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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
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
Bubble Sort complete Lesson | Operations, Diagrams & Examples included
This lesson introduces students to how sorting works at the most fundamental level, using Bubble Sort to show how comparisons and swaps gradually bring order to data. Learners clearly see how values move step by step, why multiple passes are required, and how sorting algorithms operate internally—supported by a simple, complete C++ program. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What sorting is and why it’s important ✏️ Core idea behind Bubble Sort✏️ How
10th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
Binary Search Complete Lesson | Operations, Diagrams & Examples Included
This lesson teaches students how efficient searching works by contrasting sequential search with binary search, showing why sorted data enables dramatically faster lookups. Learners clearly see how search space is reduced by half at every step, how indices move during execution, and how binary search achieves logarithmic performance—all supported by a complete C++ program. ────────── ⋆⋅☆⋅⋆ ────────── 🧠 What Students Will Actually Master ✨✨ ✏️ What searching algorithms are and why they
10th - 12th, Higher Education
Computer Science - Technology, Engineering, Instructional Technology
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