Professor(s) |
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Objetives |
This course introduces methods of data science that are useful for economists. The course will cover machine learning and artificial intelligence techniques with a focus on their applications in economics. Topics include foundational AI/ML concepts, predictive modeling, natural language processing, data retrieval, web scraping, and the ethical implications of AI in economic contexts. Students will learn to apply these tools to economic data, exploring issues such as causal inference, forecasting, and economic policy analysis. |
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Module / Term |
Module II: Elective Courses (54 ECTS) / Term 5 (18 ECTS) |
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Course details |
UIMP code 102685 / 6 ECTS / Elective |
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Hours |
Wednesday (15:00 – 18:30), and Thursday (09:30 – 11:00) |
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Evaluation Criteria |
Exercises, presentations and exams |
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Course page |
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Syllabus |
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