INFO 490

Summer 2014 All Classes

All Classes

Special Topics

Credit: 1 TO 4 hours.

Topics of current interest.

May be repeated in separate terms. Prerequisite: Consent of instructor. Other prerequisites as specified for each topic offering. See Class Schedule.

My Favorites

My Schedule

Section Status updates every 10 minutes.

INFO 490 class schedule data for summer 2014
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	37802	Online	RB	ARRANGED	n.a.	n.a.	Brunner, R	Part of Term: S2 Date Range: 06/16/14-08/07/14 Credit: 3 hours Section Title: Introduction to Data Science Section Info: INFO 490: Introduction to Data Science will introduce students to the tools and technologies that are necessary to work with large data. Upon completion of this course, students will be expected to understand the basic concepts of data science from data acquisition through data understanding. Students will learn how to work at a Unix prompt and how to use the Python programming language to process, visualize, persist, model, and mine large data sets. Students MUST have access to a computer on which they can install software (in particular the virtual machine software).