Computer Science Worksheets

Learning Objectives

• Explain what a variable is and how it stores information in a program.
• Describe how updating a variable can change what a program does.
• Identify a variable’s value and predict how it changes after actions.

Learning Objectives

• Define a variable as stored data that can change while a program runs
• Identify the difference between a variable and its value in a programming scenario
• Explain how stored data helps a program track information like scores and names+ Show more

Learning Objectives

• Explain how classes define attributes and behaviors, and how objects are created from those blueprints.
• Identify the roles of constructors, methods, and encapsulation in managing program state.
• Apply class and object concepts to model a real-world system in code.

Learning Objectives

• Explain how decomposition breaks a complex problem into smaller subproblems with clear goals.
• Identify strategies for planning, organizing, and troubleshooting using decomposition.
• Use key vocabulary (decomposition, subproblem, strategy, solution) accurately in context.

Learning Objectives

• Explain how machine learning systems use training data to learn patterns
• Describe how the quality and variety of training data affect a model’s results
• Identify vocabulary terms: machine learning, training data, model, and pattern+ Show more

Learning Objectives

• Explain how variables, events, and logic interact in programs
• Identify how user interfaces support application functionality
• Predict program outcomes using conditionals and loops

Learning Objectives

• Explain how privacy, consent, and data security connect to responsible data practices.
• Identify ethical and unethical uses of personal data in real-world scenarios.
• Describe how anonymization and access controls can reduce harm from data misuse.

Learning Objectives

• Identify the parts of a decision tree: conditions, branches, and outcomes
• Follow a decision tree to predict an outcome from given conditions
• Construct simple decision pathways by choosing branches based on conditions+ Show more

Learning Objectives

• Compare two algorithms by describing how many steps they use and how they affect time or effort.
• Define and use efficient, compare, and optimize to explain why one strategy works better than another.
• Use criteria to choose the most efficient strategy for a given problem.

Learning Objectives

• Define the terms variable and value and explain how they relate to stored information.
• Identify how a program can change values in variables while it runs.
• Use variables to describe information such as names, numbers, and scores in a simple scenario.

Learning Objectives

• Explain how communication protocols provide rules for devices to exchange information reliably.
• Describe how HTTP requests and responses work when using web services.
• Use key vocabulary words—protocol, communication, HTTP, and transmission—in context.

Learning Objectives

• Explain how loops help repeat instructions automatically.
• Use loop-related vocabulary such as loop, repeat, iteration, and efficiency.
• Identify what changes and what stays the same when a loop runs multiple times.+ Show more

Learning Objectives

• Explain how strong passwords help protect an account from unauthorized access.
• Describe why passwords should not be shared or reused across accounts.
• Identify characteristics of a secure password compared with a weak password.

Learning Objectives

• Explain how JavaScript interacts with the DOM to update web page content and respond to events.
• Identify key DOM concepts such as elements, properties, and methods used to modify the page.
• Apply event-driven thinking to connect user actions (like button clicks) to JavaScript behavior.

Learning Objectives

• Explain how testing helps evaluate whether an algorithm works correctly.
• Identify weak points in an algorithm based on test results.
• Revise an algorithm so its steps are clearer and more accurate.+ Show more

Learning Objectives

• Define and use the terms compare, data set, difference, and relationship when working with numbers.
• Compare two data sets by describing similarities and differences in amounts, categories, and patterns.
• Identify simple relationships between two lists of information using evidence from the data.+ Show more

Learning Objectives

• Define key user interface vocabulary: user interface, menu, button, and layout.
• Identify features of an interface that make it easy or difficult to use.
• Use interface terms to describe how a user interacts with a digital design.

Learning Objectives

• Define evidence, analysis, conclusion, and decision in the context of using data.
• Identify which data supports a conclusion and explain why it does.
• Use logical reasoning to choose the best recommendation based on given data.+ Show more

Learning Objectives

• Explain how recommendation systems use data patterns to suggest content and products.
• Use key vocabulary (recommendation, preference, suggestion, algorithm) accurately in context.
• Evaluate whether a statement about recommendation systems is true or false.+ Show more

Learning Objectives

• Explain how if, else, and nested if statements select different actions based on conditions.
• Use comparison operators (>, <, ==, !=) to form correct logical tests.
• Trace and predict program behavior for branching logic.

Learning Objectives

• Explain how conditional logic lets an algorithm choose different paths based on a condition.
• Identify outcomes of decision structures using if/else reasoning.
• Use key vocabulary (condition, branch, logic, outcome) to describe rule-based decisions.

Learning Objectives

• Explain how machine learning uses training data to learn patterns for a model.
• Describe how the quality and variety of training data affect model results.
• Use key vocabulary such as machine learning, training data, model, and pattern in accurate statements.

Learning Objectives

• Explain how conditional statements use logical comparisons to choose which instructions run.
• Identify the correct logic and comparison operator for a given situation.
• Interpret if/else behavior in simple program scenarios.

