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Introduction to Graduate Algorithms

Introduction to Graduate Algorithms

Offered at Georgia Tech as CS 8803 GA

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Course Highlights

  • 6 Modules & Sub-modules

  • Taught by Industry Pros

  • Student Support Community

  • Rich Learning Content

  • Self-Paced Learning

Validity: 90 Days

Mode of learning: Online self study

Course Overview

What are the course deliverables ?
  • Enhance your skill set and boost your hirability through innovative, independent learning.

  • Taught by industry professionals

More about this course
  • This is a graduate-level course in the design and analysis of algorithms. We study techniques for the design of algorithms (such as dynamic programming) and algorithms for fundamental problems (such as fast Fourier transform or FFT).

  • In addition, we study computational intractability, specifically, the theory of NP-completeness. The main topics covered in the course include: dynamic programming; divide and conquer, including FFT; randomized algorithms, including RSA cryptosystem and hashing using Bloom filters; graph algorithms; max-flow algorithms; linear programming; and NP-completeness.

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