I-Ming Chiu, Ph.D.
Associate Professor of Economics
Armitage Hall, Room 435
311 North Fifth Street
Camden, NJ 08102, USA
Phone: (856) 225-6012
E-mail: ichiu@camden.rutgers.edu
Education
- Ph.D. Economics at University of Wisconsin-Milwaukee
- M.S. Statistics and Biostatistics at Rutgers University
- M.A. Economics at University of Wisconsin-Milwaukee
- B.B.A. International Trade at Fu Jen Catholic University, Taipei, Taiwan
Research Interests
Apply Econometric methods and Data Mining/Machine Learning algorithms in the following fields:
- International Finance
- Health Economics
- Financial Economics
- Economic Development
- Cardiovascular Disease and Prevention
- Childhood Study (Can we predict depression? Using Logistic model as a classifier.)
- Research Overview, ResearchGate & Google Scholar
How to Become a Data Scientist?
An online learning platform for those who aim for a job in Data Science:
DataCamp
Skills needed to become a data scientist: towardsdatascience
Teaching Interests and Course Information:
Economics
- 50:220:102 Microeconomic Principles
- 50:220:103 Macroeconomic Principles
- 50:220:122 (50:960:185) Introduction to Data Science (fall 2022 syllabus)
- 50:220:204 Intermediate Macroeconomics
- 50:220:222 Foundations of Econometrics (Old class website) (fall 2022 syllabus)
- 50:220:301 Money and Banking
- 50:220:320 Inflation, Unemployment, and Public Policy
- 50:220:322 Econometrics (spring 2023 syllabus)
- 50:220:329 Economics of International Finance
- 50:220:331 International Economics
- 50:220:366 Applied Data Mining & Knowledge Discovery
- 50:220:366 Financial Econometrics & Data Mining
- 50:220:367 Research Method & Outcome Evaluation
- 50:220:391 Mathematical Economics
- 50:220:392 Business Cycles and Forecasting
- 50:220:422 Applied Data Mining & Machine Learning
(56:219:531) Cross-listed with MS in Data Science (spring 2024 syllabus)
Other Teaching
- 50:960:183 Elementary Applied Statistics (Statistics Program)
- 50:960:283 Introduction to Statistics I (summer 2024 syllabus)
- 50:960:284 Introduction to Statistics II
- 55:824:709 Quantitative Methods II (Ph.D. in Public Affairs–Community Development)
- Teaching Evaluation Outcome Summary