Prof. Laguna has done extensive research in the interface between computer science, artificial intelligence and operations research to develop solution methods for practical problems in operations-management areas such as logistics and supply chains, telecommunications, decision-making under uncertainty and optimization of simulated systems.
BUSM 3021 - Business and Financial Analytics II
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.
MGMT 4820 - Decision Analytics
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.
MSBC 5680 - Decision Modeling and Applications
Fall 2018 / Fall 2019 / Fall 2020
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.