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Vahid Roshanaei; Bahman Naderi; Opher Baron; Dmitry Krass – INFORMS Transactions on Education, 2024
We present an interactive spreadsheet that supports teaching essential concepts in classification using the logistic regression (LoR) model for binary classification. The interactive spreadsheet demonstrates the capabilities of LoR by integrating computation with visualization. Students will reinforce concepts like probabilities, maximum…
Descriptors: Spreadsheets, Interaction, Classification, Computation
Larry J. LeBlanc; Thomas A. Grossman; Michael R. Bartolacci – INFORMS Transactions on Education, 2024
The COVID-19 pandemic has forced the rapid adoption of remote teaching modalities including "hyflex" where students attend some class sessions in person and some online. Managing the hyflex course requires faculty to quickly generate several reports and to update these reports rapidly when the authorities adjust the rules, students…
Descriptors: Blended Learning, Scheduling, Spreadsheets, COVID-19
Mark W. Isken – INFORMS Transactions on Education, 2025
A staple of many spreadsheet-based management science courses is the use of Excel for activities such as model building, sensitivity analysis, goal seeking, and Monte-Carlo simulation. What might those things look like if carried out using Python? We describe a teaching module in which Python is used to do typical Excel-based modeling and…
Descriptors: Spreadsheets, Models, Programming Languages, Monte Carlo Methods
Thin-Yin Leong; Nang-Laik Ma – INFORMS Transactions on Education, 2024
This paper develops a spreadsheet simulation methodology for teaching simulation and performance analysis of priority queues with multiple servers, without resorting to macros, add-ins, or array formula. The approach is made possible by a "single overtaking" simplifying assumption under which any lower-priority customer may be passed in…
Descriptors: Spreadsheets, Simulation, Teaching Methods, Computer Science Education
Brusco, Michael J. – INFORMS Transactions on Education, 2022
There are a variety of discrete facility location models that have practical relevance for operations management and management science courses. Integer linear programming (ILP) is the standard technique for solving such problems. An alternative approach that is often conceptually appealing to students is to pose the problem as one of finding the…
Descriptors: Problem Solving, Spreadsheets, Facilities, Geographic Location
Brusco, Michael – INFORMS Transactions on Education, 2022
Logistic regression is one of the most fundamental tools in predictive analytics. Graduate business analytics students are often familiarized with implementation of logistic regression using Python, R, SPSS, or other software packages. However, an understanding of the underlying maximum likelihood model and the mechanics of estimation are often…
Descriptors: Regression (Statistics), Spreadsheets, Data Analysis, Prediction
Wellington, John F.; Lewis, Stephen A. – INFORMS Transactions on Education, 2021
The simple vehicle routing problem (VRP) is a common topic of discussion in introductory operations research/management science courses. The VRP can be framed in a variety of ways, and it can be difficult to solve to optimality. For solution purposes, introductory textbooks demonstrate how Excel's Evolutionary Solver (ES) add-in produces a…
Descriptors: Problem Solving, Motor Vehicles, Traffic Safety, Introductory Courses