**Pre-Algebra****Course:** MA138SELA, MA138SELB**Length & Credit:** 2 trimesters/1 credit**Grade(s):** 9, 10

This course is designed for students who require additional preparation for algebra. Topics in the classes will include: calculations and estimations, statistics and probability, algebraic relations, measurements, geometry and mathematical problem solving.

**Algebra 1****Course:** MA110SMAA, MA110SMAB**Length & Credit:** 2 trimesters/1 credit/ MA**Grade(s):** 9, 10, 11, 12**Prerequisites:** None

This is the first course in the general high school mathematics sequence for college preparation. Emphasis will be placed on investigative thinking and application. Students will study such areas as the field properties of the real numbers, linear and quadratic equations, factoring, inequalities, rational expressions, theory of exponents, radicals, statistics and other unified topics.

**Geometry****Course:** MA120SMAA, MA120SMAB**Length & Credit:** 2 trimesters/1 credit/ MA**Grade(s):** 9, 10, 11, 12**Prerequisites:** Successful Completion of Algebra 1 or Algebra Studies 1

This course is designed to help students understand deductive and inductive reasoning. Students will use investigative thinking and apply their discoveries to form theorems. Students are taught to relate the theoretical to the practical.

**Algebra 2****Course:** MA130SMAA, MA130SMAB**Length & Credit:** 2 trimesters/1 credit/ MA**Grade(s):** 10, 11, 12**Prerequisites:** Successful Completion of Geometry

This course is a college preparatory course and is required by the Oregon University system. Students who plan on going into fields where mathematics is involved – family and consumer studies, business, science, computer science and engineering should take this course as well. Course topics include functions, linear and quadratic relations, systems, radicals, trigonometry, polynomials, exponential, and logarithmic functions.

**CN PreCalculus ****Course:** MA200CMAA, MA200CMAB**College Now: CN MATH 111/112****Length & Credit:** 2 trimesters/1credit/ MA**Grade(s):** 11, 12**Prerequisites:** Successful Completion of Algebra 2**College Credit:** SOU, 4 or 8 credits, $180 per course.**Weighted GPA:** 5.0 scale

This course is an investigation of topics that are used in the study of calculus. Precalculus consists of two separate courses, College Algebra and Trigonometry. In College Algebra, students study equations and graphs of linear, quadratic, polynomial, rational, exponential, and logarithmic functions. In Trigonometry, students study theoretical and real-world implications of the trigonometric functions. Solving problems analytically, numerically, and graphically will be emphasized.

**AP Calculus AB ****Course:** MA250AMA1, MA250AMA2, MA250AMA3**College Now: CN MATH 251/252****Length & Credit:** 3 trimesters/1.5 credit/ MA **Grade(s):** 12**Prerequisites:** Successful Completion of Precalculus**College Credit:** SOU, 4 or 8 credits, $180 per course**Weighted GPA:** 5.0 scale**AP Fee:** Near the end of the course, there will be an exam that requires a fee (see page 4 for more details).

Your decision to take an AP course is also a commitment to complete the entire course – casually dropping the course is not an option and requires a meeting with administration. This course covers the topics specified in the College Board Course Description for AP Calculus AB. Topics covered include functions and their graphs, limits, derivatives, and integrals. Emphasis will be given to derivatives as rates of change, local linear approximation using tangent lines, and integrals as models of accumulation. Calculus is required by college programs involving advanced mathematics such as science, computer science, and engineering.**Data Science & ****Statistics****Course:** TBD**Length & Credit:** 1 trimester/0.5 credit/ MA**Grade(s):** 9,10,11, 12**Prerequisites:** Successful Completion of Algebra 1 This introductory data science course applies statistical modeling, introductory programming, and analysis to real-world datasets, allowing participants to answer questions and use data to back up their conclusions. Participants learn sound programming practices and statistics including bar charts, pie charts, histograms, scatter plots, measures of center, and linear regression.