
All Academy students are to have completed Algebra I prior to their freshman year. All Academy students will take a minimum of 4 years of mathematics during their high school career. Students may be placed into advanced mathematics based upon proof of completion and success
Geometry, Honors
Prerequisite: Algebra IHonors 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 algebraicmethods and graphing techniques with a special emphasis on problem solving. Itis a course for students with superior mathematical skills.
Precalculus, 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: Precalculus, 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, maximumminimum 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.
Statistics, Honors
This course will teach students an understanding of the concepts and techniques of data analysis and probability. Topics include: 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.