Intro to Theoretical Computer Science

About this Course

Learn the basic concepts in theoretical computer science. Discover what they imply for solving tough computational challenges.

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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.