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Faculty Profile

Xiaolu Wang

Assistant Professor of International Business & Management (2016)

Contact Information

Althouse Hall Room 210


  • B.S., Tsinghua University, Beijing, China, 2004
  • M.A., Columbia University, 2009
  • M. Phil., 2010, Ph.D., 2015

2022-2023 Academic Year

Fall 2022

INBM 100 Fundamentals of Business
This course features an introductory focus on a wide range of business subjects including the following: business in a global environment; forms of business ownership including small businesses, partnerships, multinational and domestic corporations, joint ventures, and franchises; management decision making; ethics; marketing; accounting; management information systems; human resources; finance; business law; taxation; uses of the internet in business; and how all of the above are integrated into running a successful business. You will learn how a company gets ideas, develops products, raises money, makes its products, sells them and accounts for the money earned and spent. This course will not fulfill a distribution requirement.

INBM 300 Big Data in Business
The rise of Big Data has revolutionized our ways of perceiving and understanding the world across micro and macro levels (from decoding the human genome to predicting the result of the U.S. presidential election based on Facebook data). This is an introductory course designed to familiarize students with both the major quantitative and qualitative aspects of big data, with a particular focus on applications in the real business world—for example, tracing the formation of trust among strangers in the “sharing economies.” Quantitatively, the course introduces the essential skills of managing, analyzing, and presenting data, using mainstream software packages and programming languages such as R and Python. Qualitatively, it covers the basic ideas of building the software and hardware infrastructure for a big data business system, explores various questions and problems (in business and other areas) that can be creatively addressed utilizing big data, and scrutinizes the corresponding cognitive, sociological, and ethical implications.