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25 Ιαν 2022 · 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.
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.
if you want to do well in 374 then stop freaking out about it, and just use the resources the class gives you during the semester. there is a ton of review built in to the class (labs + discussions) and with a reasonably good homework group and a decent amount of focus you’ll be just fine.
Formal models of computation including finite automata and Turing machines. Limitations of computation arising from fundamental notions of algorithm and from complexity-theoretic constraints. Reductions, undecidability and NP-completeness. Course Information: Same as ECE 374. Prerequisite: One of CS 173, MATH 213; CS 225.
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.
18 Σεπ 2020 · CS/ECE 374: Lecture and Lab Schedule Zoom link : Recording of live lectures: Mediaspace , Classtranscribe : Prerec lectures The calendar below lists the topics of each lecture and lab section for the semester, with links to relevant lecture notes, slides, lecture videos, and lab handouts.
Focuses on more elementary material (taught in CS 225), with more emphasis on implementation and application than open-ended design and analysis. A crippled electronic version is available through the University library (if you have login credentials).
