sensing, bringing together related information in materials science, physics, optics, electronics, computer processing and other disciplines. Students completing this course will be equipped to approach problems ranging from environmental to social to industrial data gathering and interpretation. Two classroom, two lab hours per week. Prerequisite: MAT 1280 and Prerequisite: Approval of Department
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3.00 Credits
This course serves as an introduction to automated systems. The basics of sensors, logic control systems, motion control systems, robotics and flexible manufacturing systems will be covered. The course will be taught using demonstration and discussion combined with individual and team centered projectbased learning. One classroom, four lab hours per week.
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4.00 Credits
Introduction to basic sensors used in Computer Integrated Manufacturing (CIM) systems. Theory of operation, wiring, installation, testing and troubleshooting sensors and circuits. The analysis of various methods of utilizing vision systems in industrial applications using camera, lighting and software. Three classroom, three lab hours per week. Prerequisite: EET 1120 and EGR 1128
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