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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.
These are my notes for CS 374: Introduction to Algorithms and Models of Computation. I took the class Spring 2021, and here's the course website for the semester: https://courses.engr.illinois.edu/cs374/sp2021/. The course is divided into three sections:
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.
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 .
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.
5 Σεπ 2019 · If you need to take the conflict but you have additional conflicts both immediately before and immediately after the 374 lecture on October 1, please fill out the registration form no later than Wednesday, September 25.
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.
