• All Academy students are to have completed Algebra I prior to their freshman year.  All math classes that we offer, must be taken here.  Math courses taken outside of our school are for enrichment only.


    Geometry, Honors (Prerequisite: Algebra I)

    Honors Geometry is an accelerated course that covers more topics in depth than a typical geometry course.  This course requires excellent algebra skills and develops an understanding of the meaning and nature of mathematical proof.  Other topics include similarity, circles, area, volume, coordinate geometry and an introduction to trigonometric functions and their applications to right triangles. 

    Algebra II, Honors (Prerequisite: Geometry, Honors)

    This course will teach algebraic methods and graphing techniques with a special emphasis on problem-solving.  It is a course for students with superior mathematical skills.

    Pre-calculus, Honors (Prerequisite: Algebra II, Honors)

    This course covers a wide array of topics used in calculus, including exponential and logarithmic functions, trigonometry, polar and parametric equations.  Students will be prepared to take the Math Level 2 SAT subject test in June.

    AP Calculus AB (Prerequisite: Pre-calculus, Honors)

    This course covers functions, limits, continuity, the differential and integral calculus of algebraic, trigonometric, and other transcendental functions.  Topics will include some applications such as related rates, maximum-minimum problems, areas, and volumes.  Students will use graphing calculators as an integral part of the instruction.   Students will be prepared to take the AP Calculus AB exam in May.

    AP Statistics

    This course will teach students an understanding of the concepts and techniques of data analysis and probability.  Topics will include an introduction to statistics, measures of central tendency, basic concepts of probability, conditional probability, probability distributions, binomial distributions, confidence intervals, hypothesis testing, independent and dependent samples, correlation and regression.