This course involves reading three academic books (not textbooks) written by renown economists: Economics for the Common Good (Jean Tirole), Story of the World in Seven Cheap Things (Raj Patel and Jason W. Moore), and People, Power and Profits - Progressive Capitalism for an Age of Discontent (Joseph Stiglitz). The books are very recent. They explore global issues of today and criticize past and current economic policies and social institutions. They suggest what policy changes could bring about better societal outcomes. Students and instructor bring many relevant readings to the class to support, challenge, or offer new perspectives than those suggested in the assigned books.
10 O*NET task matches
Batch:
Economists3.5/5
56%ok
Teach theories, principles, and methods of economics.
Environmental Economists3.5/5
49%ok
Teach courses in environmental economics.
Economics Teachers, Postsecond4.5/5
48%ok
Prepare and deliver lectures to undergraduate or graduate students on topics such as econometrics, price theory, and macroeconomics.
Economists4.0/5
45%ok
Explain economic impact of policies to the public.
Economists3.9/5
44%ok
Formulate recommendations, policies, or plans to solve economic problems or to interpret markets.
History Teachers, Postsecondar4.7/5
39%ok
Prepare and deliver lectures to undergraduate or graduate students on topics such as ancient history, postwar civilizations, and the history of third-world countries.
Political Science Teachers, Po4.6/5
39%ok
Prepare and deliver lectures to undergraduate or graduate students on topics such as classical political thought, international relations, and democracy and citizenship.
Political Scientists3.0/5
39%ok
Forecast political, economic, and social trends.
Logisticians4.0/5
38%ok
Redesign the movement of goods to maximize value and minimize costs.
Environmental Economists4.2/5
38%ok
Collect and analyze data to compare the environmental implications of economic policy or practice alternatives.
Source:
Course learning outcomes from
EWU's official Course Inventory Management (CIM) system.
O*NET task matches are computed by comparing each learning outcome
statement against every O*NET task statement using sentence-embedding
similarity; faculty review confirms which matches count as
preparation evidence.
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