List of 8 items.

• Calculus A/B

  This course covers the study of Differential and Integral Calculus. Differential Calculus includes the study of limits, continuity, and derivatives of algebraic, transcendental, and trigonometric functions. Applications of the derivative include optimization, related rates, examples from the natural and social sciences, and graphing of functions. Integral Calculus includes the study of definite integrals and areas, the fundamental theorems of calculus, techniques of integration, computation of volumes, arc length, average of a function, separable differential equations and slope fields and applications to physics, chemistry, and engineering. Students are expected to have and use a Texas Instruments programmable graphing calculator.

• Computer Science 1/2

  In our computer science series, students learn and practice using algorithmic thinking for problem-solving, and gain an introduction to computer programming.

• Discrete Math

  This course covers combinatorics, probability, matrices, sequences, series, and recursively defined functions. The course may also include an introduction to programming the TI‑83 Plus calculator.

• Examining Media as a Mirror: A Statistical and Visual Approach to Deconstructing False Narratives

  Who does the media say we are? What does it mean if we are seeing our reflections in a false media mirror? How can we analyze and describe the types of distortions that we are seeing?

  
  

  Students will use a statistical and visual art approach to explore the portrayal of various demographics in the media. How are non-dominant groups such as women, racial and ethnic minorities and LGBT people in the media portrayed? How are dominant groups portrayed? How do these stories shape the narratives in which we all live?

  
  Students will examine metrics such as screen time, dialogue, and casting through statistical tools such as t-tests, chi-square tests, and linear regressions to reveal the underlying distortions in what we see. They will then use visual art techniques such as compilation, montage, and the film essay to explore and deconstruct clichés and stereotypes and create graphs of discovered data, trends and patterns to explore and process the data. The final project will be a self-portrait that explores the ideas of false mirrors versus authentic narrative.
  
  This course awards credit toward the Social Justice requirement. 

• Introduction to Linear Algebra

  In this class students will use matrices to learn how linear algebra is being applied in various fields. The class will cover content including matrix operations, row-reductions, determinants, vector space, eigenvalues, and transformations. From this course students will be able to further their understanding of the connection between geometry and algebra. In addition, students will further their logical thinking while being introduced to different abstract topics in mathematics. This course will expose students to higher-level mathematics that will better prepare them for the rigors of a college math program.

• Math Modeling

  The aim of this class is to introduce students to the basic concepts of applied statistics and data science. Students will learn how to clean and filter data, analyze large data sets, how to utilize math modeling programs, data visualizations techniques, and how to create and interpret math models. Though coding will be utilized in this course, no experience with coding is required.

• Robotics Design

  Robotics Design is a course designed for students who are interested in the design and engineering of robots. Students will study past, current, and future use of automation technology in industrial and everyday use. Through a comprehensive overview of robotic systems and the subsystems that comprise them, students will work in teams to design, build, and document their progress. There will be class competitions and engineering challenges using the remote-controlled VEX robotic system to provide students with opportunities to apply their knowledge to robotic systems.

• Statistics

  The study of statistics applies the calculations and deductive thinking of mathematics to the real-world problems of the social sciences, the decision‑making needs of medicine and business, and the laboratory methods and experimental procedures of the natural sciences. This course covers descriptive statistics including the standard deviation and the normal distribution, and inferential statistics, including sampling and confidence intervals, the chi‑square test, and curve fitting.