Coursework will cover introductory and advanced 3D modeling, introduction to simulation, manufacturing design principles, and project management. This course uses the open-source modeling software Autodesk Fusion 360 to create multifaceted designs. Students will explore real-world applications to devise models from an initial design to a final physical product. The projects will guide students through an exploration of computer science, mathematics, science, and engineering. Sample projects include developing mechanical components, creating full-scale blueprints of a modular house, and analyzing production output data to optimize efficiency. In addition, students will be given opportunities to gain skills and knowledge needed in the product development and manufacturing industry. Corequisite: Precalculus or higher. (One-half Credit)

This course, which uses the Java language, is designed to meet the requirements of the AP Exam. Students who have completed Algebra 2 are encouraged to take this course. By department permission. (One Credit)

An undergraduate-level exploration of topics in Multivariable Calculus, including multivariable functions, vectors and vector fields, differentiation and integration in multiple variables, line integrals, flux, curl, and Stokes’ Theorem. Students should expect both traditional summative assessments and collaborative problem sets and projects. This course is designed for students who have completed single variable Calculus and are excited to pursue challenging higher level topics in mathematics. It is appropriate for students interested in majoring in math, engineering, or computer science. Familiarity with the following topics is expected: derivative Calculus, integration, Taylor series, and basic vector operations. Prerequisite: Advanced Calculus AB/BC, Department permission required. (One Credit)

This course continues the study of algebra, reviews concepts seen in Algebra 1, and serves as a natural extension of the topics covered in Algebra 1. The course prepares students to complete Fundamentals of Precalculus successfully. Topics include proportions, factoring, solving equations and inequalities (including absolute values), solving linear systems with graphing, substitution, elimination, and linear programming. This course’s major focus is solving linear and quadratic functions and equations, along with basic exponential and logarithmic functions and equations. A study of rational and radical functions will also be introduced. Familiarity with the following topics is expected: identifying & graphing linear equations, solving linear equations, identifying & solving basic systems of equations, solving inequalities, simplifying expressions, and using ratios & proportions. Prerequisite: Algebra 1, Geometry. (One Credit)

Designed for students with one or more years of algebra and one full year of geometry, this course continues the study of algebra and reviews work with linear functions and systems. The course introduces various function families, including absolute value, quadratics, exponential, logarithmic, radical, and rational functions. The second semester of the course will introduce the fundamentals of trigonometry and will aim to prepare students for Precalculus. Familiarity with the following topics is expected: solving single variable and systems of equations, graphing linear equations, ratios, and proportions, and solving quadratic equations by factoring. Solving Right Triangles using trigonometry. 

Blending mathematics, statistics, and computer programming, this course provides an introduction to the emerging field of data science. Students will analyze large sets of data from areas such as the financial sector, retail sales, sports analytics, healthcare industry, and social networking platforms looking for patterns and trends. Using the open-source computer language R, students will identify regularities within a data set, exposing secrets and making original discoveries. Sample projects include gathering vast amounts of data about consumers to predict shopping habits and analyzing sports statistics to evaluate an athlete’s value and performance. Prerequisite: Algebra 2. No previous statistics or computer science courses are required to take this course. (One-half Credit)

In this course, students utilize the Python programming language to read, analyze, and visualize data. The course emphasizes using real-world datasets, which are often large, messy, and inconsistent. Because of the powerful data structures and clear syntax of Python, it is one of the most widely used programming languages in scientific computing. Students explore the multitude of practical applications of Python in fields like biology, engineering, and statistics. Prerequisite: Computer Science I: Computational Thinking or its equivalent. (One-half credit)

In this course, students practice designing and developing games through hands-on work. Through the creation of small “toys,” the course asks students to solve problems and create content, building the design and technical skills necessary to build their own games. Throughout the course, students come to understand game design through game designer Jesse Schell’s “lenses:” different ways of looking at the same problem and answering questions that provide direction and refinement of a game’s theme and structure. During this time, students also learn how to use Godot, the professional game development tool they use throughout the class. They become familiar with the methodologies of constructing a game using such assets as graphics, sounds, and effects, and controlling events and behavior within the game using the GDScript programming language, which is modeled after Python. In the last two modules of the course, students work in teams to brainstorm and develop new games in response to a theme or challenge. Students will develop their skills in communication, project- and time-management, and creative problem-solving while focusing on different aspects of asset creation, design, and coding. Prerequisite: Computer Science I: Computational Thinking or its equivalent.

This course teaches students how to write programs in the Java programming language. Java is the backbone of many web applications, especially eCommerce and government sites. It is also the foundational code of the Android operating system and many tools of the financial sector. Students learn the major syntactical elements of the Java language through object-oriented design. The emphasis in the course is on creating intelligent systems through the fundamentals of Computer Science. Students write working programs through short lab assignments and more extended projects that incorporate graphics and animation. Prerequisite: Computer Science I: Computational Thinking or its equivalent

This intensive summer course is designed to provide an accelerated path through the traditional high school geometry curriculum. Focusing on Euclidian geometry, students examine topics relating to parallel lines, similar and congruent triangles, quadrilaterals, polygons, and circles. Students can expect to analyze lengths, areas, and volumes of two- and three-dimensional figures and explore transformations and other manipulations. Particular attention is paid to introductory trigonometry with right triangles and the study of circles (radians, sectors, arc length, etc.). In addition, the development of a mature, logical thought process will begin through a formal introduction to arguments, deductions, theorems, and proofs. Because this course covers topics that are typically presented in a yearlong course, students should expect to dedicate 15-20 hours per week during the intensive seven-week summer session. Prerequisite: Algebra 1, Department Permission Required (One Credit)

Aspects of artificial intelligence permeate our lives and the algorithms power your favorite apps. How much do you really know about how AI works or how it is changing the world around us? This course explores the history of research into artificial general intelligence and the subsequent focus on the subfields of narrow AI: neural networks, machine learning and expert systems, deep learning, natural language processing, and machine vision and facial recognition. Students also learn how AI training datasets cause bias and focus on the ethics and principles of responsible AI: fairness, transparency and explainability, human centeredness, and privacy and security. (One-half credit)

Once thought of as the purest but least applicable part of mathematics, number theory is now by far the most commonly applied: every one of the millions of secure internet transmissions occurring each second is encrypted using ideas from number theory. This course covers the fundamentals of this classical, elegant, yet supremely relevant subject. It provides a foundation for further study of number theory, but even more, it develops the skills of mathematical reasoning and proof in a concrete and intuitive way and is necessary preparation for any future course in upper-level college mathematics or theoretical computer science. Students progressively develop the tools needed to understand the RSA algorithm, the most common encryption scheme used worldwide. Along the way, they invent some encryption schemes of their own and discover how to play games using number theory. Students also get a taste of the history of the subject, which involves the most famous mathematicians from antiquity to the present day, and see parts of the story of Fermat’s Last Theorem, a 350-year-old statement that was fully proven only 20 years ago. While most calculations are simple enough to do by hand, students sometimes use the computer to see how the fundamental ideas can be applied to the huge numbers needed for modern applications. Prerequisite: A strong background in precalculus and above, as well as a desire to do rigorous mathematics and proofs.

(One-half credit)