Course Outline:
1. Introduction to Optimization
2. Classical Optimization Techniques
3. Linear Programming I : Simplex Method
4. Linear Programming II : Additional Topics and Extensions
5. Nonlinear Programming I : One-Dimensional Minimization Methods
6. Nonlinear Programming II : Unconstrained Optimization Techniques
7. Nonlinear Programming III : Constrained Optimization Techniques

Textbooks: Rao, S.S., Engineering Optimization, 3rd Ed., John Wiley & Sons, New York (1996)

Homeworks: 40%
Mid-term Exam: 30%
Final Exam: 30%