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You are here: Home / Departments / Professional Development Opportunities at JMM 2014

Professional Development Opportunities at JMM 2014

November 1, 2013 Leave a Comment

Registration continues for two pre-conference workshops offered by the Consortium for the Advancement of Undergraduate Statistics Education (CAUSE) on January 14, 2014, the day before the opening of the MAA-AMS Joint Mathematics Meetings (JMM) at the Baltimore, Maryland, Marriott Inner Harbor. This is the seventh consecutive offering of pre-conference workshops at JMM by CAUSE. If you are attending the Joint Math Meetings, consider arriving a day early to take advantage of these no-cost professional development opportunities. Advance registration is required, as space is limited.

Teaching the Statistical Investigation Process with Randomization-Based Inference, a full-day workshop (9:00 a.m. – 4:30 p.m.), is intended for faculty members who have experience with or soon will be teaching introductory statistics. The workshop will provide direct experience with hands-on activities designed to introduce students to fundamental concepts of inference using randomization-based methods. The learning activities involve using freely available applets to explore concepts and analyze real data from genuine research studies.

Interactive Probability Instruction, an afternoon workshop (1:30 p.m. – 4:30 p.m.), will introduce participants to novel web-based technologies for blended teaching of computational statistics and applied probability theory. The topics and techniques are suitable for introductory and cross-listed applied probability and statistical methods courses. The workshop is designed to be accessible to those with little or no computational background and will provide you with skills, examples, and resources you can use in your own teaching.

Both workshops are supported by NSF funding, CAUSE, and MAA. Additional information and registration are available at CAUSEweb.org.

Filed Under: Departments, Education Tagged With: AMS, CAUSE, Education, JMM, MAA, statistics

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