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Detailed Course Information

 

Fall 2017
Oct 19, 2017
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Information Select the desired Level or Schedule Type to find available classes for the course.

MATH 511 - Advanced Math & Stat Computing
The topics covered are all concerned with analytics and computation involving data sets which may be very large. The term analytics will refer to modeling and computation within specific mathematical frameworks such as large matrices and other definite file types, and tools that enable measuring, parsing, understanding and visualizing the data.
The course goals are to learn about advanced computational tools and methods utilized in the data science field. We will learn about how to use and administer cloud computing resources, useful utilities in the linux environment, and the AWS suite of cloud services. Among the AWS services we will focus on general use services (e.g. EC2, S3), but also the Hadoop distributed computing ecosystem (as implemented in AWS EMR), the map reduce framework, and the application of these concepts to working with and understanding large datasets. Prospective students should study the prerequisites listed below that include knowledge of the Linux command line language and some use of Python. This is a hands-on course.

Textbooks:

Required
Data Analytics with Hadoop - Ben Bengfort, Jenny Kim (Early Edition available, publishing date May 2016)
Mining of Massive Datasets - Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman (available online)

Optional
Field Guide to Hadoop - Kevin Sitto, Marshall Presser

Prerequisites: Math 510 Mathematical and Statistical Computing, or equivalent.
- Comfortable with the Linux command line: students should work through The Command Line Crash Course http://cli.learncodethehardway.org/book/
- Familiarity with SQL, R, and/or Python: students must be able to write a script to read in, write, and manipulate data
- Familiarity with data mining techniques
- Math skills: probability, statistics, matrices




3.000 Credit hours
3.000 Lecture hours

Levels: MN or MC Graduate
Schedule Types: Lecture

Mathematics Department

Restrictions:
Must be enrolled in one of the following Programs:     
      MS in Math and Statistics
Must be enrolled in one of the following Levels:     
      MN or MC Graduate
Must be enrolled in one of the following Fields of Study (Major, Minor, Concentration, or Certificate):
      Mathematics and Statistics

Prerequisites:
MATH 510

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