AP COMP SCIENCE PRINCIPLE NOTES

Computational Thinking

A problem-solving process that includes key skills such as decomposition, pattern recognition, abstraction, and algorithms.

Decomposition

Breaking down a complex problem into smaller, more manageable parts.

Pattern Recognition

Identifying similarities and differences in data or problems to make predictions.

Abstraction

Simplifying complex systems by focusing on the important details while ignoring irrelevant ones.

Algorithms

A step-by-step procedure or formula for solving a problem.

Data Structures

Ways to organize and store data for efficient access and modification.

Lists

An ordered collection of elements where duplicates may exist.

Arrays

A collection of items stored at contiguous memory locations, typically of the same type.

Loops

A programming construct that repeats a block of code as long as a specified condition is true.

Conditional statements

Statements that execute different actions based on whether a specified condition is true or false.

Functions and methods

Named blocks of code that perform a specific task and can be reused in programs.

Events and event-driven programming

A programming paradigm where the flow of the program is determined by events such as user actions.

Object-oriented programming (OOP)

A programming style that uses objects to represent data and methods to manipulate it.

Visual programming languages

Programming languages that allow users to create programs by manipulating graphical elements rather than writing code.

Text-based languages

Programming languages where code is written and read as text.

AP Classroom resources

Official materials provided by the College Board to help students prepare for AP Computer Science.

Tips for Success

Strategies for doing well on exams, such as regular review, effective time management, and seeking help when needed.