TransferCredit.org AP® Computer Science Principles Prep Course

Self-paced prep for the AP® Computer Science Principles exam: 46 lessons, a quiz after every lesson, 25 interactive labs, and a full practice exam and final exam with free-response parts. Not affiliated with the College Board.

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Course curriculum

1. Syllabus
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1. 1.1 Collaboration: pair programming and diverse perspectives
2. Quiz 1.1
3. 1.2 Program Function and Purpose: inputs, outputs, and events
4. Quiz 1.2
5. 1.3 Program Design and Development: iterative and incremental process
6. Quiz 1.3
7. 1.3 Interactive Lab: Development Process Lab
8. 1.4 Identifying and Correcting Errors: logic, syntax, runtime, and overflow errors
9. Quiz 1.4
10. 1.4 Interactive Lab: Bug Hunt Lab
1. 2.1 Binary Numbers: bits, bytes, and converting between bases
2. Quiz 2.1
3. 2.1 Interactive Lab: Binary Converter Lab
4. 2.2 Representing Data with Bits: text, images, and sound
5. Quiz 2.2
6. 2.3 Overflow and Round-Off Errors: limits of computer numbers
7. Quiz 2.3
8. 2.3 Interactive Lab: Number Limits Lab
9. 2.4 Data Compression: lossless and lossy methods
10. Quiz 2.4
11. 2.4 Interactive Lab: Compression Choices Lab
1. 3.1 Extracting Information from Data: patterns, trends, and correlation
2. Quiz 3.1
3. 3.1 Interactive Lab: Data Detective Lab
4. 3.2 Metadata and Big Data: data about data and scale
5. Quiz 3.2
6. 3.3 Using Programs with Data: filtering, sorting, and cleaning
7. Quiz 3.3
8. 3.3 Interactive Lab: Filter and Sort Lab
9. 3.4 Data Privacy and Data Sources: bias in collected data
10. Quiz 3.4
1. 4.1 Variables and Assignments: storing and updating values
2. Quiz 4.1
3. 4.1 Interactive Lab: Assignment Trace Lab
4. 4.2 Data Abstraction: giving data a name
5. Quiz 4.2
6. 4.3 Mathematical Expressions: arithmetic and MOD
7. Quiz 4.3
8. 4.3 Interactive Lab: MOD Practice Lab
9. 4.4 Strings: concatenation and substrings
10. Quiz 4.4
11. 4.4 Interactive Lab: String Practice Lab
1. 5.1 Boolean Expressions: relational and logical operators
2. Quiz 5.1
3. 5.1 Interactive Lab: Boolean Logic Lab
4. 5.2 Conditionals: IF and ELSE selection
5. Quiz 5.2
6. 5.2 Interactive Lab: Branching Lab
7. 5.3 Nested Conditionals: decisions inside decisions
8. Quiz 5.3
9. 5.3 Interactive Lab: Nested Branches Lab
10. 5.4 Iteration: REPEAT n TIMES and REPEAT UNTIL
11. Quiz 5.4
12. 5.4 Interactive Lab: Loop Table Lab
13. 5.5 Developing Algorithms: sequencing, selection, and iteration
14. Quiz 5.5
15. 5.5 Interactive Lab: Build an Algorithm Lab
1. 6.1 Lists: creating, indexing, and traversing
2. Quiz 6.1
3. 6.1 Interactive Lab: List Trace Lab
4. 6.2 Binary Search: halving a sorted list
5. Quiz 6.2
6. 6.2 Interactive Lab: Binary Search Lab
7. 6.3 Calling Procedures: parameters, arguments, and return values
8. Quiz 6.3
9. 6.3 Interactive Lab: Procedure Call Lab
10. 6.4 Developing Procedures: abstraction and reuse
11. Quiz 6.4
12. 6.4 Interactive Lab: Procedure Design Lab
1. 7.1 Libraries: reusing code and reading documentation
2. Quiz 7.1
3. 7.2 Random Values: RANDOM(a, b) and unpredictable results
4. Quiz 7.2
5. 7.2 Interactive Lab: Random Outputs Lab
6. 7.3 Simulations: modeling real systems with abstraction
7. Quiz 7.3
8. 7.3 Interactive Lab: Simulation Choices Lab
1. 8.1 Algorithmic Efficiency: counting steps and growth
2. Quiz 8.1
3. 8.2 Reasonable and Unreasonable Time: polynomial vs exponential
4. Quiz 8.2
5. 8.3 Heuristics and Undecidable Problems: what computers cannot solve
6. Quiz 8.3
1. 9.1 The Internet: packets, routing, and protocols
2. Quiz 9.1
3. 9.2 Internet Protocols and Addresses: IP, DNS, and TCP
4. Quiz 9.2
5. 9.3 Fault Tolerance: redundancy and reliable networks
6. Quiz 9.3
7. 9.4 Parallel and Distributed Computing: speedup and limits
8. Quiz 9.4
1. 10.1 Beneficial and Harmful Effects: unintended consequences
2. Quiz 10.1
3. 10.2 Digital Divide: access, equity, and the global economy
4. Quiz 10.2
5. 10.3 Computing Bias: algorithms, data, and fairness
6. Quiz 10.3
7. 10.4 Crowdsourcing: citizen science and collective problem solving
8. Quiz 10.4
9. 10.5 Legal and Ethical Concerns: copyright, licensing, and open source
10. Quiz 10.5
11. 10.6 Safe Computing: phishing, malware, and strong authentication
12. Quiz 10.6
13. 10.7 Personal Data and Encryption: privacy for everyday users
14. Quiz 10.7
1. 11.1 Create Task Workflow: purpose, input, and output
2. Quiz 11.1
3. 11.1 Interactive Lab: Create Task Planning Lab
4. 11.2 Written Responses: algorithms, abstraction, and testing explained
5. Quiz 11.2
6. 11.2 Interactive Lab: Written Response Practice Lab
7. 11.3 Multiple-Choice Strategy: two-answer questions and reference sheet code
8. Quiz 11.3
9. 11.3 Interactive Lab: Pseudocode Speed Drill
10. 11.4 Reading Code Segments Fast: AP pseudocode patterns
11. Quiz 11.4
12. 11.4 Interactive Lab: Spot the Pattern Lab
1. Final Practice Exam - Instructions
2. Final Practice Exam
3. Final Practice Exam - Written Part
4. Final Practice Exam - Written Part Scoring Guide
5. Final Exam - Instructions
6. Final Exam
7. Final Exam - Written Part
8. Final Exam - Written Part Scoring Guide

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126 lessons
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TransferCredit.org AP® Computer Science Principles Prep Course

Course curriculum

Course Overview

Chapter 1: Creative Development

Chapter 2: Binary Numbers and Data Compression

Chapter 3: Extracting Information from Data

Chapter 4: Variables, Data Abstraction, and Strings

Chapter 5: Boolean Logic, Conditionals, and Iteration

Chapter 6: Lists, Searching, and Procedures

Chapter 7: Libraries, Randomness, and Simulations

Chapter 8: Algorithmic Efficiency and Limits of Computing

Chapter 9: The Internet and Computer Systems

Chapter 10: Impact of Computing

Chapter 11: Create Task and Exam Practice

Chapter 12: Final Practice Exam and Final Exam

About this course

Discover your potential, starting today