- Introduction
- Rust Algorithms I
- Rust Algorithms II
- Rust Algorithms III
- Rust Algorithms IV
- Rust Algorithms V
- Getting Started With Foundry
- Rust Algorithms Results
- Next Course Introduction
- Course Completion
How to start developing new and improved Dapps with Rust?
Let's learn the exciting optimizations possible with Rust, and let's start with algorithmic sufficiency first.
Students will learn how to calculate algorithmic efficiency and complexity, and how to design algorithms that are both correct and efficient. The course will cover several algorithmic paradigms, such as divide-and-conquer, dynamic programming, and greedy algorithms. Additionally, the course will introduce students to algorithmic techniques for specific types of problems, such as sorting, searching, graph traversal, and dynamic programming. This course will provide students with a solid foundation in algorithms, including their design, analysis, and implementation. Students will learn to evaluate algorithmic efficiency and complexity and to design algorithms that are both correct and efficient.
Course Outline:
Introduction to Foundry
Sorting Algorithms
Selection sort, insertion sort, merge sort, and quicksort
Analysis of sorting algorithms
Implementation of sorting algorithms in a programming language
Searching Algorithms
Linear search and binary search
Analysis of searching algorithms
Implementation of searching algorithms in a programming language
In Part 2
Graph Algorithms
Graph representation and traversal
Breadth-first search and depth-first search
Dijkstra's algorithm for shortest path
Analysis and implementation of graph algorithms in a programming language
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In Part 3 with Foundry
Dynamic Programming
Overview of dynamic programming
Memoization and tabulation
Knapsack problem and other examples of dynamic programming
Analysis and implementation of dynamic programming algorithms in a programming language
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I am a self-taught software practitioner and believe in open-source for digital trust and transparency in digital ledgers and distributed ledgers for computing. I have shown presentable commitment and excellence in product engineering for software and DevOps practices for 6 years in the global market. I had a success rate in my endeavors for four years.
I am very compatible with soft-skill mastery and have a presentable devotion to improvement at the same time I am introverted in my studies and appreciate oriented channels for better growth curves.