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C E X92C C E 392C  Transportation Network Analysis  3 Hours

3 Lecture Hours  0 Lab Hours  
Transportation network analysis focusing on planning and optimization using static traffic assignment models. Subjects include deterministic and stochastic equilibrium, traditional and modern solution methods, shortest path algorithms, combined models, and basic nonlinear programming skills. Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

M E X92C M E 392C  Design Optimization and Automation  3 Hours

3 Lecture Hours  0 Lab Hours  
Optimization in mechanical design, including monotonicity analysis, gradient-based constrained optimization, tree-searching, and stochastic approaches. Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and proficiency in C or MATLAB.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral