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Introduction to Foundry Algorithmic Development with Rust

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 …

Overview

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:

  1. Introduction to Foundry
  1. Sorting Algorithms
  • Selection sort, insertion sort, merge sort, and quicksort
  • Analysis of sorting algorithms
  • Implementation of sorting algorithms in a programming language
  1. Searching Algorithms
  • Linear search and binary search
  • Analysis of searching algorithms
  • Implementation of searching algorithms in a programming language

In Part 2

  1. 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

In Part 3 with Foundry
  1. 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

to course : https://www.coursevox.com/course/introduction-to-opment-with-rust/

to more: https://inria.hal.science/hal-03737878/document

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:

  1. Introduction to Foundry
  1. Sorting Algorithms
  • Selection sort, insertion sort, merge sort, and quicksort
  • Analysis of sorting algorithms
  • Implementation of sorting algorithms in a programming language
  1. Searching Algorithms
  • Linear search and binary search
  • Analysis of searching algorithms
  • Implementation of searching algorithms in a programming language

In Part 2

  1. 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

In Part 3 with Foundry

  1. 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

to course : https://www.coursevox.com/course/introduction-to-opment-with-rust/

to more: https://inria.hal.science/hal-03737878/document

Curriculum

Instructor

    In these 6 years of experience, I have completed around 14+ brand representation in founder, executive, leadership, developer, and senior volunteer roles including non-profits. I completed my bachelor's in computing science from Coventry University at PSB Singapore Campus, I completed my diploma in information communication at PSB Academy, I had the opportunity to study Asian and European markets for business development and had the opportunity to diligently develop my soft skills to best and increased my cultural knowledge with in-person communication. Product engineering is one of my core specializations but I am also an expert in Agile and DevOps. These few years I have also delved into blockchain and metaverse.I had the opportunity to practice some Mandarin and Cantonese with my neighbors adding to 32 languages that I practiced at some level. I also am proficient in arts.

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    Requirements

    • Some intermediate programming experience required.

    Target audiences

    • Software Developers
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