BUSM 3021 - Business and Financial Analytics II
Primary Instructor
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Spring 2021 / Fall 2021 / Spring 2022 / Fall 2022 / Spring 2023
Focuses of quantitative tools to interpret and solve important problems in business and finance. Makes use of spreadsheet modeling, analysis and mini cases to present material. Ideal for those interested in quantitative methods and modeling. Degree credit not granted for this course and BUSM 3002.
MBAC 6080 - Decision Modeling and Applications
Primary Instructor
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Summer 2018 / Summer 2019 / Summer 2020
Integrates topics from decision analysis and operations management as they relate to modeling management decisions. Field projects involve the university, local companies, and/or government agencies.
MGMT 4820 - Decision Analytics
Primary Instructor
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Spring 2021 / Spring 2022 / Spring 2023 / Fall 2023 / Spring 2024
This course prepares students to thrive in analytics-driven organizations. Students will explore the capabilities and challenges of data-driven business decision making. The course will introduce a set of common analytics tools. Students will have opportunities to apply the analytics tools to business problems based on practical data sets from various companies. Excel spreadsheet and several other software packages will be used extensively in the course. The class will be conducted with a combination of lectures, case discussions, lab sessions, and student presentations. Grading will be based on several problem sets, exams, case reports, and a final project. Same as MGMT 5820.
MSBC 5680 - Optimization Modeling
Primary Instructor
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Fall 2023 / Fall 2024
Focuses on formulating decision problems as mathematical models and employing computational tools to solve them. Microsoft Excel is used as the main modeling platform but the course will also cover advanced tools, such as modeling languages. Optimization modeling will be illustrated in problems associated with operations, marketing, management, and finance. Integrates topics from decision analysis and operations management as they relate to modeling management decisions.
OPIM 8820 - Large-Scale Optimization
Primary Instructor
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Spring 2020
Covers computational techniques for solving optimization problems with a large number of variables and/or constraints. The techniques will have many business and engineering applications. With the emphasis on integer programming, we will study Branch-and-Cut, Lagrangian relaxation, column generation and Bender's decomposition, from both a theoretical and practical perspective. Students will learn to formulate and solve large-scale problems and learn how to apply these techniques for their research.
