Teaching

Teaching Interest

Data Analytics: E.g., Machine Learning, Artificial Intelligence, Big Data Analysis, Data Visualization, Data Mining, and Applied Regression Analysis.
Information Systems: E.g., Database Management Systems, Fintech/Blockchain, Introduction to Information Systems, Unstructured Data Management, Information Economics, Information Systems Analysis and Design, and IT Project Management.
Programming and Tools: E.g., Python, R, C++,Stata, SQL, MongoDB, SPSS, Tableau, and PowerBI.

Teaching Experience

BINS 45103: Data Analysis and Reporting (Undergraduate)

BINS 55103: Data Analysis and Reporting (Graduate)

Semester: Fall 2026

This course develops students’ skills in data analysis and reporting for business decision making, with an emphasis on AI-enabled analytics using Python and related tools. Topics include data preparation, exploratory data analysis, predictive modeling, regression, classification and model evaluation, decision trees, random forests, clustering, text mining, data visualization and reporting, agentic AI, and explainable and responsible AI.

BINS 30503: Info Tech for Decision Making (Undergraduate)

Semester: Fall 2024

This course explores information technology for decision making, equipping students with practical and managerial skills to use data, analytical tools, information systems, and AI to support business decisions. Topics include database and SQL fundamentals, what-if and break-even analysis, scenario and sensitivity analysis, forecasting, A/B testing, decision trees, data analysis and visualization, business information systems, AI, and ethical and social issues in technology-supported decision making.

CIS 3730: Database Management Systems (Undergraduate)

Semester: Fall 2024, Enrollment: 49, Overall Teaching Evaluation: 4.5/5

This course explores database management systems (DBMS), equipping students with technical and managerial competencies for database analysis, implementation, design, and administration within a business context. Topics include structured data, relational database design, SQL programming, database design process, and database administration.

Selected Student Feedback

"I really enjoyed the organized structure of the course because it made me much more productive in the class than usual."

"I genuinely enjoyed this course very much. I was very nervous about learning another programming language after I had such a difficult time learning Python last semester. But, the instructor taught the material in a very easy-understanding way that made SQL seem less intimidating. Not only did she teach us well, but she was excellent in doing so. I am glad to have taken this class under her instruction."

"I really liked that she cared for her students in many ways besides academically, and she was very accommodating."

"The way the instructor used step-by-step instructions and had us go along with her was really helpful for me. She was always willing to answer questions in the middle of the lecture and made sure we understood the answers before moving on, which I really appreciated. The visualization and mapping portion of the class made me consider going into that field when I graduate, so I am thankful I had an informative and helpful teacher to introduce this topic to me!"

Teaching Style

Student-centered
Critical thinking-oriented
Step-by-step instructions
Easy-understanding illustration

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