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Preview of Graph Algorithm Complete Curriculum | Algorithm Analysis and Design

Graph Algorithm Complete Curriculum | Algorithm Analysis and Design

This is a complete lesson on Graph Algorithms, covering graph data structures, directed vs undirected graphs, cyclic vs acyclic graphs, BFS, DFS, and cycle detection in directed graphs. Ideal for Computer Science, ICT, IT Fundamentals, Algorithm Analysis & Design, and AP CS–aligned courses, with slides, assessments, and answer keys included. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Graph Algorithms Slide Deck 💡 Complete Assessment Test 💡 Answer Key & Marking Scheme💡 Visu
Preview of Analysis of Algorithms II Complete Lesson  | Algorithm Analysis and Design

Analysis of Algorithms II Complete Lesson | Algorithm Analysis and Design

This lesson focuses on applying time complexity concepts to real problems using naive, efficient, and advanced algorithms. Ideal for Computer Science, ICT, IT Fundamentals, AP CS, and introductory Data Structures courses, with slides, teacher guide, assessments, and answer keys included. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Analysis of Algorithms II Slide Deck 💡 Detailed Teacher Guide & Teaching Script💡 Complete Assessment Test💡 Full Answer Key💡 Worked algorithm des
Preview of Analysis of Algorithms I Complete Lesson  | Algorithm Analysis and Design

Analysis of Algorithms I Complete Lesson | Algorithm Analysis and Design

This lesson covers time complexity, asymptotic analysis, Big O, Θ, Ω notations, growth orders, and algorithm efficiency evaluation. Ideal for Computer Science, ICT, IT Fundamentals, AP CS, and introductory Data Structures courses, with slides, teacher guide, assessments, and answer keys included. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Analysis of Algorithms I Slide Deck💡 Detailed Teacher Guide & Teaching Script💡 Complete Assessment Test💡 Full Answer Key💡 Worked algorit
Preview of Sorting Algorithm I Complete Curriculum  | Algorithm Analysis and Design

Sorting Algorithm I Complete Curriculum | Algorithm Analysis and Design

This is a Complete Lesson on Sorting Algorithms, covering Bubble Sort, Selection Sort, and Insertion Sort, step-by-step execution, and time complexity analysis (O(n²)). Ideal for Computer Science, ICT, IT Fundamentals, Algorithm Analysis & Design, and AP CS–aligned courses, with slides, assessments, and answer keys included. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Sorting Algorithms I Slide Deck💡 Complete Assessment Test💡 Answer Key & Marking Scheme💡 Visual sorting dia
Preview of TOK & AI 11B SIS: The Medical Triage Algorithm Review

TOK & AI 11B SIS: The Medical Triage Algorithm Review

The Medical Triage Algorithm Review is a TOK Strategic Interaction Scenario in which students decide whether a hospital should approve, revise, pause, or reject an AI triage tool after an audit suggests that it may be producing unequal outcomes.A hospital uses an AI system to help prioritize patients for urgent review. The tool is designed to improve efficiency and identify high-risk cases, but concerns arise when staff notice that some patients may be ranked lower because of biased data, proxy
Preview of TOK & AI 6B SIS: The Hiring Algorithm Review

TOK & AI 6B SIS: The Hiring Algorithm Review

TOK & AI 06B SIS: The Hiring Algorithm Review is a classroom-ready TOK Strategic Interaction Scenario that asks students to decide when an AI hiring tool should be trusted, limited, suspended, or rejected. In this simulation, an organization must decide whether to continue using an AI hiring platform after applicants and staff raise concerns that the system may disadvantage qualified candidates with nontraditional backgrounds. The tool appears useful and efficient, but the evidence raises questi
Preview of TOK & AI 6A Discussion:  Can an Algorithm Be Fair?

TOK & AI 6A Discussion: Can an Algorithm Be Fair?

TOK & AI 06A Discussion: Can an Algorithm Be Fair? is a classroom-ready TOK-style discussion activity that asks students to examine whether algorithmic fairness can be separated from the human choices behind rules, data, goals, and consequences. Students compare three short algorithmic decision cases: one system that applies the same rule to everyone, one system that adjusts for unequal opportunity, and one system that combines algorithmic recommendation with transparency and appeal. Students ra
Preview of Algorithms TRASHKETBALL Science Game - No Prep Grade 8 Review Activity

Algorithms TRASHKETBALL Science Game - No Prep Grade 8 Review Activity

Let's score some points with TRASHKETBALL!Trashketball is a No Prep Science game where students take shots to score points based on how quickly they answered the questions correctly! The game is playable with the whole class together, or you can play it as small groups. There are 20 questions and answers included. This version is Middle School Science, Grade 8, Algorithms. It is a digital resource, no printouts required. How It Works: The game runs in PowerPoint, and you can edit the questions a
Preview of Math Problems in Coding & Algorithms NO PREP GRADE 8 MATH GAME - BIG UNFAIR

