Introduction to Theoretical Computer Science

开始时间: 随时 持续时间: 自主

所在平台: Udacity

课程类别: 计算机科学

大学或机构: Udacity Self



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At the end of this course, you will have a solid understanding of theoretical computer science. This will not only allow you to recognize some of the most challenging algorithmic problems out there, but also give you powerful tools to deal with them in practice.

Lesson 1: Challenging Problems
An introduction to tough problems and their analysis

Lesson 2: Understanding Hardness
What we mean when a problem is “hard” and the concept of NP-completeness

Lesson 3: Showing Hardness
Tools to let you recognize and prove that a problem is hard

Lesson 4: Intelligent Force
Smart techniques to solve problems that should – theoretically – be impossible to solve

Lesson 5: Sloppy Solutions
Gaining speed by accepting approximate solutions

Lesson 6: Poking Around
Why randomness can be of help – sometimes. An introduction to complexity classes.

Lesson 7: Ultimate Limits
Problems that no computer can ever solve. In theory.



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This class teaches you about basic concepts in theoretical computer science -- such as NP-completeness -- and what they imply for solving tough algorithmic problems.


计算机 计算机科学 计算机理论 NP问题



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