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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.
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English
English [CC]
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
- Understand what is Javascript in it's truest form.
- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
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 content
- 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
Instructor
