Mathématiques et informatique

College Prep’s math program is problem based and student centered.
Using an approach that integrates the traditional areas of mathematics—algebra, geometry, trigonometry, pre-calculus, and calculus—throughout six sequential levels of study, students become independent learners who excel in reading, writing, exploring, applying, and communicating mathematical concepts.
Le programme d'études est structuré autour de ces principes :
  • L'algèbre est fondamentale en tant qu'outil de modélisation et de résolution de problèmes
  • La géométrie en deux et trois dimensions est intégrée dans les sujets à tous les niveaux et comprend des approches coordonnées et transformationnelles
  • L'étude des vecteurs, des matrices, du comptage, de l'analyse des données et d'autres sujets issus des mathématiques discrètes est intégrée dans les cours de base
  • Les activités sur ordinateur et sur calculateur font partie des cours de base
  • Les sujets sont explorés visuellement, symboliquement et verbalement
  • La capacité à développer des stratégies de résolution de problèmes dépend d'un ensemble de connaissances accumulées

Liste de 8 articles.

  • Descriptive & Inferential Statistics

    Statistics is the art and science of collecting, organizing, analyzing, and drawing conclusions from data. Course topics include exploring data, sampling and experimentation, probability and simulation, and statistical inference. Students use technology, investigations, problem-solving, and writing to build conceptual understanding. This course is recommended for those interested in any field that uses data, including the sciences, engineering, social sciences, and business studies.
  • Math 1

    This course involves foundational problem-solving skills, the translation of prose into mathematical equations and diagrams, oral and written presentations of mathematical processes, and mathematical intuition. Topics from algebra and geometry are integrated and include conversions and rates, proportional reasoning, area and perimeter, linear and quadratic equations, transformations of curves, inequalities, absolute values, and coordinate geometry. An emphasis on algebra skills supports problem solving.
  • Math 2

    This course includes topics from algebra, geometry, and trigonometry. Students learn techniques and theorems through problem solving. Collaborative study helps develop the ability to reflect on and explain mathematical processes. Topics include lines, polygons, vectors, circles, triangles, quadrilaterals and parabolas, and right triangle trigonometry. Similarity and congruence are studied through the lens of transformations. An investigation of linear motion leads to the use of parameters and consideration of optimal paths of travel.
  • Math 3 et 3i

    These courses explore nonlinear motion and nonlinear functions: circular motion and the functions that describe it, ellipses and hyperbolas, exponential and logarithmic functions, dot products and matrices, and geometry on the surface of the earth. Advanced trigonometric techniques recur throughout the course. Logarithms are used to straighten nonlinear data, and matrices are used to describe geometric transformations and various patterns of growth.
  • Math 4 et 4i

    These courses build on the foundations of functions and trigonometry and provide an introduction to both integral and differential calculus. Calculus topics include, but not limited to, limits, first and second derivatives of the basic functions, applications to maxima and minima and rates of change, as well as integration techniques and applications to area and volume. Math 4i also includes topics from analysis (sequences and series, vectors, polar and parametric functions, and complex numbers) and discrete math (combinatorics and probability, and trigonometry (sum/difference formulas and trigonometric identities).
  • Math 5 et 5i

    These courses are continuations of differential and integral calculus. Topics include, but not limited to: the theory of differential equations, complex analysis, sequences, series (including Taylor series and power series) and convergence tests, the theory of indeterminate forms, improper integrals, and applications.
  • Math 6

    This course starts with the tools, techniques, and concepts of linear algebra, emphasizing linear algebraic systems (together with matrix wizardry) to generalize toward underlying abstract structures: vector spaces, linear maps, and the fundamental theorem of linear algebra. Later topics include inner products and norms, orthogonality (including Gram-Schmidt factorization, Legendre polynomials), eigenvalues and singular values (including the spectral theorem, the Schur decomposition and Jordan canonical form) as well as applications such as minimization and least squares, data fitting and interpolation, Fourier series, iterations, and dynamics (systems of differential equations).
  • Abstract Algebra

    This course introduces students to the beauty and whimsy of abstraction without losing track of algebra’s practical roots. Using proofs, students learn how to generalize the basic rules of addition and multiplication to objects other than usual numbers and how those rules give structure to collections of objects. Topics include structures such as vector spaces, groups, rings, fields, and their applications to coding theory and public-key cryptography, symmetries, geometric constructions, and Galois theory.

computer science

The College Prep computer science program allows for beginning through advanced opportunities to study foundational computer science principles and concepts through the lens of Python, an ideal first programming language whose versatility makes it an excellent choice for a wide variety of applications. The introductory course (CS1) is a deep dive into programming, building a foundation in the general constructs of languages. In the intermediate-level, project based course (CS2), students apply their programming skills to build embedded system prototypes using microcontrollers—such as Arduinos and Raspberry Pis, sensors, and other electronics. The advanced course (CS3) focuses on data science, analysis, and modeling.

Liste de 3 articles.

  • CS1 : Fondements de l'informatique

    This course demystifies how computers work, how data can be manipulated and moved around the world, and teaches proficiency in the Python programming language through hands-on labs and projects. The course introduces problem-solving strategies that help students debug, reflect upon, and improve their work. Students build and showcase their skills through pair programming, interactive modules, and a series of collaborative programming opportunities.
  • CS2 : Programmation informatique en Python

    This course focuses on fundamental concepts of computer programming: abstraction, algorithms, efficiency, and data manipulation. Topics include the variables used in programming, Boolean logic and the use of conditional statements to control the flow of a program, and loops and how to apply recursion to solve problems. Students use functions to perform tasks that break a complex problem into smaller pieces that are easier to solve. The course introduces object-oriented programming in which students learn how to use objects and classes to provide a clear structure to their code, making it easier to read, understand, and debug. Coding skills are honed on a series of individual and group projects. As a final project, students work in groups to design and create their own text adventure game.
  • CS3: Data Science

    This course equips students with the tools and skills of a data scientist. Students learn to collect and clean raw data, explore different data visualization tools that make it easier to see and understand trends, and learn to analyze their data, transforming and modeling it to draw conclusions and inform decision-making.

Liste de 8 membres.

  • Photo de Kevin Wray

    Kevin Wray

    Professeur de mathématiques
    510-652-0111 x 234
  • Photo de Francis Frederick

    Francis Frederick

    Professeur de mathématiques
    510-652-0111 x234
  • Photo of Cliff Kao

    Cliff Kao 

    Professeur de mathématiques
    510-652-0111 x234
  • Photo de Minh Nguyen

    Minh Nguyen

    Professeur de mathématiques
    510-652-0111 x 234
  • Photo de Norm Prokup

    Norme Prokup

    Enseignant de mathématiques et d'informatique
    510-652-0111 x234
  • Photo de Margot Schou

    Margot Schou

    Professeur de mathématiques
    510-652-0111 x234
  • Photo de Cuong Ta

    Cuong Ta

    Professeur de mathématiques
    510.652.0111 x234
  • Photo de Gretchen Verner

    Gretchen Verner

    Professeur de mathématiques
    510-652-0111 x234
Je voulais être professeur de mathématiques depuis le lycée. On pense parfois que les mathématiques sont une matière solennelle, mais je suis toujours à la recherche de moments inattendus qui vont captiver les élèves, ou les faire rire. Cela remet la classe à sa place et c'est engageant pour nous tous.

L'école préparatoire du collège

mens conscia recti

un esprit conscient de ce qui est juste