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Georgia Institute of Technology - Introduction to Graduate Algorithms 

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Introduction to Graduate Algorithms
 at 
UDACITY 
Overview

Offered at Georgia Tech as CS 8803 GA

Duration

3 months

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Difficulty level

Intermediate

Credential

Certificate

Introduction to Graduate Algorithms
 at 
UDACITY 
Highlights

  • Taught by Industry Pros
  • Student Support Community
  • Rich Learning Content
  • Self-Paced Learning
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Details Icon

Introduction to Graduate Algorithms
 at 
UDACITY 
Course details

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.

Introduction to Graduate Algorithms
 at 
UDACITY 
Curriculum

LESSON 1: Dynamic Programming

LESSON 2: Randomized Algorithms

LESSON 3: Divide and Conquer

LESSON 4: Graph Algorithms

LESSON 5: Max-Flow Problems

LESSON 6: Linear Programming

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Introduction to Graduate Algorithms
 at 
UDACITY 

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