Zhiyi Wang is an Assistant Professor of Information Systems in the division of Organizational Leadership and Information Analytics, Leeds School of Business, University of Colorado Boulder. He received his PhD in Information Systems and Analytics from National University of Singapore. His research focuses on open innovation communities, open source software development, online crowdfunding, and economics of information systems. His work has appeared in leading journals including Information Systems Research, Production and Operations Management, Journal of the Association for Information Systems, and Entrepreneurship Theory and Practice.
keywords
Online Community, Digital Innovation, Business Analytics, Econometrics, Artificial Intelligence
BAIM 4120 - Business Analytics
Primary Instructor
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Spring 2026
Teaches cutting-edge tools and approaches to the analysis of data, including "big data" for effective decision-making. The class creates data connoisseurs through hands-on exposure to exploratory and predictive analytics. Application areas covered include Web Marketing, the Internet of Things, Biometric Monitoring, as well as data integration and analysis for online marketing, human resources and operations. Formerly BAIM 3200. Degree credit not granted for this course and MGMT 3201 or MKTG 3201.
MKTG 3201 - Business Analytics
Primary Instructor
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Spring 2026
Teaches cutting-edge tools and approaches to the analysis of data, including "big data" for effective decision-making. Creates data connoisseurs through hands-on exposure to exploratory and predictive analytics. Application areas covered include Web Marketing, the Internet of Things, Biometric Monitoring, as well as data integration and analysis for online marketing, human resources and operations. Same as MGMT 3201. Degree credit not granted for this course and BAIM 4120.
MSBX 5420 - Unstructured and Distributed Data Modeling and Analysis
Primary Instructor
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Spring 2021 / Spring 2022 / Spring 2023 / Spring 2024 / Summer 2024 / Spring 2025 / Summer 2025 / Spring 2026
Moves the student beyond structured data and sources into business scenarios where data is semi-structured to unstructured such as those from social and web applications. Specific topics include introduction to SQL-on-Hadoop, NoSQL and related distributed processing technologies. Students will learn practical application and mechanisms for getting this sort of data ready for analytics.
