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Math 10 (Algebra II Honors)

Math 10 (Algebra II Honors) – Summit College Preparatory

Math 10 (Algebra II Honors)

Course Overview

Algebra II Honors is an accelerated and enriched mathematics course that extends foundational algebra into advanced concepts in preparation for Precalculus, AP Calculus, and AP Statistics. This course builds deep conceptual understanding of functions, algebraic structures, and mathematical modeling. Students engage in intensive reasoning, multi-step problem solving, and real-world applications aligned with Florida B.E.S.T. benchmarks and College Board SAT/PSAT domains.

Honors students apply critical thinking to explore polynomial, rational, exponential, logarithmic, and radical functions, as well as sequences, series, complex numbers, and advanced data analysis. The course emphasizes algebraic fluency, function transformations, and conceptual abstraction, preparing students for higher mathematics and STEM pathways.

Learning Outcomes by Quarter

  • Quarter 1: Extend polynomial operations, solve higher-degree equations, and analyze complex roots graphically and algebraically.
  • Quarter 2: Master rational, radical, and absolute value functions with constraints, discontinuities, and domain analysis.
  • Quarter 3: Investigate inverse functions, exponentials, and logarithms, including base changes and real-world exponential modeling.
  • Quarter 4: Synthesize knowledge through systems of nonlinear equations, sequences/series, data modeling, and advanced SAT-aligned tasks.

Instructional Methods

This course uses honors-level pedagogies including project-based inquiry, graphing and symbolic exploration, SAT/PSAT prep modules, digital simulations, and group investigations. Instruction emphasizes advanced justifications, modeling multiple representations, and abstract reasoning. Frequent feedback supports deep learning and independence.

Assessment and Grading

Category Weight
Unit Exams & Major Projects40%
Quizzes & Concept Checks25%
Homework & Mathematical Writing15%
Participation & Collaboration10%
Enrichment/Challenge Tasks10%

Anchor Topics Justification

  • Polynomial & Rational Functions: Strengthens structure, domain, asymptotic behavior, and function graphing.
  • Logarithmic and Exponential Analysis: Critical for STEM modeling, scientific notation, and real-world decay/growth problems.
  • Complex Numbers & Nonlinear Systems: Supports deeper algebraic understanding and prepares for Precalculus and physics.
  • Sequences, Series, and Statistics: Links algebraic reasoning with data science, finance, and algorithmic design.

College Board – SAT Crosswalk

College Board Domain Integrated Skills in Algebra II Honors
Heart of AlgebraMulti-step equations, inequalities, and modeling linear systems
Problem Solving and Data AnalysisAdvanced graph interpretation, statistical models, data sets
Passport to Advanced MathPolynomials, functions, radicals, logarithmic manipulation
Modeling & ReasoningQuantitative modeling, function comparisons, symbolic fluency

Unit Overview

Quarter Unit Title Florida B.E.S.T. Benchmarks College Board Focus Skills
Q1Advanced Polynomials & Complex RootsMA.912.AR.4.1, MA.912.NSO.1.1Factoring, end behavior, imaginary solutions
Q2Rational, Absolute Value & Radical FunctionsMA.912.AR.3.4, MA.912.AR.2.2Asymptotes, transformations, domain analysis
Q3Exponentials, Logarithms & Inverse FunctionsMA.912.F.1.4, MA.912.F.1.5Inverse relationships, base changes, function shifts
Q4Sequences, Series, Systems & Data ModelsMA.912.DP.1.1, MA.912.AR.3.5Recursive patterns, statistical trends, system solving

Academic Vocabulary Matrix

Category Key Terms Contextual Application
Polynomial StructuresMultiplicity, Turning Point, Conjugate RootUsed in graphing and factorization of functions
Rational & Logarithmic AnalysisVertical Asymptote, Base Change, Extraneous SolutionApplied in real-world function modeling
Advanced FunctionsInverse, Composition, TransformationUsed in layered function modeling
Data & SequencesGeometric Series, Recursive Rule, ResidualUsed in analysis of trends and functional modeling
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