Class Information
Instructor: Petko Bogdanov
Time and Location: Mondays and Wednesdays 4:15PM - 5:35PM, SL G03 (Science Library, Ground Floor, Room 3)
Office Hours: Monday 12:00p-1:00p, Wednesday 1:00p-2:00p or by appointment, Computer Science 095I
Prerequisites: None
Description
This course will offer an introduction to the key terms, concepts and methods in data analysis, with an
emphasis on developing critical analytical skills through hands-on exercises of actual data analysis tasks. In addition,
you will learn and practice basic programming skills to use software tools in data analysis. Most importantly, this
course aims to help you look at the data and their analysis from new points of view, and nurture a habit of finding
relevant patterns in large data sets with appropriate analysis steps. This ability becomes particularly important when
you are facing with large amounts of data from your future field and career, be it natural or social science, engineering
or business.
Text
We will use the following textbooks for the readings of this course, though other reading materials will be distributed
on Black Board Learning Systems occasionally.
Joel H. Levine and Thomas B. Roos, Introduction to Data Analysis: the Rules of Evidence, Volume 1-2.The whole book can be read or downloaded from Here
Schedule
Petko Bogdanov