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AP Computer Science A
Java-focused AP prep with topic study, MCQ practice, FRQ tools, flashcards, and compiler starters.
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Practice Center
Choose a computer science or math course, from AP CSA and Python to Algebra, Geometry, and Precalculus, then pick unit-level or full-length MCQ practice.
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Six AP and honors courses side by side: subject, focus, whether programming is required, exam status, and what each assumes coming in.
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Coding Tool
Online Compiler
Run Java or Python practice code in the browser while studying course examples and quiz explanations.
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Program Planning
Guided Program Path
Compare learning paths across foundations, AP courses, USACO, AI/ML, competitions, and advanced CS.
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Read study guides, debugging notes, AP CS planning tips, and practical programming explanations.
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Answers about scheduling, online tutoring, course fit, rescheduling, and how sessions work.
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AP CSA Tools
APCSA Resources Hub
AP CSA topic lanes, FRQ tools, heat map planning, and Java-focused resource paths.
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AP CSP Study Resources
AP CSP unit notes, topic index, written-response index, MCQ practice, and compiler support.
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AP Cyber Study Guide
AP Cyber unit notes, scenario practice, network/device/app/data guides, and MCQ review.
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Practice and study by course
Every current Code Scholars course now has a direct course page plus the closest matching practice center, flashcards, compiler, or study guide.
AP Course
AP Computer Science Principles
AP CSP unit notes, topic index, written-response practice, MCQ practice, flashcards, and Python compiler starters.
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AP Cybersecurity
Cybersecurity unit notes, network/device/app/data guides, scenario MCQ practice, and security flashcards.
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AP Networking
Device and network troubleshooting, addressing and subnetting, VLANs and firewall rules, protocols and routing, with unit study guides and scenario practice.
Open courseMathematics
Calculus Honors
Single-variable calculus across limits and continuity, derivatives and their applications, integrals and the Fundamental Theorem, applications of integration, and differential equations.
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AP Precalculus
College Board AP mathematics across polynomial, rational, exponential, logarithmic, trigonometric, and polar functions, with modeling, multiple representations, and AP exam preparation.
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Precalculus Honors
Six-unit honors sequence across trigonometry, polar and complex representations, function families, systems and sequences, conic sections, and limits, with unit study guides and MCQ practice.
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Precalculus
Function families, analytic trigonometry, polar coordinates, sequences, series, and modeling, with unit MCQ practice across three difficulty levels.
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Algebra and Trigonometry
Advanced function analysis, the unit circle, trigonometric graphs, identities, equations, triangle applications, and polar coordinates.
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Algebra 2 Honors
Honors-depth quadratic, polynomial, radical, rational, exponential, and logarithmic functions, plus sequences, series, and modeling.
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Geometry Honors
Logic and proof, plane and solid geometry, congruence and similarity, circles and conics, transformations, and coordinate geometry.
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Algebra 1 Honors
Real numbers, equations and inequalities, linear functions and coordinate geometry, systems, polynomials, factoring, and quadratics.
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Advanced Topics in CS
Recursion, data structures, algorithms, trees, heaps, graphs, DSA assignments, MCQ practice, and compiler drills.
Open courseProgramming
Python Programming
Python units, unit-level MCQ practice, flashcards, compiler starters, data science, visualization, and AI readiness.
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Intro to Comp Sci (Java)
Java foundations, OOP, tracing, debugging, AP CSA-aligned MCQ practice, flashcards, and compiler starters.
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USACO Bronze
USACO Bronze overview, Bronze Curriculum, contest-format details, pattern practice, flashcards, and compiler drills.
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PClassic
PClassic team contest prep with Classic/Advanced format details, team strategy, flashcards, and compiler practice.
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ACSL
ACSL contest prep across number systems, logic, graphs, expressions, programming rounds, and flashcards.
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Congressional App Challenge
App challenge coaching with project scope, prototype planning, demo polish, submission format, and project flashcards.
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AI & Machine Learning
AI/ML learning path covering the ML workflow, data preparation, supervised learning, evaluation, and responsible AI, with its own MCQ practice, data science compiler starters, and flashcards.
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Data Structures & Algorithms
DSA course support across analysis, linear structures, hashing and heaps, trees, graphs, sorting, and algorithm design, with its own MCQ practice, an assignment bank, Java compiler starters, and flashcards.
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