Intro to Theoretical Computer Science (Udacity)

Intro to Theoretical Computer Science (Udacity)
Free Course
Categories
Effort
Certification
Languages
You should have a basic understanding of algorithms (such as CS215) and programming (such as CS101). No prior knowledge about theoretical computer science required!
Misc

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Intro to Theoretical Computer Science (Udacity)
Dealing with Challenging Problems. This class teaches you about basic concepts in theoretical computer science -- such as NP-completeness -- and what they imply for solving tough algorithmic problems.

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

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.




What You Will Learn


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.


Prerequisites and Requirements

You should have a basic understanding of algorithms (such as Intro to Algorithms) and programming (such as Introduction to Python Programming). No prior knowledge about theoretical computer science required!



MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Free Course
You should have a basic understanding of algorithms (such as CS215) and programming (such as CS101). No prior knowledge about theoretical computer science required!

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.