Course Overview

Integrated Math 2 A is the first course in the second-year Integrated Math sequence, designed to expand students' understanding of the interconnected nature of algebra, geometry, and statistics. Building upon concepts from Integrated Math 1, this course emphasizes the study of quadratic expressions, equations, and functions, while comparing their behavior to linear and exponential relationships previously learned. Students also explore probability, data analysis, and the formal language of mathematical argument and justification.

Key Learning Focus

Students will:

• Analyze and interpret quadratic equations and functions, extending their comparison to linear and exponential models.
• Explore the structure of mathematical arguments, developing skills in justification and proof.
• Study probability and statistical inference, including how to make and justify conclusions from data.
• Apply algebraic, geometric, and statistical reasoning to authentic real-world scenarios.

Instructional Approach

The course emphasizes active, project-based learning that engages students in:

• Solving practical problems involving quadratics.
• Investigating patterns and mathematical structures.
• Making and testing conjectures about geometric figures.
• Applying mathematics across professional and academic fields.

This approach fosters deeper understanding, critical thinking, and effective problem-solving skills, while reinforcing the relevance of mathematics in everyday life and career contexts.

Academic Alignment

Integrated Math 2 A is a semester-long, intermediate-level course aligned with state and national mathematics standards. It is part of the 9–12 Mathematics Program and supports pathways in the STEM career clusters.

Outcome

By the end of Integrated Math 2 A, students will be equipped with the skills to advance into Integrated Math 2 B, and ultimately, higher-level mathematics. This course provides the rigorous preparation necessary for advanced study, potential college credit opportunities, and success in STEM fields such as engineering, data science, and technology.