The Math Refresher Bootcamp for incoming MS Analytics Students

For the last few weeks I was fortunate to have been able to lead a Math Refresher workshop at the Georgia Institute of Technology with Dr. Rebecca George for incoming Graduate students in the MS Analytics Program. The workshop was meant to give the incoming students a quick overview of some of the pre-requisite math content they need for their program.

This was the second year I was able to give the workshop. Student feedback we collected last year from the workshop was incorporated this year to improve the sessions. One of the largest changes we made was to spread the learning out over several weeks instead of trying to cram everything in one week. Some of the topics we cover are difficult to learn, especially if you haven’t seen them in a while.

In our workshop sessions we covered linear algebra, calculus (differential to multivariable), probability and statistics in several sessions spread out over four weeks. The curriculum we developed and sourced is on a Canvas website that is open to the public:

https://gatech.instructure.com/courses/245270

Linear Algebra Lecture Notes

Many of my linear algebra students read an excellent open textbook, Interactive Linear Algebra. But they will notice that it does not cover some of the topics that are covered in the linear algebra course that I often teach, MATH 1554. For example, ILA does not cover:

  • Partitioned Matrices
  • The LU Decomposition
  • Leontif Input-Output Models
  • Computer Graphics

I just finished drafting some lecture notes for those topics. I think they only cover the content that my 1554 students need to know. Let me know if you catch any typos or have any suggestions for improving the notes. They can be downloaded here: Math_1554_Lecture_Notes