Computer Science Worksheets

Learning Objectives

• Explain how relational databases use tables, keys, and relationships to model real-world information.
• Identify good database design practices that reduce redundancy and improve data integrity.
• Evaluate statements about normalization, primary keys, and foreign keys in relational schemas.+ Show more

Learning Objectives

• Compare linear search and binary search in terms of required data conditions and time efficiency
• Trace the steps of a search algorithm and interpret the number of comparisons
• Select the best search method for a given data scenario and justify the choice

Learning Objectives

• Explain how generative AI and large language models learn patterns from data to produce new content
• Identify common limitations of generative AI, including errors, bias, and unclear reliability
• Apply strategies for deciding when to use generative tools and when to require human review

Learning Objectives

• Differentiate trees and graphs using key properties such as hierarchy, cycles, and connectivity
• Describe how traversal methods (like BFS/DFS) explore structures and find paths
• Apply graph and tree ideas to real-world relationship systems, such as maps and file structures

Learning Objectives

• Explain encryption, decryption, and the role of cryptographic keys in protecting data.
• Identify how cryptography helps secure communication and data online.
• Evaluate statements about ciphertext, plaintext, and security properties.

Learning Objectives

• Explain how relational databases use tables with records and fields to store structured data.
• Identify how relationships between tables support real-world queries and data integrity.
• Distinguish between effective table purposes and design choices in relational models.

Learning Objectives

• Define key algorithm vocabulary such as algorithm, sequence, process, and instruction.
• Identify the correct order of steps in a simple algorithm.
• Use logical reasoning to choose the best algorithm for a given situation.+ Show more

Learning Objectives

• Define malware, virus, download, and protection in simple computer-safety terms
• Identify risky signs in file names, links, and message attachments
• Explain how to protect devices and accounts when downloading files+ Show more

Learning Objectives

• Define malware and identify common types such as viruses and ransomware
• Explain how device protection strategies reduce cybersecurity risks
• Apply knowledge to choose safer actions when malware threats are possible+ Show more

Learning Objectives

• Define pseudocode and explain how it helps plan a program before writing code.
• Use sequence and logic to outline steps for a simple everyday task.
• Match planning terms (plan, sequence, logic) to their meanings.+ Show more

Learning Objectives

• Define event, trigger, response, and interaction in the context of interactive programs.
• Identify events and their responses in examples that include clicks, taps, key presses, and timed actions.
• Explain how the same program can run different responses depending on the event that occurs.

Learning Objectives

• Explain how inheritance supports code reuse by defining parent and child classes.
• Use method overriding to change child class behavior while keeping the same method interface.
• Describe polymorphism and predict how different objects can respond to the same method call.+ Show more

Learning Objectives

• Define and use the terms decision, choice, condition, and branch when discussing decision trees.
• Read a simple decision tree and follow the correct path to reach an outcome.
• Explain how different yes/no conditions lead to different results in a decision tree.

Learning Objectives

• Identify the rule in numeric, visual, and action patterns
• Use a pattern rule to predict what comes next in a sequence
• Explain how repeating steps help make accurate predictions+ Show more

Learning Objectives

• Identify repeated structures in a problem or algorithm
• Explain how pattern recognition helps predict outcomes
• Use the ideas of pattern and structure to improve a solution approach+ Show more

Learning Objectives

• Explain what an algorithm, sequence, instruction, and process mean
• Order steps in a correct sequence to complete a task
• Use clear, precise instructions to design an everyday or digital procedure+ Show more

Learning Objectives

• Explain how pseudocode uses plain language to describe program logic and sequence.
• Write and revise simple plans for tasks using ordered steps.
• Identify correct logic and order when statements or steps are given.

Learning Objectives

• Explain the difference between arrays and lists and when each is useful.
• Use indexing, iteration, and search strategies to find elements and compute totals or averages.
• Analyze how ordered collections affect retrieval and update operations.

Learning Objectives

• Put a set of actions in the correct order to complete a multi-step process.
• Identify what happens first, next, and last in a given set of steps.
• Choose the correct sequence when solving a simple problem.

Learning Objectives

• Describe the typical incident response process and the priorities during containment and recovery.
• Explain why documentation and evidence handling matter during investigation and restoration.
• Use decision-making skills to select appropriate next steps during an incident.

Learning Objectives

• Explain how algorithms use input, processing, and output to make decisions.
• Describe how relationships in data help an AI system generate results.
• Evaluate how algorithm design choices can affect accuracy and reliability.

Learning Objectives

• Define and use the terms table, row, and column when describing data displays.
• Identify what information belongs in a specific row or column in a table.
• Use table structure to compare categories and find totals or relationships.+ Show more

Learning Objectives

• Define and use the terms benefit, risk, privacy, and fairness when talking about AI.
• Identify common everyday examples of how AI is used and explain one benefit and one risk.
• Explain how privacy, fairness, and accuracy can affect people when AI is used.+ Show more

Learning Objectives

• Explain how taking breaks supports focus and learning.
• Identify healthy technology routines and describe what a balanced screen time habit looks like.
• Compare healthy and unhealthy technology choices in everyday situations.

