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Feng Chen

  • Associate Professor of Clinical Data Sciences & Operations

Feng Chen is an operations management scholar. Her research interests include process analysis, supply chain management and supply chain analytics, and experimental study of behavioral impact on operations decision making. She teaches courses of operations management and data analysis for decision making. Feng received her Ph.D. in business administration from University of Southern California.

Feng Chen
Press Inquiries: COMMUNICATIONS@MARSHALL.USC.EDU

Departments

Data Sciences + Operations

NEWS + EVENTS

COURSES

Fall 2025
  • GSBA-534
    Operations Management
    Formulation, modeling, analysis, and optimization of business decision problems; survey of concepts and techniques necessary to manage the operations function of the firm. Recommended preparation: GSBA 506b or GSBA 524 or GSBA 516 or GSBA 545. (Duplicates Credit in GSBA 504ab)
  • DSO-528
    Blended Data Business Analytics for Efficient Decisions
    Build Analytical Models for Classification, Clustering and Association Problems. Leverage third party "Big Data" for enriching and monetizing data. Develop data mining and business analysis.
Spring 2025
  • BUAD-312
    Statistics and Data Science for Business
    Statistical methods for exploration, visualization, and analysis of large business datasets; simulation; hypothesis testing, multiple regression modeling, and confidence intervals. Coding taught through data applications. (Faster-paced version of BUAD-310g. Duplicates credit in BUAD 310g and the former ITP 251.)
  • BUAD-425
    Introduction to Business Analytics
    Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.
Fall 2024
  • GSBA-504A
    Operations Management
    Formulation, modeling, analysis, and optimization of business decision problems; survey of concepts and techniques necessary to manage the operations function of a firm. Duplicates credit in GSBA-534 and the former GSBA-504.
  • GSBA-534
    Operations Management
    Formulation, modeling, analysis, and optimization of business decision problems; survey of concepts and techniques necessary to manage the operations function of the firm. Recommended preparation: GSBA 506b or GSBA 524 or GSBA 516 or GSBA 545. (Duplicates Credit in GSBA 504ab)
  • DSO-528
    Blended Data Business Analytics for Efficient Decisions
    Build Analytical Models for Classification, Clustering and Association Problems. Leverage third party "Big Data" for enriching and monetizing data. Develop data mining and business analysis.
Spring 2024
  • BUAD-312
    Statistics and Data Science for Business
    Statistical methods for exploration, visualization, and analysis of large business datasets; simulation; hypothesis testing, multiple regression modeling, and confidence intervals. Coding taught through data applications. (Faster-paced version of BUAD-310g. Duplicates credit in BUAD 310g and the former ITP 251.)
  • BUAD-425
    Introduction to Business Analytics
    Leveraging large corporate datasets; slice and dice data; dash boards; data mining and statistical tools; neural network; multiple and logistic regression; decision tree; gain inference and decision making; clustering.
Fall 2023
  • BUAD-312
    Statistics and Data Science for Business
    Statistical methods for exploration, visualization, and analysis of large business datasets; simulation; hypothesis testing, multiple regression modeling, and confidence intervals. Coding taught through data applications. (Faster-paced version of BUAD-310g. Duplicates credit in BUAD 310g and the former ITP 251.)