ACE 592

Spring 2025 All Classes

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Special Topics

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Credit: 0 TO 8 hours.

Group instruction on a special topic under the direction of one or more members of the faculty.

Approved for both letter and S/U grading. May be repeated in a semester to a maximum of 8 hours. May be repeated to a maximum of 24 total hours, if topics vary.

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ACE 592 class schedule data for spring 2025
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	58352	Conference	GIE	ARRANGED	n.a.	Location Pending	Paulson, N	Part of Term: 1 Date Range: 01/21/25-05/07/25 Special Approval: Instructor Approval Required Section Info: Graduate Internship Experience
	45250	Lecture-Discussion	SAE	4:00PM -5:20PM	TR	316N Mumford Hall	Hutchins, J	Part of Term: 1 Date Range: 01/21/25-05/07/25 Credit: 4 hours Section Title: Data Science for Applied Econo Section Info: This course will teach data science tools and workflow for analysis of questions in applied economics. Using the python programming language and git version control, we will cover obtaining data via scraping and APIs, processing and cleaning data using python, and analyzing data via data visualization and basic machine learning techniques. The course will broadly cover the basics of text, spatial, and numeric data with an emphasis on their uses in analyzing economic questions and conducting research. Restriction(s): Restricted to Graduate - Urbana-Champaign.