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Introduces paradigms for designing algorithms and fundamental limitations to what algorithms can do. Covers basic algorithm design paradigms of greedy algorithms, divide and conquer algorithms and dynamic programming, as well as a selection of advanced algorithmic topics, such as randomized algorithms, algorithms for distributed systems and basic algorithms for machine learning. Topics related to limitations of algorithms include NP-completeness and undecidability. Coverage includes analyzing algorithms via proofs and programming assignments to implement algorithms.
Prerequisites: MTH 142 and CSE 250 and (CSE 191 or MTH 311). Computer Science, Computer Engineering, or Bioinformatics majors only.
Course Area: Computer Science
Level: Upper Level Undergraduate
Dates: 05-30-2023 - 07-07-2023
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- Instructor: Dennis Paul Murphy
- Local Course ID: 23SU_BUF_CSE331_LECI
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- Contact Registrar
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- Transfer Credits
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- Locate Course Materials
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