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AP Computer Science Principles - Study Guides, Flashcards, AP-style Practice & Mock Exams

This complete course delivers robust AP Computer Science Principles exam prep, guiding you through the curriculum's core concepts. Explore detailed units, break down complex topics, and test your knowledge with extensive practice materials designed to get you ready for the digital portfolio and the final exam.

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Course Overview

This course introduces the foundational principles of computer science, exploring the internet, data, and the societal impacts of computing. The curriculum covers programming fundamentals, including the analysis of algorithms and the evaluation of their `algorithmic complexity`. You will learn to work with basic `data structures` like `arrays` and understand concepts such as `recursion`. A significant portion of the course assessment is the `Create Performance Task`, a project requiring you to develop a computational artifact and describe your process. The end-of-course exam consists of a multiple-choice section that tests your conceptual knowledge across all five big ideas of the curriculum.

Effective preparation involves a structured progression through the course material. Begin by studying the 35 topics organized within the five core units. After each topic, use the AP-style quizzes as progress checks to assess your understanding and guide targeted review. Consolidate your knowledge with a comprehensive exam at the end of each unit. This methodical approach prepares you for the final stage: simulating exam conditions with full-length mock exams. Utilizing the extensive library of over 2000 practice questions ensures you can identify and address any remaining knowledge gaps before the official test.

school5 Units
book45 Topics
schedule26 hours Study time
quiz507 Practice Questions
style788 Flashcards
checklist2 Mock exams
verified_userVerified & trusted by AP experts

Units & Topics

Unit 1: Big Idea 1: Creative Development

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We will explore the iterative process of planning, building, and debugging software in teams, establishing the foundational skills needed for the Create Performance Task.

  • 1.0Unit Overview
  • 1.1Collaboration
  • 1.2Program Function and Purpose
  • 1.3Program Design and Development
  • 1.4Identifying and Correcting Errors
  • 1.5Unit Exam

Unit 2: Big Idea 2: Data

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Explore how digital information is represented in bits, stored efficiently, and processed by programs using data structures to extract meaningful patterns and insights.

  • 2.0Unit Overview
  • 2.1Binary Numbers
  • 2.2Data Compression
  • 2.3Extracting Information from Data
  • 2.4Using Programs with Data
  • 2.5Unit Exam

Unit 3: Big Idea 3: Algorithms and Programming

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This unit builds foundational programming logic, from storing values and making decisions to creating procedures and analyzing the algorithmic complexity of different solutions.

  • 3.0Unit Overview
  • 3.1Variables and Assignments
  • 3.2Data Abstraction
  • 3.3Mathematical Expressions
  • 3.4Strings
  • 3.5Boolean Expressions
  • 3.6Conditionals
  • 3.7Nested Conditionals
  • 3.8Iteration
  • 3.9Developing Algorithms
  • 3.10Lists
  • 3.11Binary Search
  • 3.12Calling Procedures
  • 3.13Developing Procedures
  • 3.14Libraries
  • 3.15Random Values
  • 3.16Simulations
  • 3.17Algorithmic Efficiency
  • 3.18Undecidable Problems
  • 3.19Unit Exam

Unit 4: Big Idea 4: Computer Systems and Networks

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We will investigate how large-scale computing systems are designed for resilience and speed, analyzing the algorithmic complexity of the protocols that manage them.

  • 4.0Unit Overview
  • 4.1The Internet
  • 4.2Fault Tolerance
  • 4.3Parallel and Distributed Computing
  • 4.4Unit Exam

Unit 5: Big Idea 5: Impact of Computing

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This unit examines computing's societal impacts, from unequal access to security, preparing you to consider these ethical implications in your Create Performance Task.

  • 5.0Unit Overview
  • 5.1Beneficial and Harmful Effects
  • 5.2Digital Divide
  • 5.3Computing Bias
  • 5.4Crowdsourcing
  • 5.5Legal and Ethical Concerns
  • 5.6Safe Computing
  • 5.7Unit Exam

Frequently Asked Questions

What is the format of the AP Computer Science Principles exam?

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The AP CSP exam has two parts: a multiple-choice section and the Create Performance Task. The multiple-choice section has 70 questions and lasts 120 minutes. The Create Performance Task is a project completed during the course where you develop a program and submit written responses about your process.

How is my AP CSP score calculated?

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Your final score is a composite of the two main components. The 70-question multiple-choice section accounts for 70% of your score. The Create Performance Task, which requires at least 12 hours of in-class time and is submitted before the exam, makes up the remaining 30% of your score.

What is the Create Performance Task?

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The Create Performance Task is a project where you design and implement a program of your own choosing. You must submit your program code, a video of it running, and written responses describing your development process, use of algorithms, and management of complex data structures like lists or arrays.

What are the main topics covered in AP CSP?

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The course covers fundamental computing concepts across 5 units, including the internet, data analysis, and the societal impacts of technology. You will learn core programming principles, including how to design and analyze algorithms, use abstraction to manage complexity, and work with data.

How should I structure my studying with this prep course?

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Follow a structured path by first mastering the content in all 35 topics using our lessons and AP-style quizzes. Then, test your knowledge with unit exams before moving on to our 3 full-length mock exams to simulate the real test environment and timing.

Do I need to know a specific programming language?

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No, the AP CSP exam is language-agnostic, meaning you are not required to use a specific programming language. For the Create Performance Task, you can choose any language, but your written responses must use a clear, readable format to explain your code's logic and algorithms.

How much time should I plan to spend on this course?

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You should plan for approximately 24 hours of total study time to thoroughly cover all course material and practice questions. This allows you to build a strong foundation in computational thinking and programming principles before tackling the final exam and performance task.

What kinds of questions are on the multiple-choice section?

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The multiple-choice section features single-select and multi-select questions that assess your understanding of the course's Big Ideas. Questions often present code snippets, diagrams, or scenarios related to topics like data representation, the internet, algorithms, and the global impacts of computing.

Is algorithmic complexity an important topic?

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Yes, understanding algorithmic efficiency is a key skill, though not as in-depth as in AP CSA. You will need to be able to informally compare the reasonableness of different algorithms for a given task, particularly in terms of processing time, and recognize how choices like iteration or recursion can affect performance.

What practice materials are available in this course?

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This course provides extensive practice with over 2023 practice questions and 1534 flashcards to reinforce key concepts. You can apply your knowledge through topic quizzes and unit exams, then test your readiness with three full-length mock exams designed to mirror the official AP test format.

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