Algorithms Specialization

Start Date: 07/04/2021

Course Type: Specialization Course

Course Link: https://www.coursera.org/specializations/algorithms

About Course

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This specialization is an introduction to algorithms for learners with at least a little programming experience. The specialization is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this specialization, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists. About the instructor: Tim Roughgarden has been a professor in the Computer Science Department at Stanford University since 2004. He has taught and published extensively on the subject of algorithms and their applications.

Course Syllabus

Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Graph Search, Shortest Paths, and Data Structures
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

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Course Introduction

Learn To Think Like A Computer Scientist. Master the fundamentals of the design and analysis of algorithms. Algorithms Specialization This course is designed for learners with some or no prior programming experience in computer science or mathematics. We want to introduce the foundations of algorithms to the general audience, but more importantly this course will help you to apply the algorithms to solve real world problems. This is the third and last course in the specialization, and it is the most rigorous. We hope that learners who complete the first two courses in this specialization are able to understand the topics covered in these third courses. This course requires some prior knowledge of Python programming, as there are multiple files to download and some interactive parts to the course. There are also several functions to refer to to for help. The course consists of six modules, each consisting of an equal amount of video lectures, reading assignments, and quizzes. The final project is a computer program (written in Python) that solves a real world problem. The lectures contain the basics of the algorithms, but the short form of the project is an interactive coding game with your classmates using Python. All of the materials required for the course are available for free. All you will need is a computer with a stable Internet connection, and a willingness to put in the extra effort required in the course. The course is structured as part of a larger Specialization in Computer Science and Programming, and each module is a dedicated video lecture with an assigned homework task. The quizzes are intended to reinforce the material learned in each

Course Tag

Algorithms Dynamic Programming Greedy Algorithm Divide And Conquer Algorithms

Related Wiki Topic

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