Park City Mathematics Institute
SSTP Summer 2013 Working Group
Middle School

2013 Index Page
2013 Photos
    2001-2013 Photos
2013 Roster
Class Notes
    Morning Shorts
Daily Schedule
Getting Started
Participant Outreach Activities
Abstracts List

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Send Note: Suzanne & Richard
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Working Groups
Lesson Study
Curvature Group
Elementary
    Place Value K-2
    Whole Number Multiplication
    Fractions
Middle School
    Functions
    Geometry
    Modeling
    Ratio & Proportional Rel.
    Statistics & Probability
High School
    CalcReady
    Geometry
    Mathematical Practices
    Parental Communication
    Statistics
    Algebra
    Tasks Design
    Modeling

Remote Site
E-table - Las Cruces, NM

username/password required
E-mail Addresses
Morning Announcements
Portrait Photos

Forms, Templates, Guidelines

As part of the summer activities, each participant selected for the Summer School Teacher Summer Program will be assigned to a small team that will focus on an activity related to the Common Core State Standards in Mathematics or to related state standards, either for use with students or for professional development with teachers. The assignments will be made based on participant interest and experience as well as the needs identified by schools and districts. The teams will be formed by grade level. The teams will be responsible for producing lesson plans or activities for teachers to use in their classes or workshops and for preparing implementation strategies for dissemination of the materials.

Working group roster

Group topics:
    Functions
    Geometry
    Modeling
    Ratio & Proportional Relationships
    Statistics & Probability

Abstracts

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PCMI@MathForum Home || IAS/PCMI Home
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© 2001 - 2013 Park City Mathematics Institute
IAS/Park City Mathematics Institute is an outreach program of the School of Mathematics
at the Institute for Advanced Study, Einstein Drive, Princeton, NJ 08540

Send questions or comments to: Suzanne Alejandre and Jim King

With program support provided by Math for America

This material is based upon work supported by the National Science Foundation under Grant No. 0314808.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.