2 Data Science Courses Offered by Robert Brunner in Fall 2015

Prof. Robert Brunner will offer the following two courses on Data Science this coming fall: 

Course 1: ASTR 496 RB/INFO 490 RB, CRN 65303, online.

Title: Foundations of Data Science Regular grading, 3 credit hours.

This course will introduce the basic foundations of data science, including github, the Unix command line, data formats, SQL and relational databases, basic visualizations, and descriptive Statistics. The bulk of the course will focus on introducing the Python programming language via IPython notebooks, including a through coverage of standard data science python libraries. A second, follow-on course will be offered in the Spring 2016 semester that builds on this course to introduce more advanced topics in statistical and machine learning and cloud computing.

Course 2: ASTR 596 RB, CRN 65724, meets on Thursdays from 9:00 to 9:50 in Astronomy 134.

Title: Practical Machine Learning. Satisfactory/Unsatisfactory grading, 1 credit hour.

This course is a journal club type course, where students will be expected to present IPython notebooks introducing a particular data mining algorithm along with one or more demonstrations on real data. Emphasis will be on understanding the practical application of the algorithms.