Interactive Mathematics Program

An integrated high school mathematics curriculum designed to challenge ALL students with a four-year sequence of college preparatory mathematics.

The Interactive Mathematics Program is an integrated, problem-based curriculum that offers challenging content and emphasizes mathematical reasoning. Designed and field-tested with support from the National Science Foundation, IMP has demonstrated in schools throughout the country that the successful study of advanced mathematics is an achievable standard for all students.

The benefits of IMP

• IMP's integrated, problem-based curriculum helps you teach challenging content in an approachable way that leads to student success. IMP has demonstrated in schools throughout the United States and Canada that learning advanced mathematics is an achievable standard for all students.
• IMP's stimulating problems and projects will help you teach your students to think creatively and critically. You can be sure that they will develop strong mathematical reasoning skills and the ability to use multiple strategies to solve problems.
• You'll be able to keep students interested and engaged with intriguing problems based on real-world situations, as well as fanciful scenarios.
• You will see your students become better mathematics communicators as they present their solutions and mathematical reasoning to small groups and to the entire class.
• You will be able to easily differentiate instruction as students work through hands-on activities.
• IMP's in-depth, over-time approach allows you to consistently prepare students for high-stakes exams.
• Doing stimulating, problem-based work inspires IMP students to take more years of college-prep mathematics than non–IMP students.

With IMP, you'll not only teach the subject matter generally covered in Algebra 1, Geometry, Algebra 2, and Precalculus, but also delve into advanced topics that are not traditionally covered. For example, in the Year 2 unit Cookies, students apply their knowledge of linear equations to solve complex linear programming problems.