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Analysis of algorithms, major paradigms of algorithm design including recursive algorithms, divide-and-conquer algorithms, dynamic programming, greedy algorithms, and graph algorithms. Formal models of computation including finite automata and Turing machines.
CS/ECE 374 covers fundamental tools and techniques from theoretical computer science, including design and analysis of algorithms, formal languages and automata, computability, and complexity.
There are two independent sections of CS/ECE 374 this semester. This is the web site for Section A (formally: lecture section AL1 and lab sections AY*). Section B, taught by Nickvash Kani, has a separate site on Canvas .
P and NP •A decision problem is a problem with a true/false answer. (yes/no, etc.) •P is the set of decision problems with a polynomial-time solver. •NP is the set of decision problems with a polynomial-time nondeterministic solver. •Alternatively, NP is the set of decision problems with a polynomial-time certifier for "true" answers, given a polynomial-size certificate.
CS/ECE 374 A] Spring 2018 Gradescopename: Final Exam Z Z Z Problem 3 Fixthealphabet = f0,1g. Recallthatarun inastringw 2 isamaximalnon-emptysubstringin whichallsymbolsareequal. Forexample,thestring000001000111111101 consistsofexactlysix runs:00000100011111110= 00000•1•000•1111111•0•1.
CS/ECE 374, Spring 2019 Administrivia, Introduction Lecture 1 ... Available online for free! 4 Algorithm Design by Kleinberg & Tardos 3 Lecture notes/slides/pointers: ... Har-Peled, Hassanieh (UIUC) CS374 11 Spring 201911/26. Homework 1 1 HW 1 is posted on the class website. Quiz 0 available on Moodle. 2 HW 1 due Wednesday, , 2019 at 10am on ...
5 Σεπ 2019 · The exam covers all material covered in Homeworks 0, 1, 2, and 3: Induction, regular languages, regular expressions, DFAs, NFAs, product and subset constructions, fooling sets, regular language transformations, and context-free grammars.
