IS 597 PYO - Adv Topics Data An & Data Sci - Python Standard Library
Variety of newly developed and advanced topics courses within the fields of Data Analytics & Data Science, intended to augment the existing Information Sciences curricula. Course Information: 2 to 4 graduate hours. No professional credit. Approved for Letter and S/U grading. May be repeated in the same or separate semesters to a maximum of 16 hours, if topics vary.
Course is asynchronous, more information will be provided by the instructor, Elizabeth Wickes prior to the start of class. Pre- and Co-requisites: This class is designed for students who have previous computer science/engineering degrees or related coursework, and have never worked within Python. Students are not allowed to enroll in IS 430 - Foundations in Information Processing before, during, or after completing this section. Students are not allowed to have taken IS 597 PR - Progr Analytics & Data Process before this class, but may be co-enrolled or take that course later. This is a short course introduction to the Python programming language for students with prior intensive programming experience and/or prior coursework on a programming language. This class will introduce students to the fundamental patterns within data-oriented Python programs, core differences between Python and other general purpose programming languages. This is an intensive course that presumes student
Option 1Number of Required Visit(s): 0
Course Level: Graduate
Term(s): Fall , Summer