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    • A Novel Course on a New Technology
    • Lectures as Performance
    • Homework Assignments that Spotlight Application
    • Valuing Concept Transition
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Course Info

Instructors:
  • Dr. Jeremy Kepner
  • Dr. Vijay Gadepally
Course Number:
  • RES.LL-005
Departments:
  • Supplemental Resources
As Taught In: January IAP 2020
Level: Undergraduate

Topics

  • Business
    Information Technology
  • Engineering
    Computer Science
    Data Mining

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Course Info
Mathematics of Big Data and Machine Learning
  • Syllabus

  • Instructor Insights

    • A Novel Course on a New Technology
    • Lectures as Performance
    • Homework Assignments that Spotlight Application
    • Valuing Concept Transition
  • Lecture Notes

  • Class Videos

Lecture Notes

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Supplemental course notes on mathematics of Big Data and AI provided in January 2020:

Artificial Intelligence and Machine Learning (PDF - 3.9MB)

Cyber Network Data Processing (PDF - 1MB); AI Data Architecture (PDF - 1MB)

The following class videos were recorded as taught in Fall 2012.

SES # TOPICS / LECTURE NOTES
0 Lecture 0: Introduction (PDF - 2.2MB)
1 Lecture 1: Using Associate Arrays (PDF - 1.2MB)
2 Lecture 2: Group Theory (PDF)
3 Lecture 3: Entity Analysis in Unstructured Data (PDF - 2.2MB)
4 Lecture 4: Analysis of Structured Data (PDF)
5 Lecture 5: Perfect Power Law Graphs (PDF - 4MB)
6 Lecture 6: Bio Sequence Cross Correlation (PDF - 2MB)
7 Demo 7: Accumulo and D4M (Demo only, no lecture)
8 Lecture 8: Kronecker Graphs, Data Generation, and Performance (PDF - 2.3MB)

Course Info

Instructors:
  • Dr. Jeremy Kepner
  • Dr. Vijay Gadepally
Course Number:
  • RES.LL-005
Departments:
  • Supplemental Resources
As Taught In: January IAP 2020
Level: Undergraduate

Topics

  • Business
    Information Technology
  • Engineering
    Computer Science
    Data Mining

Learning Resource Types

theaters Lecture Videos
notes Lecture Notes
co_present Instructor Insights
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