Course Overview

Integrated Math 3 A is an academically rigorous course that highlights the interconnected nature of advanced mathematical principles. As the first half of the third-year Integrated Math sequence, this course focuses on the interpretation and application of functions, advanced statistical analysis, and geometric transformations. Students engage in the study of polynomial, rational, and radical functions, as well as inferential statistics, while deepening their understanding of congruence and similarity through transformational geometry.

Key Learning Focus

Students will:

• Interpret and analyze polynomial, rational, and radical functions.
• Apply statistical methods, including the design of experiments and inferential reasoning.
• Explore geometric transformations to understand congruence and similarity.
• Build and test mathematical models to address authentic real-world problems.

Instructional Approach

The course employs active, project-based learning to bring mathematics to life. Students will:

• Develop and refine mathematical models for problem-solving.
• Design and conduct statistical experiments to interpret data.
• Construct and manipulate geometric figures to explore transformational relationships.

This approach ensures that students not only gain mastery of concepts but also develop critical thinking, analytical reasoning, and problem-solving skills applicable across academic and career pathways.

Academic Alignment

Integrated Math 3 A is a semester-long course within the 9–12 Mathematics Program, aligned with state and national standards. It serves as the foundation for Integrated Math 3 B and provides essential preparation for Advanced Placement (AP) mathematics courses and college-level study.

Outcome

By the end of Integrated Math 3 A, students will have acquired the skills to confidently transition into Integrated Math 3 B. They will be well-prepared for advanced mathematical study, AP coursework, and future opportunities in STEM-related fields such as engineering, computer science, finance, and data analysis.