search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
17


- course offered in WC Cyber Program


Calculus Honors (11, 12) 1 credit Blended learning class - 4 days in-class/1 day online learning As an introduction to college-level calculus, course content includes a review of the prerequisites for calculus, including algebraic, exponential, logarithmic, and trigonometric functions, limits, and continuity, derivatives, applications of derivatives, the definite integral, differential equations and mathematical modeling. This course is not intended to prepare students for the Advanced Placement (AP) examination.


Prerequisite: Successful completion of Pre-calculus


Advanced Placement Calculus AB (11, 12) 1 credit


Designed to prepare students for the AB level of the Advanced Placement examination in Calculus, topics include algebraic, trigonometric, exponential and


logarithmic functions, continuity, applications of limits, derivatives, the derivative, anti-


derivatives, definite integrals, and applications of integration.


Prerequisite: Successful completion of Pre-calculus


Advanced Placement Calculus BC (11, 12) 1 credit


Blended learning class - 3days in-class/2 day online learning Designed to prepare students for the BC level of the Advanced Placement examination in Calculus, topics


include functions, limits, derivatives,


continuity, polar coordinates, vector functions and derivatives,


indeterminate forms, applications of


the derivative, anti-derivatives, definite integrals, improper integrals, and applications of integration, sequences, series, convergence, and elementary differential equations.


Prerequisite: Successful completion of Calculus Advanced Placement AB or 93% or higher in Pre-Calculus


recommendation. Accelerated Honors with


Intro to Matrices and Linear Algebra (11,12) 1 credit


Advanced Placement Weighted of


science, physics, and related fields with applied topics


mathematics, that


This course prepares students for studies in the areas


engineering, computer highlight vectors, matrices, determinants, linear transformations, eigenvalues teacher and eigenvectors. Prerequisite: successful completion of AP Calculus BC


Intro to Statistics & Financial Literacy Career & College Prep (12) 1 credit


As an introduction to mathematical concepts that are typically covered in a first-year liberal arts college-level mathematics course, statistical topics will


with an emphasis on spreadsheet manipulation. Additional of number


include the collecting and analyzing of data topics vary and may include a study


theory, logic, sets and set theory,


probability, mathematical modeling and problem solving. Financial Literacy will be an additional focus of the curriculum throughout the year. This course is offered at a pace and level of rigor that varies significantly from Statistics Honors.


Prerequisite: Successful completion of Geometry


Statistics Honors (10, 11, 12) 1 credit


Blended learning class - 4 days in-class/1 day online learning Designed to introduce students to the concepts and tools for collecting, analyzing, and drawing conclusions from data, topics include exploring and understanding data, exploring relationships between variables, gathering data, randomness and probability. The concept of sampling and the properties of sampling distributions are studied as a foundation to inferential statistics. This course will not prepare students to take the Advanced Placement Statistics examination.


Prerequisite: Successful completion of Algebra 2


Statistics Honors through Sports Analytics (10, 11, 12) 1 credit


Blended learning class - 4 days in-class/1 day online learning This course will cover the same set of topics and standards as Statistics Honors while focusing on the use of data and quantitative methods to measure performance and


decision-making processes


in the world of sports. Students will collect and analyze data from men’s and women’s sports and identify relationships between variables and discuss randomness, probability and sampling distributions. This course is designed to include critical thinking, mathematical modeling,


analysis, optimization and simulation.


statistical & predictive These skills


West Chester Area School District


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44  |  Page 45  |  Page 46  |  Page 47  |  Page 48  |  Page 49  |  Page 50  |  Page 51  |  Page 52