Math Problems in Coding & Algorithms NO PREP GRADE 8 MATH GAME - BIG UNFAIR

This game is UNFAIR and the kids love it!8 teams answer every question!The Big Unfair Game is a No Prep Math review game where students earn points for answering questions, but the points can be positive or negative! The goal is to have the score the closest to zero at the end of the game.The game is playable with the whole class together, or you can play it as small groups. All questions and answers are included. This version is Middle School Math, Grade 8, Math Problems in Coding & Algorithms
Preview of Algorithms NO PREP GRADE 9 SCIENCE REVIEW GAME - BIG UNFAIR

Algorithms NO PREP GRADE 9 SCIENCE REVIEW GAME - BIG UNFAIR

Here is a short youtube video explaining how this review game works.This game is UNFAIR and the kids love it!8 teams answer every question!This is a No Prep High School Science review game where students earn points for answering questions, but the points can be positive or negative! The goal is to have the score the closest to zero at the end of the game.The game is playable with the whole class together, or you can play it as small groups. All questions and answers are included. This version i
Preview of Algorithms BUMP Science Game - No Prep G9 Review Activity

Algorithms BUMP Science Game - No Prep G9 Review Activity

Let’s BUMP the other teams to score points!BUMP is a No Prep Science game where students bump other teams off the platform to score points based on how quickly they answered the questions correctly! The game is playable with the whole class together, or you can play it as small groups. There are 20 questions and answers are included. This version is High School Science, G9, Algorithms. It is a digital resource, no printouts required. All questions and answers use text and mathematical notation
Preview of Algorithms NO PREP GRADE 8 SCIENCE REVIEW GAME - BIG UNFAIR

Algorithms NO PREP GRADE 8 SCIENCE REVIEW GAME - BIG UNFAIR

This game is UNFAIR and the kids love it!8 teams answer every question!The Big Unfair Game is a No Prep Science review game where students earn points for answering questions, but the points can be positive or negative! The goal is to have the score the closest to zero at the end of the game.The game is playable with the whole class together, or you can play it as small groups. All questions and answers are included. This version is Middle School Science, Grade 8, Algorithms. It is a digital re
Preview of Logic Gate Debugging DBQ/CER | Robotics Worksheet | Standard Aligned

Logic Gate Debugging DBQ/CER | Robotics Worksheet | Standard Aligned

📘 Full Length National Standard-Aligned DBQ CER Style Worksheet - Claim Evidence Reasoning | Logic Gate Debugging Worksheet | Evidence-Based Reading Engage your students in high-level critical thinking and evidence-based analysis on the subject of Robotics, with this Full Length DBQ CER Style Worksheet. This resource is designed to help students analyze real-world topics, interpret informational texts, and support answers with evidence—all while staying accessible for high school learners
Preview of Shortest Path Dijkstra Algorithm DBQ/CER | Computer Science | Standard Aligned

Shortest Path Dijkstra Algorithm DBQ/CER | Computer Science | Standard Aligned

📘 Full Length National Standard-Aligned DBQ CER Style Worksheet - Claim Evidence Reasoning | The Shortest Path Dijkstra Algorithm Worksheet | Evidence-Based Reading Engage your students in high-level critical thinking and evidence-based analysis on the subject of Computer Science, with this Full Length DBQ CER Style Worksheet. This resource is designed to help students analyze real-world topics, interpret informational texts, and support answers with evidence—all while staying accessible f
Preview of Heuristics vs Algorithms DBQ I Psychology I Document Based Questions

Heuristics vs Algorithms DBQ I Psychology I Document Based Questions

📘 Full Length DBQ Style Worksheet - Document Based Questions National Standard Aligned | Heuristics vs Algorithms Worksheet | Evidence-Based Reading Engage your students in high-level critical thinking and evidence-based analysis on the subject of Psychology, with this Full Length DBQ Style Worksheet. This resource is designed to help students analyze real-world topics, interpret informational texts, and support answers with evidence—all while staying accessible for high school learners.
Preview of Intro to Java: Lesson 4.1 — Searching & Sorting Algorithms

Intro to Java: Lesson 4.1 — Searching & Sorting Algorithms

Created by
Mr. H Codes
Lesson 4.1 — Searching & Sorting Algorithms (Java) | CSA Worksheet + Teacher GuideLinear Search • Binary Search • Selection Sort • Insertion SortThis complete, classroom-ready worksheet packet is perfect for any Intro to Java or AP Computer Science A class. Students learn four core algorithms essential for understanding data structures and AP CSA exam readiness: linear search, binary search, selection sort, and insertion sort. This resource includes a detailed student worksheet AND a full tea
Preview of Introduction to Java: Lesson 3.6 — Array Algorithms

