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Summer Courses 2020

AAE 335 Introduction to Data Analysis Using Spreadsheets

Instructor: Jordan Van Rijn
Open to: Undergraduate and Graduate Students
Meets: Online, July 13 – August 16

With the rise in the collection and use of data in all parts of the economy and our lives, the ability use spreadsheet software—such as Microsoft Excel—is critical for performing numerous important tasks in business, finance, economics, statistics, and related fields. This course will let you put spreadsheet skills on your resume, and be ready to use them in a wide range of jobs.

This course provides an introduction to fundamentals and applications of spreadsheets software, including data management and manipulation, formulas and calculations, charts and graphics, tables, functions, descriptive statistics, and basic data analysis.

350 World Hunger and Malnutrition

Instructor: Kyle Stiegert
Cross-listed: Nutritional Sciences 350, Agronomy 350, CALS Interdisciplinary 350
Open to: Undergraduate and Graduate Students
Meets: Online, May 20 – June 18

With hundreds of millions of malnourished people worldwide, understanding the root causes of hunger is more important than ever. What policies can help reduce worldwide hunger? What is the relationship between poverty and nutrition?

This course provides a broad and coherent treatment of human malnutrition. We explore the biology and physiology of human nutrition and examine the socio-economic factors that affect food consumption nutrition. Learn to think creatively about how to address the world’s hunger problem through policy.

        Counts for Biological Sciences breadth.

AAE 474 Economic Problems of Developing Areas

Instructor: Paul Dower
Cross-listed: Economics 474
Open to: Undergraduate and Graduate Students
Meets: Online, June 22 – August 2

One out of ten people on this planet lives on less than $1 per day and a quarter of the world lives on less than $3 per day. This course will explore the causes of global poverty, and discuss policies used to address it. We will learn about the measurement of poverty and inequality, the role of health and education in poverty, problems in credit and insurance markets, the causes and effects of migration, corruption, and institutions. We will also discuss current development programs intended to address these issues.

This course is a required class for the Development Economics Certificate.

AAE 722 Machine Learning in Applied Economic Analysis

Instructor: Sheldon Du
Open to: Graduate students ONLY
Meets: M – Th 9:30 am – 12 pm, July 6 – August 16

How does your phone know what you’re going to text before you type it? Machine learning! It is also used in voice recognition, predictive text, online shopping recommendations and facial recognition. As data collection becomes the underpinning of so much of the global economy, this course will teach you methods to make that data useful.

The course will focus on the basic methods, implementation, and applications of machine learning for understanding contemporary economic issues using big datasets. Lectures will be combined with hands-on lab work to give you the tools to be able to put what you learn into practice immediately.