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What You'll Study in AP Computer Science A
The AP Computer Science A curriculum (first taught 2025) is organized into 6 key topics (first assessed 2026). Find expert tutors who specialize in the areas you need help with.
View Official AP Computer Science A GuideUnit 1-2: Primitive Types & Objects
- Variables and Data Types
- Operators and Expressions
- Input and Output
- Objects and Classes
- Method Calls
Unit 3-4: Boolean & Iteration
- Boolean Expressions
- If Statements
- Loops (for, while)
- Nested Loops
- String Methods
Unit 5: Writing Classes
- Class Structure
- Constructors
- Instance Variables
- Methods
- Encapsulation
Unit 6-7: Arrays & ArrayLists
- 1D Arrays
- 2D Arrays
- Array Traversal
- ArrayList Methods
- Algorithms with Collections
Unit 8-9: 2D Arrays & Inheritance
- 2D Array Algorithms
- Inheritance (REMOVED 2026)
- Polymorphism
- Abstract Classes
- Interfaces
Unit 10: Recursion & File I/O
- Recursive Methods
- Base Cases
- Recursive Searching
- File Reading (NEW 2026)
- File Writing (NEW 2026)
What Changed in the 2026 Curriculum?
✓ Inheritance Removed:
Unit 9 (Inheritance) removed from curriculum
✓ File I/O Added:
File input/output moved from optional to required
✓ Scanner Object:
New lesson on Scanner object added to curriculum
✓ First Exams:
May 2026 (first teaching 2025-26 school year)
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AP Student
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Common AP Computer Science A Challenges?
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Our expert tutors address the most common struggles students face in AP Computer Science A
Understanding Object-Oriented Programming
Classes, objects, and inheritance with real-world design patterns
Mastering Arrays and ArrayLists
Data structure manipulation with algorithm implementation
Writing Efficient Algorithms
Algorithm design with time complexity analysis
Debugging Complex Code
Systematic debugging strategies with trace table techniques
Understanding File I/O (NEW 2026)
Reading and writing files with exception handling (updated curriculum)
Mastering FRQ Problem-Solving
Method writing and class design with AP exam rubrics
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Classes, objects, and inheritance with real-world design patterns
Data structure manipulation with algorithm implementation
Algorithm design with time complexity analysis
Systematic debugging strategies with trace table techniques
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