## Algorithms, Part I

Start Date: 11/29/2020

 Course Type: Common Course

This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. All the features of this course are available for free. It does not offer a certificate upon completion.

#### Course Syllabus

We illustrate our basic approach to developing and analyzing algorithms by considering the dynamic connectivity problem. We introduce the union−find data type and consider several implementations (quick find, quick union, weighted quick union, and weighted quick union with path compression). Finally, we apply the union−find data type to the percolation problem from physical chemistry.

#### Course Introduction

Algorithms, Part I This course covers algorithms in two parts. In the first part, we cover basic algorithmic ideas, as well as a few applications of those ideas, such as permutations, sorting, and recursion. We'll also explain basic computer science concepts and a little bit about the human brain. Our first task is to introduce the idea of a "program". We'll do so by looking at our favorite programming languages (including Python), and a little bit about how we use programs to solve problems. We'll cover some basic data structures and algorithms, and then focus on a few interesting topics. Part II introduces a few topics that are very important for practical applications, and focuses on algorithms that can help us solve problems. Learning Outcomes: After taking this course, you will be able to explain some of the most important concepts and algorithms, and use them in solving typical problems for data structures and algorithms. You will also be able to explain some of the most important algorithms and data structures used in scientific research. You will also be able to explain some of the most important problems that mathematicians and scientists face, and how those problems are solved. * Please note that the free version of this class gives you access to all of the instructional videos and handouts. The peer feedback and quizzes are only available in the paid version.Algorithms, Part I Algorithms, Part II Problems Problems Solving Applications <|endoftext|

#### Course Tag

Data Structure Priority Queue Algorithms Java Programming

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