Algorithmic Thinking (Part 1)

Start Date: 12/13/2020

Course Type: Common Course

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About Course

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part course builds on the principles that you learned in our Principles of Computing course and is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to real-world computational problems. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. As the central part of the course, students will implement several important graph algorithms in Python and then use these algorithms to analyze two large real-world data sets. The main focus of these tasks is to understand interaction between the algorithms and the structure of the data sets being analyzed by these algorithms. Recommended Background - Students should be comfortable writing intermediate size (300+ line) programs in Python and have a basic understanding of searching, sorting, and recursion. Students should also have a solid math background that includes algebra, pre-calculus and a familiarity with the math concepts covered in "Principles of Computing".

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Course Introduction

Algorithmic Thinking (Part 1) In this first part, we will focus on the topic of how to find functions in a computer program. We will cover basic algorithmic ideas and some of the techniques used to find functions using a set of rules. We will discuss some of the most important ideas and algorithms for finding functions, as well as some of the subtleties in the rules that are used to find functions. We will also introduce a very powerful algorithm for finding functions, and use it to solve a very interesting problem. In part 2, we will focus on a different key finding algorithm, and will discuss more complex problems that may require a more sophisticated algorithm to solve. Good luck as you get started! Algorithmic Thinking: Part 1 - Finding Functions in a Computer Program Good luck as you get started! Algorithmic Thinking: Part 2 - Finding Functions in a Computer Program Algorithmic Thinking: Part 3 - Finding Functions in a Computer Program Algorithmic Thinking: Part 4 - Finding Functions in a Computer Program Algorithmic Thinking (Part 2) In this second part, we will focus on the topic of how to find functions in a computer program. We will cover basic algorithmic ideas and some of the techniques used to find functions. We will discuss some of the most important ideas and algorithms for finding functions, as well as some of the subtleties in the rules

Course Tag

Graph Theory Algorithms Python Programming Graph Algorithms

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