• No products in the cart.

(

ratings

)

students

Created by:

Profile Photo

Last updated:

December 8, 2022

Duration:

Unlimited Duration

FREE

This course includes:

Unlimited Duration

Badge on Completion

Certificate of completion

Unlimited Duration

Description

This course introduces the Dynamic Distributed Dimensional Data Model (D4M), a breakthrough in computer programming that combines graph theory, linear algebra, and databases to address problems associated with Big Data.

Search, social media, ad placement, mapping, tracking, spam filtering, fraud detection, wireless communication, drug discovery, and bioinformatics all attempt to find items of interest in vast quantities of data. This course teaches a signal processing approach to these problems by combining linear algebraic graph algorithms, group theory, and database design. This approach has been implemented in software. The class will begin with a number of practical problems, introduce the appropriate theory, and then apply the theory to these problems. Students will apply these ideas in the final project of their choosing. The course will contain a number of smaller assignments which will prepare the students with appropriate software infrastructure for completing their final projects

Course Curriculum

  • Introduction Unlimited
  • Using Associate Arrays Unlimited
  • Group Theory Unlimited
  • Entity Analysis in Unstructured Data Unlimited
  • Analysis of Structured Data Unlimited
  • Perfect Power Law Graphs Unlimited
  • Bio Sequence Cross Correlation Unlimited
  • Kronecker Graphs, Data Generation, and Performance Unlimited

About the instructor

0

Instructor Rating

0

Reviews

1520

Courses

1795

Students

Profile Photo
Massachusetts Institute of Technology
Copyright © 2022 OpenCoursa, All Rights Reserved