Accelerated Studies
Accelerated Studies
Looking to accelerate in high school mathematics or qualify for an advanced computer science course?
If you maintain a strong pattern of achievement and share our deep appreciation for the abstract beauty of mathematics and computer science, these are the courses for you!
Our summer Accelerated Studies offerings maintain the qualities and curriculum standards of the Loomis Chaffee School and are taught at an accelerated pace in order to cover the required material. Our summer program is unable to guarantee credit or acceleration at Loomis Chaffee or another institution. Therefore, families are advised to notify their student's school prior to taking the course to ensure approval of credit or acceleration if the student meets course expectations.
2024 Course Offerings
All courses are taught online.
Geometry
Duration
6 weeks
June 24–August 2, 2024
Online Class Schedule
9:00 a.m.–12:30 p.m. EDT
Monday–Friday
Prerequisite
Algebra 1
Tuition
$4,150
Geometry is an intensive course that covers all topics taught in a full year of Geometry at Loomis Chaffee (LC). The course prepares students for the LC end-of-year departmental exam. Pending satisfactory performance on the exam, students can earn academic credit (and meet this diploma requirement) and accelerate to the next course in their progression in the fall.
The course maintains an accelerated pace in order to cover a full academic year course load in six weeks. Therefore, the course is designed for students who have a pattern of high achievement in mathematics, and who are recommended for advancement by the math department at their school.
Calculus A: Introduction to Limits and Derivatives
Duration
4 weeks
July 1–July 26, 2024
Online Class Schedule
9 a.m.–12 p.m. EDT, Monday, Wednesday, and Friday
Asynchronous coursework Tuesday and Thursday
Prerequisite
Precalculus
Tuition
$2,550
Calculus A is designed for talented and committed math students who have the desire to accelerate from Advanced Precalculus to CL Calculus BC pending satisfactory performance in the class and successful completion of the departmental exam before fall term begins. Calculus A is a not a credit-bearing course. The intensive course meets for three class periods per day and closely follows The Concept Outline set by The College Board. The core topics covered in this course are Limits (and continuity) and Derivatives. The students learn to find limits and derivatives numerically, graphically, and algebraically. The course also emphasizes usage of those techniques in applied context.
Calculus C
Duration
4 weeks
July 1–July 26, 2024
Online Class Schedule
9 a.m.–12 p.m. EDT, Monday, Wednesday, and Friday
Asynchronous coursework Tuesday and Thursday
Prerequisite
Calculus AB
Tuition
$2,550
This course is designed for talented and committed math students who have completed CL Calculus AB and desire to complete the CL Calculus BC curriculum. This course covers topics in single variable differential and integral calculus typically found in a first-year college Calculus II course. Calculus C is a not a credit-bearing course. This intensive course closely follows The Concept Outline set by The College Board (topics are marked by BC designation). The big ideas covered in this course are Sequences and Series, techniques of integration and application of derivatives and integrals to parametric and polar functions. The course also emphasizes usage of those techniques in applied context.
Introduction to Computer Science: Summer Enrichment
Duration
4 weeks
July 1–July 26, 2024
Online Class Schedule
Monday–Friday, specific times TBD
Tuition
$1,600
This course is designed for students interested in experiencing study in Computer Science outside of their academic year curriculum, including those who desire acceleration into CL Computer Science by meeting this pre-requisite. Introduction to Computer Science: Summer Enrichment is NOT a credit-bearing course and will not include a traditional cumulative letter grade. Rather, it offers the opportunity for low-stakes exploration and positions the student to accelerate. The core topics covered in this course are data handling, algorithmic thinking, and basic control structures.