Current Teaching

• INSTRUCTOR, University of California, Berkeley (Fall 2005)
  
  Course Title: IEOR 172 Probability and Risk Analysis for Engineers
  
  Job Description: Full responsibility for the course.
  
  Course Description: Undergraduate course in introductory probability: combinatorial analysis, probability axioms, independence, discrete, continuous and jointly distributed random variables, conditional and unconditional probability and expectation.

Teaching and Tutoring Experience

• GRDUATE STUDENT INSTRUCTOR, University of California, Berkeley (Spring 2004)
  
  Course Title: IEOR 161 Operations Research II
  
  Job Description: Lead two discussion sessions per week, lecture and review main concepts and important materials in the course, make and show how to solve extra problem sets in discussion sessions, hold office hours, grade exams, prepare homework solutions, create and update course web site, and give extra review sessions for each exam.
  
  Course Description: Undergraduate course in probability models and stochastic processes: random variables, conditional and unconditional probability and expectation, exponential random variables, Poisson processes, and queueing systems.
  
  Teaching Awards: Outstanding Graduate Student Instructor 2003-2004, Best IEOR Graduate Student Instructor of The Year 2003-2004.





• GRADUATE INDIVIDUAL TUTOR, University of California, Berkeley (Fall 2003)
  
  Course Title: IEOR 262A Mathematical Programming I
  
  Job Description: Review main concepts and important materials in the course, prepare some extra problems, answer specific questions and teach some useful materials not covered in the class.
  
  Course Description: Graduate course in linear and nonlinear programming: local and global optimum, convexity, linear programming, simplex algorithm, sensitivity analysis, duality, nonlinear programming, KKT conditions, Newton's methods, steepest descent methods, convergence of algorithms.