ACE 592

Spring 2022 All Classes

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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 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
45458	Online Lab	AB1	8:00PM -9:20PM	W	n.a.	Goldsmith, P Michelson, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Section Title: Supply Chain Mngmt
51831	Online Lab	AB2	8:00AM -9:20AM	W	n.a.	Goldsmith, P Michelson, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Section Title: Supply Chain Mngmt Section Info: Intended to offer practical experience with modern computerized methods in finance, course will meet concurrently with lab portions of ACE 542 and cover theory of financial decision making and topics related to characterization of real financial problems in a decision making setting. Will emphasize methods dependent on data and numeric methods for characterizing complex functional relationships. Students should have strong familiarity with Excel and at least one statistical/econometrics package. Meets with ACE 542; students may not register for both ACE 542 and ACE 592-FDM. Restriction(s): Restricted to Graduate - Urbana-Champaign.
43626	Online	AL1	ARRANGED	n.a.	n.a.	Goldsmith, P Michelson, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 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. Students must register for the Lecture (asynchronous) and a lab (synchronous).
63995	Lecture-Discussion	EE	9:30AM -10:50AM	TR	Bevier Hall	Larson, E	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Energy Economics Section Info: This course uses economics tools to understand and evaluate public policy issues surrounding energy markets and the environmental markets to which they are closely tied. Will focus on the economic drivers of energy production and use, transportation and storage of energy commodities, regulation of energy markets, and policies designed to mitigate the impact of energy production and consumption on the environment. Prerequisite: ECON 302. Restriction(s): Restricted to Graduate - Urbana-Champaign.
58352	Conference	GIE	ARRANGED	n.a.	Location Pending	Paulson, N	Part of Term: 1 Date Range: 01/18/22-05/04/22 Special Approval: Instructor Approval Required Credit: 2 hours Section Info: Graduate Internship Experience
63796	Online	GPD	3:00PM -4:40PM	W	n.a.	Elmore, A Mosiman, K	Part of Term: 1 Date Range: 01/18/22-05/04/22 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	Mumford Hall	Hutchins, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 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.
59863	Lecture-Discussion	TE	2:00PM -3:50PM	R	Mumford Hall	Larson, E	Part of Term: 1 Date Range: 01/18/22-05/04/22 Section Title: Tutorial Econometrics Restriction(s): Restricted to Graduate - Urbana-Champaign.