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A A E 701

APPLIED ECONOMIC DATA ANALYSIS

4 credits.

Application of data science methods to economic analyses. Integration of data acquisition, cleaning, analysis, and interpretation in managerial contexts. Emphasis on applications in the agri-food supply chain.

Prerequisites & course information

Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Learning Outcomes: 1. Manipulate, organize, and visualize quantitative economic data using computer software Audience: Graduate 2. Conduct statistical analyses and estimate basic linear regression models of economic data Audience: Graduate 3. Correctly report and interpret results from statistical analyses of economic data in the context of informing managerial decisions Audience: Graduate 4. Set up and solve linear and non-linear programming problems that inform economic decision-making using computer software Audience: Graduate 5. Integrate uncertainty into the analysis of economic decisions and articulate how uncertainty influences managerial decisionmaking Audience: Graduate 6. Effectively communicate verbally, visually, and in writing the process and results of data analysis for managerial decisionmaking Audience: Graduate Learning Outcomes: 1. Manipulate, organize, and visualize quantitative economic data using computer software Audience: Graduate 2. Conduct statistical analyses and estimate basic linear regression models of economic data Audience: Graduate 3. Correctly report and interpret results from statistical analyses of economic data in the context of informing managerial decisions Audience: Graduate 4. Set up and solve linear and non-linear programming problems that inform economic decision-making using computer software Audience: Graduate 5. Integrate uncertainty into the analysis of economic decisions and articulate how uncertainty influences managerial decisionmaking Audience: Graduate 6. Effectively communicate verbally, visually, and in writing the process and results of data analysis for managerial decisionmaking Audience: Graduate

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