MATH 2
SY 2025-2026
Course Description
NC Math 2 builds upon concepts from Math 1, deepening students’ understanding of functions, equations, inequalities, and geometry. Students will explore quadratic, square-root, inverse variation, and right-triangle trigonometric functions, as well as systems of equations, transformations, probability, and statistical modeling.
The course emphasizes problem-solving, mathematical reasoning, and real-world application, following North Carolina’s Standards for Mathematical Practice.
UNIT 1 – Transformations of Functions and Geometric Objects
UNIT 2 – Similarity and Congruency
UNIT 3 – Quadratic Functions
UNIT 4 - Square Root and Inverse Variation Functions
UNIT 5 - Relationships in Triangles
UNIT 6 - Probability
Student Learning Outcomes
By the end of this course, students will be able to:
· Model real-world situations with equations, inequalities, and functions.
· Solve and interpret quadratic, square-root, and inverse variation problems.
· Analyze and compare functions across multiple representations (graphical, tabular, symbolic, verbal).
· Apply right-triangle trigonometry to geometric and applied contexts.
· Use probability and statistics to make inferences and predictions.
· Communicate mathematical reasoning clearly and precisely.
MATH 4
SY 2025-2026
Course Description
Math 4 is North Carolina’s capstone high school mathematics course, deepening students’ exploration of algebra, functions, trigonometry, and statistics. This course blends complex numbers, matrix and vector operations, logarithmic and trigonometric modeling, and regression analysis to prepare students for college-level algebra, precalculus, or introductory statistics.
UNIT 1 – Function Compositions
UNIT 2 – Regression Modeling and Residual Analysis
UNIT 3 – Logarithmic Functions
UNIT 4 - Trigonometry
UNIT 5 – Complex Numbers, Matrices, and Vectors
UNIT 6 – Exploratory Data Analysis
Student Learning Outcomes
By the end of this course, students will be able to:
· Perform and apply operations with complex numbers, matrices, and vectors.
· Use function composition, analyze logarithmic functions, and interpret piecewise functions.
· Model real-world phenomena through trigonometric functions (sine, cosine: amplitude, period, phase shifts).
· Construct regression models (linear, quadratic, exponential, logarithmic, sinusoidal), analyze residuals, and assess goodness-of-fit.
· Design statistical investigations, apply statistical inference, and use probability distributions to make decisions under uncertainty.
· Engage in the Standards for Mathematical Practice such as problem-solving, modeling, precise reasoning, and reflection