Brief Introduction
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.Course Summary
Learn the fundamental concepts of computer science and explore the theoretical foundations of computation with this introductory course.Key Learning Points
- Gain an understanding of the key concepts in theoretical computer science
- Explore the connection between theory and practice in computer science
- Learn how to analyze algorithms and solve computational problems
Related Topics for further study
- Theoretical Computer Science
- Algorithm Analysis
- Computational Problems
- Computational Models
- Automata Theory
Learning Outcomes
- Understand the fundamentals of theoretical computer science
- Analyze algorithms and solve computational problems
- Explore the connection between theory and practice in computer science
Prerequisites or good to have knowledge before taking this course
- Basic understanding of programming concepts
- High school level mathematics
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
- Video Lectures
Similar Courses
- Algorithms and Data Structures
- Introduction to Computer Science
Related Education Paths
Notable People in This Field
- Donald Knuth
- Barbara Liskov
Related Books
Description
Learn the basic concepts in theoretical computer science. Discover what they imply for solving tough computational challenges.Requirements
- You should have a basic understanding of algorithms (such as CS215 ) and programming (such as CS101 ). No prior knowledge about theoretical computer science required! See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- 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.
Summary of User Reviews
Discover the world of theoretical computer science with this course at Udacity. The course has received positive reviews from learners who found it informative and engaging. Many users praised the course for its challenging nature and comprehensive approach to the subject matter.Key Aspect Users Liked About This Course
comprehensive approach to the subject matterPros from User Reviews
- Challenging content that pushes learners to think critically
- Engaging lectures and interactive exercises
- Well-structured course that covers all the key concepts
- Instructors are knowledgeable and responsive to learners' questions
- Great preparation for more advanced computer science courses
Cons from User Reviews
- Some learners found the content too difficult to follow
- The course may not be suitable for beginners with no prior programming experience
- Some users reported technical issues with the platform
- The course could benefit from more interactive elements to keep learners motivated
- The course could cover more real-world applications of theoretical computer science
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