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![Preview of Data Structures & Algorithms Step-by-step Curriculum Using C++ [Complete Bundle]](https://ecdn.teacherspayteachers.com/cdn-cgi/image/format=avif,quality=70,width=525,height=525,onerror=redirect/thumbitem/Complete-Data-Structures-Algorithms-Step-by-Step-Curriculum-15377190-1769843565/750f-15377190-1.jpg)
Data Structures & Algorithms Step-by-step Curriculum Using C++ [Complete Bundle]
Students struggle with Data Structures because most materials are abstract, rushed, and hard to follow. This complete, visual, step-by-step curriculum breaks every concept down using clear diagrams, structured explanations, and worked examples. Each lesson follows a logical teaching sequence that builds real understanding while saving teachers hours of preparation time. ────────── ⋆⋅☆⋅⋆ ────────── WHAT THIS CURRICULUM COVERS🧠 Foundations Introduction to Data Structures, Algorithms & Dynami
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Algorithm Analysis & Design | Complete Step-by-Step Curriculum
This Curriculum covers algorithm design strategies, mathematical analysis, time and space complexity, growth rates, searching, sorting, graph algorithms, and pattern algorithms, with each unit standing as a complete, self-contained lesson while also fitting into a cohesive full course. ────────── ⋆⋅☆⋅⋆ ────────── Curriculum Structure & Coverage 1. Foundations of Algorithms ✏️ Introduction to Algorithms ✏️ Algorithm definition and characteristics ✏️ Algorithm analysis and design concept
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Sorting Algorithms II: Counting Sort, Radix Sort, and Merge Sort with Algorithm
This lesson provides a complete foundation in advanced Sorting Algorithms, covering Counting Sort, Radix Sort, and Merge Sort, including step-by-step execution, divide-and-conquer strategy, non-comparison sorting, and time complexity analysis. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Sorting Algorithms II Slide Deck (PPT + PDF) 💡 Step-by-step visual sorting diagrams💡 Python code implementations💡 Worked sorting examples and traces💡 Ready for in-person, online, or hybrid
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
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
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Pattern Searching Algorithms Lesson | Operations, Diagrams & Examples included
This lesson provides a complete foundation in Pattern Searching Algorithms, covering naive pattern searching techniques and regular expressions for text matching, with step-by-step pattern comparisons and Python implementations. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Pattern Searching Algorithms Slide Deck💡 Visual step-by-step pattern matching diagrams💡 Python code implementations💡 Worked pattern matching examples💡 Ready for in-person, online, or hybrid classrooms────
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Searching Algorithms Lesson: Linear, Binary, Jump & Interpolation Search
This lesson provides a complete foundation in Searching Algorithms, covering Linear Search, Binary Search, Jump Search, and Interpolation Search, including step-by-step execution, Python implementations, and time complexity analysis. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Searching Algorithms Slide Deck💡 Visual step-by-step search diagrams💡 Python code implementations💡 Exam-style search problems💡 Ready for in-person, online, or hybrid classrooms────────── ⋆⋅☆⋅⋆ ─────
8th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
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
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Analysis of Algorithm Complete Lesson | Operations, Diagrams & Examples Included
This lesson teaches students how to think about algorithm efficiency, not just how to code. Learners understand why some solutions scale and others fail, and how to compare algorithms independent of hardware, language, or input data. It moves from intuition to rigor—bridging real program timing with mathematical analysis—so students can predict performance before implementation. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What an algorithm is vs a program vs
10th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Introduction to Algorithms: Analysis, Design, Time & Space Complexity and Python
This lesson provides a complete, beginner-friendly introduction to Algorithms, covering algorithm concepts, analysis and design, time and space complexity, algorithm vs pseudocode, major algorithm types, and Python tools (Anaconda, Jupyter, Spyder). ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Introduction to Algorithms Slide Deck (PPT + PDF)💡 Clear visual explanations and diagrams💡 Pseudocode examples💡 Python-based algorithm lab overview💡 Ready for in-person, online, or hybrid
8th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Huffman’s Algorithm Complete Lesson | Operations, Diagrams & Examples included
This lesson teaches students how real-world data compression works by walking through Huffman’s Algorithm from concept to full C++ implementation. Learners see how character frequencies drive compression, how a binary tree is constructed using a priority queue, and how variable-length binary codes are generated—exactly the techniques used in text compression and image formats like JPEG. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What Huffman Coding is and w
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Algorithm Analysis & Design: Time Complexity and Asymptotic Notations
This lesson provides a complete, concept-clear foundation in Time Complexity and Asymptotic Notations, covering performance analysis, worst-case, best-case, and average-case analysis, Big O, Big Ω, Big Θ notations, and orders of growth. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Time Complexity and Asymptotic Notations Slide Deck (PPT + PDF)💡 Growth comparison graphs💡 Worked Big-O example problems💡 Algorithm analysis case studies💡 Ready for in-person, online, or hybrid cla
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Algorithm Analysis & Design | Brute Force and Exhaustive Search Complete Lesson
This lesson provides a complete foundation in Brute Force and Exhaustive Search within Algorithm Analysis and Design, covering brute-force strategy, selection sort, bubble sort, linear (sequential) search, brute-force string matching, and exhaustive search for optimization problems including Traveling Salesman Problem, Knapsack Problem, and Assignment Problem. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Brute Force Slide Deck (PPT + PDF)💡 Full Exhaustive Search Slide Deck (PPT +
