Introduction to Dapps development with Rust and Foundry

About this course

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 FoundrySorting AlgorithmsSelection sort, insertion sort, merge sort, and quicksortAnalysis of sorting algorithmsImplementation of sorting algorithms in a programming languageSearching AlgorithmsLinear search and binary searchAnalysis of searching algorithmsImplementation of searching algorithms in a programming languageIn Part 2Graph AlgorithmsGraph representation and traversalBreadth-first search and depth-first searchDijkstra's algorithm for shortest pathAnalysis and implementation of graph algorithms in a programming language'In Part 3 with FoundryDynamic ProgrammingOverview of dynamic programmingMemoization and tabulationKnapsack problem and other

Course objectives

• provide a foundation in algorithm design and analysis
• introduce various algorithmic paradigms
• equip students with skills to solve practical problems using algorithms