11/21/17 Webpage live, but contents still under construction!

Course Description

This course provides a broad introduction to data analysis and modeling for Engineering majors. Topics covered include:

  • How do I tell whether data follows a pattern?
  • How do I answer questions about my data? What questions should I be asking in the first place?
  • How can I visualize my data?

We are going to take a problem-focused approach to the material, looking at how to use data analysis and modeling algorithms, such as clustering, regression, hypothesis testing, etc., to solve interesting engineering problems. The course will use Python to teach how to write these analyses. There will be programming assignments (in Python) every two weeks during the first part of the course to explore concepts, followed by an end-of-semester mini-project where the students will tackle a larger analysis and modeling problem.

Prerequisites: (ENGR 132, 142, or 162, C- or better) and (MA 16600, 16200, or 17300, C- or better)

Course Details

Syllabus and discussion board links coming soon

Lecture Notes

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