Intro to Theoretical Computer Science

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

Intro to Theoretical Computer Science


ScheduleOn Demand
Duration2 months
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Intro to Theoretical Computer Science

### 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.

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


### When does the course begin? This class is self paced. You can begin whenever you like and then follow your own pace. It’s a good idea to set goals for yourself to make sure you stick with the course. ### How long will the course be available? This class will always be available! ### How do I know if this course is for me? Take a look at the “Class Summary,” “What Should I Know,” and “What Will I Learn” sections above. If you want to know more, just enroll in the course and start exploring. ### Can I skip individual videos? What about entire lessons? Yes! The point is for you to learn what YOU need (or want) to learn. If you already know something, feel free to skip ahead. If you ever find that you’re confused, you can always go back and watch something that you skipped. ### How much does this cost? It’s completely free! If you’re feeling generous, we would love to have you contribute your thoughts, questions, and answers to the course discussion forum. ### What are the rules on collaboration? Collaboration is a great way to learn. You should do it! The key is to use collaboration as a way to enhance learning, not as a way of sharing answers without understanding them. ### Why are there so many questions? Udacity classes are a little different from traditional courses. We intersperse our video segments with interactive questions. There are many reasons for including these questions: to get you thinking, to check your understanding, for fun, etc... But really, they are there to help you learn. They are NOT there to evaluate your intelligence, so try not to let them stress you out. ### What should I do while I’m watching the videos? Learn actively! You will retain more of what you learn if you take notes, draw diagrams, make notecards, and actively try to make sense of the material.

Course provided by: Udacity