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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
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
![Preview of Introduction To Data Structures, Algorithms & Dynamic Array [ Includes C++ ]](https://ecdn.teacherspayteachers.com/cdn-cgi/image/format=avif,quality=70,width=525,height=525,onerror=redirect/thumbitem/Introduction-To-Data-Structures-Algorithms-Dynamic-Array-Includes-C--15078860-1768712090/750f-15078860-1.jpg)
Introduction To Data Structures, Algorithms & Dynamic Array [ Includes C++ ]
This lesson gives learners the mental framework behind why data structures exist, when to use each one, and how to implement them correctly . Perfect For Programming, Coding, Computer Science & ICT classes ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨✏️What data structures are — and why they exist✏️How data organization impacts speed and memory✏️How to choose the right data structure for a problem ✏️Arrays vs Dynamic Arrays — when fixed size fails✏️Array vs Linked
9th - 12th, Adult Education, 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
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: 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 and Design: Foundations, GCD Algorithms & Numerical Methods
This lesson provides a complete foundation in GCD Algorithms and Numerical Methods, covering Euclid’s Algorithm, the Middle-School GCD algorithm, time complexity analysis, and numerical root-finding using the Newton–Raphson method. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included 💡 Full GCD Algorithms & Numerical Methods Slide Deck (PPT + PDF)💡 Worked GCD examples💡 Time complexity comparisons💡 Newton–Raphson numerical method walkthroughs💡 Ready for in-person, online, or hybrid classroo
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Also included in: Algorithm Analysis & Design | Complete Step-by-Step Curriculum
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
Binary Search Tree Complete Lesson | Operations, Diagrams & Examples included
This lesson gives students a deep, practical understanding of Binary Search Trees, showing how ordered data is stored, searched, traversed, and modified efficiently using a full C++ implementation. Learners move beyond diagrams to see exact algorithms in action—including searching, traversal strategies, and the hardest operation: deletion—building confidence with one of the most important non-linear data structures. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️
9th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
STL Programming Complete Lesson | Object Oriented Programming ( C++ )
This lesson introduces students to the C++ Standard Template Library (STL). It is designed for AP Computer Science, Intro to C++, Object-Oriented Programming, College CS1/CS2, homeschool advanced programming, and coding bootcamps. ✨✨ What Students Will Learn ✨✨ ────────── ⋆⋅☆⋅⋆ ────────── ✔ What STL Is & Why It’s Important ✔ STL Components: Containers, Algorithms, Iterators, Functors ✔ Sequence Containers (vector, list, deque, array, forward_list) ✔ Container Adapters ✔ Associative Containers
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Object Oriented Programming (OOP) and Exception Handling in python Programming
This lesson delivers a complete, structured introduction to Object-Oriented Programming in Python, combined with error handling, exceptions, multithreading, generators, and core standard libraries. ────────── ⋆⋅☆⋅⋆ ────────── What’s Included💡 Full OOP and Exception Handling slide deck 💡 Step-by-step Python code examples 💡 Real-world class, inheritance, and polymorphism scenarios 💡 Practical error handling and debugging examples 💡 Advanced topics presented in a structured, teachable flow
9th - 12th, Adult Education, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Heap Data Structure Complete Lesson | Operations, Diagrams & Examples included
This lesson teaches students how priority-based data structures work internally by breaking down the Heap data structure from concept to full C++ implementation. Learners see how heaps maintain order efficiently, why they are stored as arrays, and how insertion and deletion automatically preserve the heap property—the same logic used behind priority queues and scheduling systems. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What a Heap is and why it’s used ✏️
9th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
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