• Math

    Intermediate Algebra A/B

    • Credit: Two trimesters = one credit
    • Major outcomes: Students will understand how linear, absolute value, quadratic and polynomial relationships exist between real-world situations, mathematical equations and graphs. They will understand how to use equations and inequalities to model real-world situations and find reasonable solutions.

     

    Geometry A/B

    • Credit: Two trimesters = one credit
    • Major outcomes: Geometry builds upon students' command of geometric relationships and formulating mathematical arguments. Students learn through discovery and application, developing the skills they need to break down complex challenges and demonstrate their knowledge in new situations. Course topics include reasoning, proof, and the creation of sound mathematical arguments; points, lines, and angles; triangles and trigonometry; quadrilaterals and other polygons; circles; congruence, similarity, transformations, and constructions; coordinate geometry; three-dimensional solids; and applications of probability.
     
    Advanced Algebra
    • Prerequisites: Intermediate Algebra A & B
    • Credit: One trimesters = 0.5 credit
    • Major outcomes: Students will understand how linear, absolute value, quadratic and polynomial relationships exist between real-world situations, mathematical equations and graphs. They will understand how to use equations and inequalities to model real-world situations and find reasonable solutions.
     
    Statistics and Probability
    • Prerequisites: Intermediate Algebra A & B
    • Credit: One trimesters = 0.5 credit
    • Major outcomes: Probability and Statistics provides a curriculum focused on understanding key data analysis and probabilistic concepts, calculations, and relevance to real-world applications. Through a "Discovery-Confirmation-Practice"-based exploration of each concept, students are challenged to work toward a mastery of computational skills, deepen their conceptual understanding of key ideas and solution strategies, and extend their knowledge in a variety of problem-solving applications. This course covers topics such as types of data; common methods used to collect data; and the various representations of data, including histograms, bar graphs, box plots, and scatterplots. Students learn to work with data by analyzing and employing methods of prediction, specifically involving samples and populations, distributions, summary statistics, regression analysis, transformations, simulations, and inference.