ECON 491

Fall 2022 All Classes

All Classes

Topics in Econometrics

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Credit: 3 OR 4 hours.

Special topics applying advanced econometrics concepts. Students will use quantitative analysis and economic theories to answer economic questions and uncover relationships between variables across a variety of topics; instruction in statistical and computing techniques as needed.

3 undergraduate hours. 4 graduate hours. May be repeated if topics vary, repeatability for undergraduate students unlimited; for graduate students to a maximum of 8 credit hours. Prerequisite: ECON 203; ECON 302; and MATH 220/221 or Calculus I equivalent. See Class Schedule for other prerequisites as indicated depending on topic and content.

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ECON 491 class schedule data for fall 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
77796	Lecture-Discussion	A3	3:30PM -4:50PM	MW	333 Armory	Bilias, Y	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Title: Applied Machine Learning: Econ Section Info: FIELD: Econometrics. DESCRIPTION for Applied Machine Learning, Econ: Students will gain exposure to a variety of data science topics such as data wrangling and cleaning, exploratory data analysis, inference, and prediction in Python. RESTRICTION INFO: https://go.economics.illinois.edu/FallRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s). Restricted to Undergrad - Urbana-Champaign.
77797	Lecture-Discussion	A4	3:30PM -4:50PM	MW	333 Armory	Bilias, Y	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Applied Machine Learning: Econ Section Info: Graduate credit requires an additional paper or project beyond the undergraduate requirements for this course. Contact instructor for details as soon as instruction begins. See section A3 for course description. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.
77798	Lecture-Discussion	B3	11:00AM -12:20PM	MW	119 David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 3 hours Section Title: Predictive Analytics Section Info: FIELD: Econometrics. DESCRIPTION for Predictive Analytics: This course develops analytical tools to employ economic modeling and data to make better strategic decisions. The objective of this course is to foster data-driven critical-thinking skills through econometric analyses and statistical interpretation. RESTRICTION INFO: https://go.economics.illinois.edu/FallRestrictions Restriction(s): Restricted to Economics or Econometrics & Quant Econ or Computer Science & Economics major(s) or minor(s). Restricted to Undergrad - Urbana-Champaign.
77799	Lecture-Discussion	B4	11:00AM -12:20PM	MW	119 David Kinley Hall	Armendariz Buaun, R	Part of Term: 1 Date Range: 08/22/22-12/07/22 Credit: 4 hours Section Title: Predictive Analytics Section Info: Graduate credit requires an additional paper or project beyond the undergraduate requirements for this course. Contact instructor for details as soon as instruction begins. See section I3 for course description. Restriction(s): Restricted to MS:Economics:Policy Econ -UIUC.