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THE RIGHT STUFF still music to your ears Robert L Kimball Jr Kathleen Almy S054 – Thursday – 1:50-2:40.

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Presentation on theme: "THE RIGHT STUFF still music to your ears Robert L Kimball Jr Kathleen Almy S054 – Thursday – 1:50-2:40."— Presentation transcript:

1 THE RIGHT STUFF still music to your ears Robert L Kimball Jr Kathleen Almy S054 – Thursday – 1:50-2:40

2 THE RIGHT STUFF An AMATYC project that was funded, in part, by a grant from the National Science Foundation: DUE Rob Kimball and Kathy Mowers, Co-PIs

3 THE RIGHT STUFF Planning Team: David Graser, Margie Hobbs, Jerry Kissick, John Peterson Participants: Norma Agras, George Alexander, Stefan Baratto, Richelle Blair, Connie Buller, Dana Calland, Cathy Cantin. Cheryl Cleaves. Bruce Crauder, Jane Damaske, Anne Dudley, Marcial Echenique, Dan Fahringer, Rob Farinelli, Susan Ganter, Lawrence Gilligan, Mel Griffin, Jim Ham, Vernon Kays, Mike Martin, Beverly Michael, Jeff Morford, Kathy Rodgers, L. Jeannette Ward, Gary Whalen, Jo-Ann Williams, Frank Wilson, Chris Yarrish, Lisa Yocco

4 1. Ma and Pa Talk Mathematics: Reading graphs and modeling 2. Generator Math: Linear modeling 3. Super Snacks: Quadratic modeling 4. Data Mining: Set theory and conditional probability 5. Soap Bubbles, Cheesecake Factories, Cell Towers: Linear equations and Voronoi diagrams 6. Hurricanes–This Will Blow You Away: Quadratic functions 7. A Slice of Liver: Linear functions 8. Bioequivalence – Give me the cheap drugs: Logarithms and exponents 9. Crop Circles: Area and optimization 10. Minimizing Distance: Geometry, modeling, and optimization 11. What Happens If …: Problem solving and multiple representations of functions 12. Looking Into The Future … Value: Linear and exponential functions 13. Reading and Interpreting Graphs 14. Limitations of Modeling: Introduction to the Sine Function 15. Piecewise Functions 16. Compound Interest: Linear functions 17. Compound Interest: Power functions and Exponential 18. Archimedes’ Law 19. Understanding the Standard Deviation: Mean and standard deviation 20. Boxes and Cylinders

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6 THE RIGHT STUFF Kathleen Why you were looking for material What you found (contextually-based material that engages students… yadda….) What about the R S was good What you did with it

7 THE RIGHT STUFF PCAST (Engaging to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics) slams mathematics community.

8 THE RIGHT STUFF In order to achieve this goal, we must enable an increasingly diverse cohort of students to acquire core mathematical concepts and basic mathematical reasoning. A solid foundation in mathematics is essential for successful STEM education, for this paves the way for flexibility in a changing workforce environment.

9 THE RIGHT STUFF In order to achieve the president's goal of greatly increasing the number of well-prepared STEM graduates, heightened efforts need to be made to adjust the curricula of mathematics courses for STEM students so that the material effectively reflects the mathematics that arises in STEM fields

10 THE RIGHT STUFF Fueling Innovation and Discovery The Mathematical Sciences in 2025 The National Academies Press

11 THE RIGHT STUFF Kathleen Talk about the piece-wise module from the right stuff

12 THE RIGHT STUFF Right Stuff material is intended to provide faculty with examples of how to utilize technology, use the rule of four, use the modeling process, and engage students in non-traditional problems.

13 THE RIGHT STUFF Ideas for new Right Stuff Modules ● Market Basket Analysis (Recommender Theory) – Big Data

14 THE RIGHT STUFF How Does Amazon Know What You Want?

15 THE RIGHT STUFF How Does Amazon Know What You Want?

16 THE RIGHT STUFF Ideas for new Right Stuff Modules ● Topology – Graph Theory – Big Data

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18 Each red dot represents at least one student and is denoted by a POINT in the student layer. The student layer contains geographic as well as academic data about each of the 17,572 K-12 students.

19 THE RIGHT STUFF Queries Into Big Data - Attribute Table IDSchoolGradeStreet #StreetFRLAGEOG East3132Adam West114234Booker West9324Carlton East4144David South623Eden South1242Frank005 Grade 5 AND (FRL=1 OR AG=1)

20 THE RIGHT STUFF Queries Into Big Data - Visual Representations of Data

21 Median Income (ACS 2011)

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23 THE RIGHT STUFF Bayesian Statistics

24 THE RIGHT STUFF Right Stuff material can often provide faculty with the seed for an idea for their own project.

25 THE RIGHT STUFF Kathleen How you took an idea from the R S and produced something for yourself


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