Graduate course, UNC Charlotte, Industrial and Systems Engineering, 2025
This course covers fundamentals of deterministic system analysis. It is partitioned into three modules: linear algebra and matrix analysis, continuous optimization for linear and nonlinear systems, and discrete optimization by integer programming and dynamic programming.
Graduate course, Texas A&M University-Corpus Christi, Industrial Engineering, 2025
This course is designed to explore a wide range of optimization problems, ranging from basic 1-D unconstrained optimization to complex multi-objective optimization and Students will learn various optimization algorithms, gain a solid theoretical foundation, and apply these techniques using MATLAB for practical problem-solving.
Undergraduate course, Texas A&M University-Corpus Christi, Industrial Engineering, 2024
This course covers a large range of topics, from fundamental concepts and basic economic analysis method, and then extend to multiple alternative project alternatives comparison with different criteria, and eventual to more advanced project economic analysis considering depreciation, taxes, and inflation.
Undergraduate course, Texas A&M University-Corpus Christi, Industrial Engineering, 2024
Introduction of discrete-event simulation, random number generation, simulation modeling using Rockwell Arena, input/output data analysis, Monte Carlo simulation, verification and validation of simulation models, read/write simulation data from/to external files.
Undergraduate course, Texas A&M University-Corpus Christi, Industrial Engineering, 2023
Introduction of discrete-event simulation, random number generation, simulation modeling using Rockwell Arena, input/output data analysis, Monte Carlo simulation, verification and validation of simulation models, read/write simulation data from/to external files.