Learning Objectives

• Define cyberbullying and harassment and distinguish them from normal online disagreement
• Identify effective response steps, including reporting and preserving evidence
• Use bystander and support strategies to help someone affected by cyberbullying+ Show more

Learning Objectives

• Explain how decomposition breaks a large problem into smaller subproblems.
• Use a simple strategy to plan steps before coding.
• Identify whether a statement correctly describes decomposition and solutions.

Learning Objectives

• Distinguish regression models from classification models based on the type of prediction target.
• Identify factors that affect prediction accuracy, including model fit and variable relationships.
• Use basic reasoning to select appropriate modeling choices for numerical prediction problems.

Learning Objectives

• Explain how AI finds similarities and differences in data.
• Define pattern recognition, data, classification, and prediction using examples.
• Identify everyday uses of pattern recognition in AI systems.+ Show more

Learning Objectives

• Describe artificial intelligence using a familiar example of smart technology.
• Explain how labeled training examples help AI recognize repeated patterns.
• Explain how AI uses patterns to predict a new picture's subject.+ Show more

Learning Objectives

• Identify everyday benefits of AI tools using familiar classroom examples.
• Explain accuracy risks using examples of incorrect AI results.
• Describe how to protect personal information when using AI tools.+ Show more

Learning Objectives

• Explain how previous choices provide clues for suggested items.
• Define recommendation, preference, prediction, and algorithm using lesson examples.
• Identify repeated patterns that help systems predict possible interests.+ Show more

Learning Objectives

• Explain how a learning program builds a model from examples.
• Identify training data in a class's fruit-sorting example.
• Describe shape and color as features used to find patterns.+ Show more

Learning Objectives

• Identify inputs, outputs, events, and feedback in simple interactive programs.
• Explain how a user action starts a program's instructions.
• Describe how clear feedback helps users decide what happens next.+ Show more

Learning Objectives

• Distinguish expected outcomes from actual results in a program test.
• Compare recorded observations to identify successful behavior and program problems.
• Explain why testing different inputs examines more program conditions.+ Show more

Learning Objectives

• Identify movement commands and explain the importance of their order.
• Predict program outcomes when the command sequence changes.
• Arrange movement commands to complete a planned route.+ Show more

Learning Objectives

• Distinguish a coding project’s goal from its planned features.
• Identify screen objects and their placement in a project sketch.
• Sequence instructions to describe how a planned program should work.+ Show more

Learning Objectives

• Identify rows, columns, cells, and headings in a data table.
• Construct a table with clear headings and correctly paired entries.
• Compare category counts to identify the greatest and smallest values.+ Show more

Learning Objectives

• Identify titles, labels, scales, and keys before reading graph values.
• Compare category amounts represented in bar graphs and pictographs.
• Calculate quantities using the value stated in a pictograph key.+ Show more

Learning Objectives

• Distinguish changes over time from repeated arrangements in recorded data.
• Identify increases and decreases by comparing successive recorded values.
• Recognize repeated numerical changes and alternating patterns in data sets.+ Show more

Learning Objectives

• Identify conditions and outcomes in if-then rules
• Explain how branches create different program pathways
• Describe how inputs affect conditional decisions+ Show more

Learning Objectives

• Identify titles, labels, scales, and keys before reading graph values.
• Compare category amounts represented in bar graphs and pictographs.
• Calculate quantities using the value stated in a pictograph key.+ Show more

Learning Objectives

• Explain how precise instructions help an algorithm reach its goal.
• Identify unclear or incorrectly ordered steps in a simple algorithm.
• Construct ordered instructions for completing a familiar task.+ Show more

Learning Objectives

• Identify how testing reveals whether an algorithm works as intended
• Explain how test results reveal weak points in a solution
• Describe how revising instructions can improve accuracy and clarity+ Show more

Learning Objectives

• Identify the roles of common flowchart symbols and connecting arrows.
• Trace labeled decision branches to determine the next algorithm step.
• Explain why a return path creates a loop within an algorithm.+ Show more

Learning Objectives

• Identify claims, evidence, and conclusions in explanations about survey data.
• Use exact table and graph counts to justify a claim.
• Compare vote counts to determine differences between coding activity preferences.+ Show more

Learning Objectives

• Compare algorithms that solve the same problem
• Identify how steps, time, and effort affect efficiency
• Explain how programmers optimize solutions without changing results+ Show more

Learning Objectives

• Explain bug, debug, error, and troubleshoot using simple program examples.
• Identify sequencing errors caused by commands in the wrong order.
• Distinguish logical errors from sequencing errors in simple programs.+ Show more

Learning Objectives

• Explain how decomposition makes a complex computer project more manageable.
• Identify subproblems within the class animal quiz development project.
• Explain why a dependency determines the order of project tasks.+ Show more