Opportunity

Mathematics of Big Data

IAP 2018

Sponsored by: Mathematics

Jeremy Kepner, Fellow & Head MIT Supercomputing Center

  • Enrollment: Limited to 20 participants. Advance sign-up required. Sign-up by 12/01
  • Attendance: Participants must attend all sessions
  • Prereq: Linear Algebra

“Big Data” describes a new era in the digital age where the volume, velocity, and variety of data created across a wide range of fields (e.g., internet search, healthcare, finance, social media, defense, …)  is increasing at a rate well beyond our ability to analyze the data.  Many technologies (e.g., spreadsheets, databases, graphs, linear algebra, …) have been developed to address these challenges.  The common theme amongst these technologies is the need to store and operate on data as whole collections instead of as individual data elements.  This class describes the common mathematical foundation of these data collections (associative arrays) that apply across a wide range of applications and technologies.  Associative arrays unify and simplify Big Data leading to rapid solutions to Big Data volume, velocity, and variety problems.  Understanding these mathematical foundations allows the student to see past the differences that lie on the surface of Big Data applications and technologies and leverage their core mathematical similarities to solve the hardest Big Data challenges.

Details

  • Manipulation Big Data | Jan/09 Tue 11:00AM-01:00PM | 300 Tech Sq Floor 2 | Chapters 1 and 2 of “Mathematics of Big Data” text
  • D4M: A New Tool for Big Data | Jan/16 Tue 11:00AM-01:00PM
    300 Tech Sq Floor 2 | Chapter 3 and Chapter 4 of “Mathematics of Big Data” text. | Introduction to D4M (http://d4m.mit.edu)
  • Four Perspectives on Data | Jan/23 Tue 11:00AM-01:00PM
    300 Tech Sq Floor 2 | Chapter 5 and 6 of “Mathematics of Big Data” text
  • Mathematical Foundations of Big Data | Jan/30 Tue 11:00AM-01:00PM | 300 Tech Sq Floor 2 | Chapters 7 and 8 of “Mathematics of Big Data”

Contact: Jeremy Kepner, 2nd Floor, 300 Tech Sq

For more information and to sign up, visit the IAP website. Sign-up by 12/01/17.