Description: Description:









MSE 348: Optimization Under Uncertainty and Applications in Finance, Winter

How to make optimal decisions in the presence of uncertainty, solution techniques for large-scale systems resulting from decision problems under uncertainty, and selected applications in finance. Decision trees, utility, two-stage and multi-stage decision problems, approaches to stochastic programming, model formulation; large-scale systems, Benders and Dantzig-Wolfe decomposition, Monte Carlo sampling and variance reduction techniques, risk management, portfolio optimization, mortgage finance.


The course includes a class project, involving teams, where typically a practical financial problem is analyzed, discussed, and presented at the end of the course.


The course qualifies as a full project course.


Gerd Infanger

Tuesday and Thursday 11:00--12:15

Y2E2 253

Office hours:
Tuesday and Thursday 13:30--14:30
Huang Engineering Center, 3rd floor, room 342
(best make an appointment)

Administrative support:
Lorri Papadaikis
Huang Engineering Center, 3rd floor, room 339
Phone: 650 725-0535

Infanger:  Planning Under Uncertainty, Boyd and Fraser 1994  (to be obtained from the instructor)

Additional Reading:
Birge, Louveaux:  Introduction to Stochastic Programming, Springer 1997  (recommended)

Infanger: Stochastic Programming, The State of the Art In Honor Of George Dantzig, Springer 2010  (recommended)

Dantzig and Thapa:  Linear Programming and Extensions, Part I and II, Springer 1997 and 2004 (recommended)

Project: yet to be determined

Final Exam
: if, date and time yet to be determined