Learning Objectives

• Explain how loops reduce repeated program instructions
• Differentiate count-controlled and condition-based loops
• Predict loop output from counters and stopping rules+ Show more

Learning Objectives

• Define bug, error, debug, and troubleshoot in the context of computer programs
• Identify whether an observed problem is caused by a logical error or a sequencing error
• Use a simple testing and observation process to debug a program+ Show more

Learning Objectives

• Explain what phishing is and how scam messages try to trick people.
• Identify warning signs in fake messages, such as urgent language and suspicious links.
• Use safe response strategies when you see suspicious or fraud attempts online.

Learning Objectives

• Identify what a graph shows about quantities and categories
• Read bar graphs, line graphs, and pictographs to find patterns and trends
• Interpret information by describing what changes in a graph over time or between categories

Learning Objectives

• Define ethics, accountability, transparency, and responsibility in the context of artificial intelligence.
• Identify ethical risks in AI scenarios, such as privacy problems and unfair or unclear decisions.
• Explain how designers can reduce harm by improving transparency and accountability.+ Show more

Learning Objectives

• Define cyberbullying, bystander, report, and harassment
• Identify examples of harmful online behavior and safe bystander responses
• Explain how reporting can help stop repeated harassment

Learning Objectives

• Define event, trigger, response, and interaction in the context of event-driven programs.
• Identify which user action or timer event should trigger a specific program response.
• Match event-driven terms to their correct definitions.+ Show more

Learning Objectives

• Explain the difference between bandwidth and latency in computer networks
• Predict how latency and bandwidth affect the time it takes for data to move
• Use network vocabulary such as delay, packet, and throughput accurately

Learning Objectives

• Explain how abstraction removes nonessential details to focus on essential features of a problem
• Use models and representations to describe systems, patterns, and relationships
• Identify examples of essential information in a simplified computer science scenario

Learning Objectives

• Define debug, logic, error, and trace and use them correctly in context
• Identify logical errors by comparing expected results to actual results
• Use a tracing approach to find where reasoning goes wrong in a sequence+ Show more

Learning Objectives

• Differentiate syntax errors from logic errors and explain why each affects program behavior differently.
• Use debugging steps like tracing, testing hypotheses, and checking results to find and fix errors.
• Apply vocabulary such as debug, syntax, logic, and troubleshoot to describe debugging in a clear, accurate way.

Learning Objectives

• Explain how data ethics guides responsible collection, storage, and data use
• Describe how privacy and consent help protect personal information
• Apply privacy and ethics concepts to common digital situations

Learning Objectives

• Define and use the words test, result, expected outcome, and evaluation in the context of program testing.
• Compare intended behavior and actual behavior to decide whether a program passes a test.
• Describe how observation during testing helps find strengths and areas for improvement.

Learning Objectives

• Explain what survey data is and how it is collected by asking questions
• Use survey vocabulary (survey, data, collect, response) correctly in simple sentences
• Identify the best way to ask questions for a classroom survey and record answers

Learning Objectives

• Identify how events trigger program responses in event-driven systems
• Use key vocabulary (event, trigger, interaction, response) to explain what happens in a program
• Evaluate whether statements about event-driven programming are true or false+ Show more

Learning Objectives

• Choose an appropriate chart type to communicate patterns, comparisons, or trends in data.
• Use key visualization vocabulary (visualization, graph, chart, category) accurately in explanations.
• Evaluate whether a graph type matches the question being asked about the data.

Learning Objectives

• Explain what a variable stores and how assignment changes its value in a program.
• Identify common data types (numbers, text, booleans) and match them to appropriate operations.
• Use variables to compare values and understand how comparisons depend on data type.

Learning Objectives

• Explain how programs follow commands in the exact sequence they are written
• Identify how changing the order of code commands can change or break program output
• Use sequencing vocabulary (sequence, order, command, output) to describe code behavior+ Show more

Learning Objectives

• Explain how networks connect devices to communicate and share resources
• Identify common network infrastructure components such as routers and transmission media
• Use key vocabulary (network, device, router, connection) correctly in context+ Show more

Learning Objectives

• Define visualization terms and identify the role of charts and graphs in communicating data
• Compare common graph types and match each type to an appropriate data situation
• Interpret a data display by recognizing trends and patterns+ Show more

Learning Objectives

• Identify common programming errors such as syntax mistakes and logic errors
• Use a systematic debugging process to test and troubleshoot code
• Explain how assumptions can cause incorrect program behavior

Learning Objectives

• Explain why testing checks whether digital features work as intended
• Identify useful observations and feedback from digital product testing
• Compare testing results with user feedback about a product+ Show more

Learning Objectives

• Explain the difference between mean and median for a numeric data set.
• Compute the mean and median from a list of values and interpret what they represent.
• Recognize when median is more reliable than mean in the presence of outliers.

Learning Objectives

• Use keyword selection to make search queries more precise and relevant.
• Apply common search operators and quotation marks to narrow results.
• Interpret search filters and relevance to improve research quality.

Learning Objectives

• Define digital footprint, trace, reputation, and online presence using correct vocabulary.
• Explain how repeated online actions can affect online reputation over time.
• Identify examples of online behaviors that create positive or negative traces.+ Show more