Course Overview

Algebra 2 B, Part 1 advances students' study of algebra by introducing exponential and logarithmic reasoning, series, and modeling through functions. Building on prior learning from Algebra 2 A, this course emphasizes not only solving problems but also understanding mathematical structures, communicating ideas with precision, and applying concepts in meaningful, real-world contexts.

Key Learning Focus

Students will develop skills and fluency in:

• Logarithms and their properties.
• Exponential and logarithmic functions, including applications and problem-solving.
• Finite geometric series and their real-world uses.
• Storytelling with functions, representing real-world situations with algebraic models.

Instruction is aligned with the Standards for Mathematical Practice, ensuring that students strengthen both their conceptual understanding and procedural fluency.

Instructional Approach

Daily lessons emphasize active engagement, with visual representations, peer-led demonstrations, and problem-solving tasks that connect abstract algebraic ideas to concrete applications. Students are encouraged to share their reasoning, justify solutions, critique arguments, and explore multiple solution strategies.

Real-World and 21st-Century Applications

The course integrates 21st-century skills by showing how algebraic reasoning supports decision-making, data analysis, and modeling across fields such as science, technology, business, and social sciences. Peer demonstration videos and real-world examples further highlight the relevance of advanced algebra.

Growth Mindset and Student Success

Algebra 2 B, Part 1 fosters a growth mindset, reminding students that productive struggle and mistakes are essential to learning. Students develop resilience, adaptability, and confidence while tackling increasingly complex problems.

Outcome

By the end of Part 1, students will have a solid understanding of exponential and logarithmic reasoning and be prepared to continue into Algebra 2 B, Part 2, where they will explore statistical analysis, data modeling, and conclusions drawn from experimental data.