Grades 9-12 | High-Performance Outcomes
Professional Elite
Performance Optimization
Path Optimization & Digital SAT
Treat the Digital SAT as a system to be decoded. Leveraging Dr. Ryu’s expertise in Human Factors Engineering, we focus on error reduction and path optimization. By mastering the 1600.io and PWN SAT frameworks, students turn high-stakes testing into a repeatable, scientific process.
Competitive Logic & Applied Stats
Strategic Distinction (AP Stats + Competitive Logic)
For students aiming for Ivy+ admissions, distinction is found in the 'unfamiliar.' We use AIME-level problems and AP Statistics to teach heuristic discovery and predictive modeling. Students learn the cognitive mental models used in elite research labs to solve complex problems from first principles.
| Course No. | Level Name | Grade | Core Principles |
|---|---|---|---|
| STAT-501A/B | AP Statistics | 11th-12th Grade | Probabilistic Systems & Inference (AP+). |
| CSM-501A/B | Contest Mastery | 9th-12th Grade | Advanced Competitive Systems (AIME Prep). |
| DSAT-800 | Digital SAT | 10th-12th Grade | DSAT Interface & Path Optimization. |
Primary Resources
"Standardized tests aren't just exams—they are systems of logic and speed. While others memorize shortcuts, our students use Path Optimization to master the Digital SAT and high-stakes AP exams. We use elite-level resources to ensure your student doesn’t just take the test, but dominates it."
The Practice of Statistics
by Starnes & Tabor
The gold standard for AP Statistics, focusing on predictive modeling and inference.
AoPS Vol 2: Beyond the Basics
by Lehoczky & Rusczyk
Advanced problem-solving strategies for the AIME and USAMO competitions.
1600.io SAT Math Orange Book
by George Rimakis & J. Sestak
The definitive guide to the Digital SAT math section, known for its exhaustive explanations.
PWN the SAT: Math Guide
by Mike McClenathan
Data-driven strategies for the Digital SAT interface and path optimization.