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Free Workshop and Equipment Math Machines: Connecting Math, Science and Technology Friday, Dec. 2, 2011, 9:00 am to 4:00 pm at Sinclair Community College, Dayton, Ohio Wednesday, Jan. 4, 2012, 8:30 am to 3:30 pm at Lansing Community College, Lansing, Michigan Community Colleges have long been leaders in the integration of STEM disciplines and the application of math and science to real-world tasks. Under this NSF-funded program, community college faculty who participate in either of these workshops, will each receive 2 "math machines" (a "Function Plane" and an "RGB Color Mixer") which their students can control using free-form algebraic functions. The Function Plane allows positioning of a laser pointer, mirror, gear, and much more with 0.1° precision. The RGB Color Mixer provides independent mathematical control of the three component colors, displayed as graphs, on-screen, and through an external 3-color LED. Participants will also receive a Vernier SensorDAQ interface and a CD with all necessary control software along with classroom activities in Word format. Math Machine activities engage students in designing and testing mathematical functions that control engineering-style physical systems and display immediate, physical and dynamic results. These workshops builds on an 11-year series of summer workshops for high school and college teachers conducted by math and physics faculty from Sinclair Community College in Dayton, Ohio. Participants will have an opportunity to apply for additional Math Machines for students to use in small groups. There is no charge for the workshop or the equipment, but space is limited and pre-registration is required. Multi-disciplinary teams are particularly encouraged. To pre-register, simply email fred.thomas@mathmachines.net stating:
Participants or their schools are responsible for travel expenses. Please bring your own Windows laptop computer on which you can install the control software. Learning with Math Machines, Inc. is an independent, non-profit 501(c)(3) organization This project is supported in part by the National Science Foundation's Advanced Technological Education Program through grant DUE-1003381.
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