Math

This standard geometry course focuses on the principles of Euclidean geometry, including definitions, postulates, and theorems. Key areas of study include:

The course also integrates concepts from analytical geometry and emphasizes strengthening algebraic skills. A significant component involves constructing and analyzing proofs. Students will engage in hands-on learning through a mathematics laboratory, incorporating technology and real-world mathematical modeling.

This advanced geometry course delves into the principles of Euclidean geometry with a focus on definitions, postulates, and theorems. Topics covered include:

The content is examined in greater depth than a standard geometry course, with an increased emphasis on proofs and algebraic problem-solving. Students will also participate in hands-on learning through a mathematics laboratory, incorporating technology and real-world mathematical modeling.

This course focuses on core topics in Algebra 2, with a student-centered pacing that allows ample time for mastering the material.

Additionally, students engage in hands-on learning through a mathematics laboratory, utilizing technology and real-world mathematical modeling to deepen their understanding.

This course explores mathematical concepts both symbolically and graphically. Major topics include:

Within these areas, the course emphasizes transformations, systems of equations, inequalities, applications, and modeling. Students also engage in hands-on learning through a mathematics laboratory, incorporating technology and real-world mathematical modeling to enhance their understanding.

This advanced course examines mathematical concepts through symbolic, graphical, verbal, and numerical approaches. Major topics include:

The topics are explored in depth, emphasizing both skill development and the ability to explain and articulate concepts. Students also engage in hands-on learning through a mathematics laboratory, integrating technology and real-world mathematical modeling to enrich their understanding.

This course covers the topics outlined in the Precalculus curriculum but at a pace and level tailored for a less rigorous experience. Topics include:

Students also engage in hands-on learning through a mathematics laboratory, utilizing technology and real-world mathematical modeling to deepen their understanding. Upon successful completion, students are well-prepared to advance to Discrete Math, AP Statistics, or Calculus.

Precalculus focuses on modeling dynamic phenomena by studying various function types foundational to fields such as mathematics, physics, biology, health science, social science, and data science. Students will deepen their understanding of the nature and behavior of functions through multiple representations, including graphical, numerical, verbal, and analytical approaches. Key topics include:

The curriculum is designed to support algebraic skills as students are prepared for placement in AP Calculus AB. Additionally, students participate in a mathematics laboratory, offering hands-on experience with technology and real-world mathematical modeling to enhance their understanding. This course will prepare students to take the AP Precalculus exam.

AP Precalculus focuses on modeling dynamic phenomena by studying various function types foundational to fields such as mathematics, physics, biology, health science, social science, and data science. Students will deepen their understanding of the nature and behavior of functions through multiple representations, including graphical, numerical, verbal, and analytical approaches. The course provides a comprehensive exploration of precalculus concepts, emphasizing both formal study and real-world applications. Key topics include:

Students also engage in a mathematics laboratory, gaining hands-on experience with technology and real-world mathematical modeling. This course is designed to prepare students for placement in AP Calculus BC.

This conceptual calculus course explores foundational topics, including:

While covering the same material as AP Calculus, the course provides a foundational understanding for students to build upon in future studies. Emphasis is placed on practical applications of calculus in fields such as business, economics, science, and engineering. The course incorporates group collaboration and a mathematics laboratory, enabling students to solve challenging problems and gain hands-on experience with technology to perform real-world mathematical modeling.

This course covers topics such as limits, differentiation, applied maximum/minimum problems, related rates, transcendental functions, and techniques of integration. Following the AP syllabus, it is designed to be roughly equivalent to a semester and a half of a college calculus course. This course is recommended for students who have demonstrated strong analytical and mathematical skills in prior courses, and who can quickly grasp and apply new concepts. Students should be prepared to devote significant time to daily homework and preparation and are committed to taking the AP examination. A mathematics laboratory is included, providing students with handson experience using technology and engaging in real-world mathematical modeling. This course is recommended for students who have earned a B- or higher AP Precaclulus or a B or higher in Precalculus.

This course covers all topics included in AP Calculus AB, with additional topics such as Euler’s method, advanced techniques of integration, infinite series, vectors, and polar and parametric functions. Following the AP syllabus, this course is designed to be equivalent to two semesters of a college-level calculus course. It is recommended for students who have demonstrated excellent analytical and mathematical skills in prior courses and have the ability to quickly understand and apply new concepts. Students should be prepared to dedicate significant time to daily homework and preparation. A mathematics laboratory is incorporated to provide students with hands-on experience using technology and real-world mathematical modeling. This course is recommended for students who have earned an A- or higher in AP Precalculus or an A+ in Precalculus.

This course introduces key concepts and tools for collecting, analyzing, and drawing conclusions from data. Students will explore nine topics:

Following the AP syllabus, students in this course commit to taking the AP examination. The curriculum incorporates computer simulations, real-world studies, and hands-on experiences with technology and real-world mathematical modeling to enhance students’ understanding and application of statistical concepts.

This course explores the role of data in society and how it can be used to identify patterns and solve problems. Students will work on project-based units covering topics such as:

Projects will introduce students to key concepts in data science using free tools like Google Sheets, CODAP, Tableau, and Python. This handson course will help students develop skills in using spreadsheets, building visualizations, and basic programming, which can be applied to future STEM courses such as Discrete Math, AP Statistics, AP Computer Science, AP Environmental Science, and Experimental Psychology.

This course serves as a foundational introduction to the field of game theory, exploring the principles of strategic decision-making. The curriculum is divided into three major units:

• Two-person zero-sum games
• Non-zero-sum games
• N-person games

Key topics include the Prisoner’s Dilemma, Nash Equilibrium, games against nature, utility theory, and a variety of applications in fields such as economics, computer programming, logic, and political science. The course incorporates a Mathematics laboratory component, providing students with hands-on experience using technology and real-world mathematical modeling.

This introductory course in Abstract Mathematics focuses on teaching students how to read and write formal proofs. Key topics include:

The course incorporates a Mathematics laboratory component, providing students with hands-on experience using technology and real-world mathematical modeling.

Linear algebra is a key branch of pure mathematics and a crucial tool in various applications, including finance, cryptography, stochastic processes, web search, and image processing. This course introduces the foundational concepts of linear algebra, covering topics such as:

Time and resources permitting, students will also use computing technologies to explore and apply linear algebra in real-world scenarios.

The Applications in Data Science course builds on concepts introduced in the Introduction to Data Science course, covering topics such as:

Students will work on project-based assignments that involve using coding tools like Python and R-Studio to clean and prepare raw data for problem-solving. These projects will include techniques such as sorting, machine learning, web scraping, advanced data visualization, and applications of artificial intelligence.

This course reviews concepts from single-variable calculus and extends them to functions of two or more variables. Key topics include:

The course emphasizes understanding these topics from analytical, numerical, and graphical perspectives. A mathematics laboratory is included for hands-on experience with technology and real-world mathematical modeling.