Large-scale convex optimization, statistical machine learning, and data-driven decision making.
In these cases, you should make an appointment to meet an adviser to determine how you can meet the Senior Residence Requirement.
Applications must be submitted by invitation only.
Review of linear and nonlinear optimization models, including optimization problems with discrete decision variables.
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Flexibility of integer optimization formulations; if-then constraints, fixed-costs, etc.
To carefully present the statistical and computational assumptions, trade-offs, and intuition underlying each method discussed so that students will be trained to determine which techniques are most appropriate for a given problem.
Consideration of technical and economic aspects of equipment and process design.