Courses Taught

  • SIE305: Introduction to Engineering Probability and Statistics (3 units), Summer 2013
    Description: Axioms of probability, discrete and continuous distributions, sampling distributions. Engineering applications of statistical estimation, hypothesis testing, confidence intervals.
  • SIE340: Deterministic Operations Research (3 units), Fall 2012, Summer 2014, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Summer 2020
    Description: Linear programming models, solution techniques, sensitivity analysis and duality. Prerequisite(s): SIE 265, SIE 270
  • SIE440/540: Survey of Optimization Methods (3 units), Spring 2013, Spring 2014, Spring 2016, Spring 2017, Spring 2018, Spring 2021
    Description: Survey of methods including network flows, integer programming, nonlinear programming, and dynamic programming. Model development and solution algorithms are covered. Prerequisite(s): SIE 340
  • SIE500C: Linear Programming (1 unit), online course
    Description: Linear programming models, solution techniques, and duality. Prerequisite(s): SIE 270 and SIE 265, or ECON 210
  • SIE545: Fundamentals of Optimization (3 units), Fall 2012, Fall 2013, Fall 2014, Fall 2015
    Description: Unconstrained and constrained optimization problems from a numerical standpoint. Topics include variable metric methods, optimality conditions, quadratic programming, penalty and barrier function methods, interior point methods, successive quadratic programming methods. Prerequisite(s): SIE 340
  • SIE644: Integer and Combinatorial Optimization (3 units), Spring 2013, Spring 2017
    Description: Modeling and solving problems where the decisions form a discrete set. Topics include model development, branch and bound methods, cutting plane methods, relaxations, computational complexity, and solving well-structured problems. Prerequisite(s): SIE 544
  • SIE645: Nonlinear Optimization (3 units), Spring 2015, Spring 2019
    Description: This course is devoted to structure and properties of practical algorithms for unconstrained and constrained nonlinear optimization. Prerequisite(s): SIE 544 or SIE 545

More information for SIE courses can be found at here: undergraduate [LINK] and graduate [LINK].