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Algorithm Analysis & Design: Limits, Growth Rates & Runtime Analysis
This lesson provides a complete foundation in Orders of Growth within Algorithm Analysis and Design, covering relative rates of growth, logarithmic, polynomial, exponential and factorial functions, limits-based comparisons, L’Hôpital’s Rule, Stirling’s Formula, and Big-O classifications. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Orders of Growth Slide Deck (PPT + PDF)💡 Growth comparison graphs and figures💡 Worked mathematical examples using limits💡 Algorithm runtime estimat
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Algorithm Analysis & Design: Mathematical Analysis of Recursive Algorithms
This lesson provides a complete, concept-clear foundation in the Mathematical Analysis of Recursive Algorithms, covering recurrence relations, basic operation counting, forward and backward substitution, and mathematical evaluation of recursive algorithm efficiency. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full Mathematical Analysis of Recursive Algorithms Slide Deck (PPT + PDF)💡 Worked recursive algorithm examples💡 Forward and backward substitution solutions💡 Operation-count
10th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
Python Coding For Beginners | Debugging & Errors Project | Level 2
In this interactive Python debugging challenge, students step into the role of a Coding Club tasked with fixing a broken pricing system for a school Hot Cocoa Stand before the winter concert begins. As they investigate realistic code errors, students practice identifying logic mistakes, tracing values, and debugging Python programs that affect real-world outcomes like pricing and totals. What Students Will Doanalyze Python code snippets to identify logic and syntax errorsfix bugs involving condi
7th - 10th
Computer Science - Technology, Engineering, Robotics
Algorithm Showdown and Real-Life Algorithm Design Project - AP CSP
Looking for a meaningful project to go with the Code.org AP CSP Algorithms unit? If you have noticed that Code.org does not really include a full project for this unit, this resource fills that gap with a structured, student-friendly assignment that helps learners apply algorithmic thinking in a clear and practical way. This resource gives students the chance to do more than just answer lesson questions. They first analyze two different algorithms for the same task, decide which one is more e
6th - 12th, Higher Education
Computer Science - Technology, Instructional Technology, Robotics
Algorithms & Flow Charts Lesson
Are you trying to teach your students algorithms for computing or how to create a flow chart? Need something written for the middles grades, then this is your lesson. I have used this with my 7th & 8th graders and when coupled with the Create-A-Poster - FLOW CHARTS, makes a great introduction to coding and using logic. The slideshow includes prompts for students to write important information in their Engineering Logs, and an exit activity - a magnet summary. The slideshow is presented as a te
5th - 10th
Computer Science - Technology, Engineering, Robotics
NGSS
MS-ETS1-1
Intro to Java: Lesson 4.1 — Searching & Sorting Algorithms
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
9th - 12th
Computer Science - Technology
CCSS
RST.9-10.3
, RST.9-10.7
, RST.9-10.10
+17
Introduction to Java: Lesson 3.6 — Array Algorithms
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
9th - 12th
Computer Science - Technology
CCSS
RST.9-10.3
, RST.9-10.7
, RST.11-12.3
+9
Everyday Algorithms in Action
Lesson Description: Everyday Algorithms ProjectThe Everyday Algorithms Project helps students understand how algorithms are used in real life by companies like YouTube, Netflix, Spotify, TikTok, Instagram, Amazon, and Twitter. Students choose one company, research how its algorithm works, and explain it using computer science vocabulary from the Algorithms Unit. They describe how the algorithm uses sequencing, selection, and iteration, and they discuss how it searches, sorts, and improves ef
9th - 12th
Computer Science - Technology
Merge Sort Complete Lesson | Operations, Diagrams & Examples included
This lesson teaches students how efficient sorting works at scale using Merge Sort, a classic divide-and-conquer algorithm known for its consistent performance. Learners clearly see how an array is recursively divided, how sorted subarrays are merged, and why Merge Sort outperforms basic sorting algorithms—all supported by a complete C++ implementation. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What Merge Sort is and why it’s efficient ✏️ The Divide & C
9th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
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
10th - 12th, Higher Education
Computer Science - Technology
Introduction to Flow Charting in programming and Computer Science.
This complete lesson introduces the fundamentals of Flow Charting in Programming and Computer Science. Students will learn how to visually represent algorithms, decisions, and processes using standard flowchart symbols. The lesson emphasizes logical thinking and step-by-step problem-solving. It's ideal for beginners learning to plan, design, and communicate their code. ▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧ The Following Are Included in This Curriculum✤ PDF Lessons ✤ PowerPoint Presentations ✤ PowerPoint
6th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
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Complete Computer Science & Python Programming Lessons [ULTIMATE CODING BUNDLE].
This Bundle offers an all-in-one curriculum that combines core Computer Science concepts with practical Python programming skills. It covers everything from algorithms, flowcharts, memory management, and file systems to hands-on coding in Python. Designed for beginners and intermediate learners, this bundle is packed with engaging, classroom-ready content for a full academic term or self-paced study. ▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧▧ The Following Are Included in This Curriculum ✤ PDF Lessons ✤ Pow
7th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
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