ACE 592

Spring 2024 All Classes

All Classes

Special Topics

SHOW FINAL EXAM SCHEDULE

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 2024
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
43626	Laboratory Lecture	AL1 AL1	ARRANGED 8:00PM -9:20PM	n.a. W	Location Pending Location Pending	Goldsmith, P Michelson, H Goldsmith, P Michelson, H	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Supply Chain Mngmt Section Info: Traceability, transparency, and fidelity are essential to sustainable agri-food supply chains. This course integrates blockchain into the study of agri-food supply chain management through 3 study modules. Module 1: Students gain an understanding of the economic theory underlying supply chain management and governance in order to provide a foundation for future scholarly or professional work in the field. Module 2: Students use the theoretical preparation to better understand sustainable supply chain management in emerging markets. Module 3: Students apply these newfound understandings to the field of blockchain and its application to agri-food supply chains.
58352	Conference	GIE	ARRANGED	n.a.	Location Pending	Paulson, N	Part of Term: 1 Date Range: 01/16/24-05/01/24 Special Approval: Instructor Approval Required Section Info: Graduate Internship Experience
63796	Online	GPD	3:00PM -4:40PM	W	n.a.	Paulson, N	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 2 hours Section Title: Graduate Professional Developm Section Info: This course provides a preview of professional development and career opportunities outside of academia in food and agribusiness, agricultural markets and finance, sustainability policy and management, trade and development, and related applied economics fields. Through an in-depth dialogue with industry professionals and professional development activities, masters students will develop an understanding of the skill sets needed to succeed in the different career paths discussed. Restriction(s): Restricted to Graduate - Urbana-Champaign.
45250	Lecture-Discussion	SAE	4:00PM -5:20PM	TR	320 Mumford Hall	Hutchins, J Sachdeva, P	Part of Term: 1 Date Range: 01/16/24-05/01/24 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.