Introduction to Java: Lesson 3.6 — Array Algorithms

Created by
Mr. H Codes
Introduction to Java: Lesson 3.6 — Array Algorithms (Searching, Max/Min, Shifting, Counting) Teach array algorithms with confidence using this fully printable, classroom-ready worksheet packet designed for high school Computer Science and CSA Java students. This resource breaks down essential algorithmic skills—including searching, traversal, max/min, shifting, and counting—into clear, student-friendly steps. Perfect for AP CSA, Intro to Java, and CS1 courses. This packet includes a complete s
Preview of Introduction to Java: Lesson 1.7 — Debugging Foundations

Introduction to Java: Lesson 1.7 — Debugging Foundations

Created by
Mr. H Codes
Help your Computer Science students master the foundations of debugging with this classroom-ready Java worksheet packet! Designed for Grades 9–12 and aligned with AP CSA + CSTA standards, Lesson 1.7 introduces students to the three major types of errors— compiler, runtime, and logic errors—and teaches practical strategies for finding and fixing bugs using print debugging and code tracing. This engaging, printable worksheet includes a clear mini-lesson, vocabulary practice, guided questions, co
Preview of Algorithm Assignment  - AP Psychology - Unit 2: Cognition (2.2)  - New CED

Algorithm Assignment - AP Psychology - Unit 2: Cognition (2.2) - New CED

AP Psychology Assignment for Unit 2: CognitionAP Psychology – Algorithms in Problem Solving Activity | Cognition Unit 2.2: Thinking & Decision-Making + RubricDescription:“The Algorithm Lab: Solving Problems the Hard Way (and Learning Why It Works)”Make the concept of algorithms come alive with this hands-on, no-prep AP Psychology activity that challenges students to think like computers — systematically, logically, and exhaustively. Students will experience algorithmic thinking by testing eve
Preview of Introduction to Java: Lesson 2.8 — Algorithmic Thinking

Introduction to Java: Lesson 2.8 — Algorithmic Thinking

Created by
Mr. H Codes
Introduction to Java: Lesson 2.8 — Algorithmic Thinking (Step-by-Step Algorithms, Pseudocode, Tracing, Coding Activity)Help your high school Computer Science students build the most essential skill in programming— algorithmic thinking—with this complete, ready-to-print worksheet packet designed specifically for CSA Java classrooms (Grades 9–12). This resource is perfect for AP CSA, Intro to Java, Computer Science Principles, or any programming course that needs strong foundations in logical
Preview of AP Psychology Cognition Lesson + Worksheet: Problem Solving & Cognitive Bias

AP Psychology Cognition Lesson + Worksheet: Problem Solving & Cognitive Bias

AP Psychology New CED PDF Lesson to teach Cognition, Problem Solving, and Cognitive Bias: Heuristics & Algorithms, Schemas & Prototypes, Assimilation & Accomodation, Selective Attention, and Cognitive Biases. This resource includes a guided lesson and application assignment where students analyze selective attention, define and apply schemas and prototypes, and examine how cognitive shortcuts can lead to bias and errors in thinking. The activity also connects cognition concepts to real-world ex
Preview of AP® Computer Science A: 2 Reference Types (Slides)

AP® Computer Science A: 2 Reference Types (Slides)

Version 4 (Release notes) Activities are provided to explore the String class methods Includes AP Questions for Random number algorithm generator Answers are always provided either in the "Speaker notes" or on the subsequent slides. Clear visual justification provided highlighting the difference between a primitive and a reference type in java. Student Objectives: Students should be able to describe the fundamental difference between a Reference type and a Primitive Type. and do the following; D
Preview of TOK & AI 11C Bundle: AI Bias + Medical Triage

TOK & AI 11C Bundle: AI Bias + Medical Triage

This TOK & AI bundle combines the Set 11 discussion activity and Strategic Interaction Scenario on AI fairness, bias, medical triage, healthcare algorithms, evidence, values, and responsibility.Included resources:TOK & AI 11A Discussion: Can AI Be Fair?TOK & AI 11B SIS: The Medical Triage Algorithm ReviewTogether, these resources help students move from concept discussion to applied decision-making. First, students examine whether AI can be fair and compare different meanings of fairness, includ
Preview of AP® Computer Science A: 9 Recursion (Slides)

AP® Computer Science A: 9 Recursion (Slides)

Overview. These slides are teachable, include multiple short programming activities and are completely editable to your liking. Complete with animations, explanations, code and algorithms covering Recursion, Searching and Sorting algorithms. Objectives: Effectively construct recursive algorithms and describe their advantages in comparison to iterative (for/while loops) ones. Construct basic recursive algorithms (recursive call and base case)Convert iterative algorithms into recursive ones o Fact
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