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The website contains the course syllabus, schedule with assigned readings, homework assignments, and other course materials. All class announcements will be made through Piazza, so please set your notifications appropriately. Please post questions about the course material to Piazza instead of emailing the course staff directly. It is likely that other students will have the same questions as you and may be able to provide answers in a more timely fashion. Active participation on Piazza may add extra points to your participation grade.

Welcome to CS Theory of Computation! In this course will will look at various theoretical models of computation and examine the computational power of these models. For each modele we consider problems that can and cannot be solved, and develop a rigorous method of classifying how difficult certain problems are to compute. While the course emphasis is on theory, there are many applications of the topics discussed. Regular expressions, compilers, CPU job scheduling, and many other real-world problems have some underlying computational model rooted in the theory of computation. Announcements Homework 11 is posted. Problem solutions are due Friday 4 May by 5pm.

Authors: Harry Lewis Christos H. Papadimitriou, University of California-Berkeley This is not a textbook. This is only a solution manual to supplement your learning.

In this course, the students will develop knowledge of a variety of mathematical tools for the design and analysis of algorithms and computer programs. They will learn about basic models of computation based on finite automata, grammars and Turing machines. Specific skills as outcomes of the course include: 1 A fluency in the elements of automata theory, regular grammars and regular expressions, and their uses; 2 An understanding of the relationship between formal models of computation and modern computers; 3 An understanding of the relevance of theory of computation to the computer science curriculum 4 An ability to apply knowledge of computing and mathematics appropriate to the discipline 5 An ability to apply mathematical foundations, algorithmic principles, and computer science theory in the modeling and design of computer-based systems in a way that demonstrates comprehension of the tradeoffs involved in design choices.

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Topic сomments

(13)

Ramiro V.

13.04.2021

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Cris M.

14.04.2021

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Robert B.

15.04.2021

Just amazing course.

Daniel A.

15.04.2021

He explains the course and the assignments very well.

Kathleen R.

15.04.2021

The exercises were awesome!

Shinya A.

18.04.2021

Hard work and worth it! Grateful for the opportunity.

Brian C.

18.04.2021

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18.04.2021

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19.04.2021

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21.04.2021

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21.04.2021

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22.04.2021

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22.04.2021

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