Over the past two decades, computational methods have become an indispensable tool in social science studies. The goal of this course is to introduce undergraduate students to numerical methods and computer implementations for conducting modern quantitative research in economics and social sciences. At the conclusion of this course, students will:

be able to effectively apply quantitative solution methods and agent-based modeling and simulation to a wide range of economic, financial, and business issues;
learn Python and develop your programming skills. The learned programming skills will be readily applicable out of classroom;
distinguish themselves on the job-market — The course will be highly useful for students who plan to go to graduate school in either economics, business, finance or statistics as well as for students who plan to work in an environment that requires strong quantitative data/ computational

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