ORFE
Princeton Preview
Class 2016
Presented by
Prof. Alain L. Kornhauser
Department Representative
Operations Research & Financial Engineering
For more info see: orfe.princeton.edu
or email: alaink@princeton.edu
Why ORFE?
• Study and work on challenging and
relevant problems.
• Learn and apply mathematical &
computational skills to address
interesting, useful and relevant
applications.
Marketable Skills
• Probability: Modeling & understanding of
uncertainty and risk.
• Statistics: Quantifying uncertainty.
• Optimization: Choose among many
alternatives; decision making
• Economics & Finance: Quantifying the best
– These skills are recognized and rewarded in the
marketplace by employers & top graduate schools.
– They will make you a better Leader.
Familiarity in a Variety of Applications
• Finance & Economics
• Logistics & Transportation
• eCommerce
• Telecommunications
• Energy
• Life Sciences
Focus on Decisions Making
over Time
in Systems with substantial
Uncertainty and Risk
Freshman Year
• Fall:
4 courses
Math
Physics
Chemistry
Writing (or Frosh Seminar or ???)
• Spring:
5 courses
Math
Physics
Statistics (ORF 245)
Frosh Seminar (or Writing or ???)
other
Core Classes
• ORF 245 – Engineering Statistics
• ORF 307 – Optimization
• ORF 309 – Probability & Stochastic Processes
• ORF 335 – Introduction to Financial
Engineering
• ORF 405 – Time Series Analysis
• ORF 411 – Operations & Information
Engineering
Eight Department Electives
•
From... APC 350 Methods in Partial Differential Equations, MAE 305 Mathematics in
Engineering I, MAE 306 Mathematics in Engineering II, MAT 304 Introduction to partial
differential equations, MAT 306 Introduction to Graph Theory, MAT 307 Combinatorial
Mathematics, MAT 308 Theory of Games, MAT 314 Introduction to Real Analysis, MAT 315
Real Analysis, MAT 341 Numerical Analysis, MAT 390 Probability Theory, MAT 391 Random
Processes, ORF 311 Optimization Under Uncertainty, ORF 375 Junior Independent Work,
ORF 376 Junior Independent Work, ORF 401 Electronic commerce, ORF 406 Statistical
Design of Experiments, ORF 409 Intro. to Monte Carlo Simulation, ORF 417 Dynamic
Programming, ORF 435 Financial Risk Management, ORF 467 Transportation and Logistics,
ECO 310 Microeconomics Theory: a Mathematical Approach, ECO 317 The Economics of
Uncertainty, ECO 341 Public Finance, ECO 342 Money and Banking, ECO 361 Accounting,
ECO 362 Financial Investments, ECO 363 Corporate Finance, ECO 414 Introduction to
Economic Dynamics, ECO 418 Strategy and Information, ECO 462 Portfolio Theory and
Asset Management, Econ 464 Corporate Restructuring, ECO 465 Options, Futures, and
Financial Derivatives, ECO 466 Fixed Income: Models and Applications, PSY 322 HumanMachine Interaction, COS 217 Introduction to Programming Systems, COS 226 Algorithms
and Data Structures, COS 309 Fundamentals of Scientific Computing, COS 323 Computing
for the Physical and Social Sciences, COS 341 Discrete Mathematics, COS 423 Theory of
Algorithms, COS 425 Database systems, ELE 485 Signal Analysis and Communication
Systems, ELE 486 Digital Communication and Networks, MAE 433 Automatic Control
Systems, CEE 303 Introduction to Environmental Engineering, CEE 360 Risk Assessment
and Management.
Some Common Tracks
• Information Sciences
– ORF 401 – eCommerce
– COS 217 – Programming Systems
– COS 226 – Algorithms & Data Structures
– COS 425 – Database Systems
• Engineering Applications & Methods
– ORF 418 – Optimal Learning Systems
– ORF 467 – Transportation Systems Analysis
– ORF 417 – Dynamic Programming
– MAE 433 – Automatic Control Systems
More Common Tracks
• Economics
– ECO 342 – Money & Banking
– ECO 361 – Accounting
– ECO 363 – Corporate Finance
– MAT 308 – Game Theory
• Financial Engineering
– ORF 311 – Optimization Under Uncertainty
– ORF 435 – Financial Risk Management
– ECO 362 – Financial Investments
– ECO 465 – Financial Derivatives
Selected Senior Theses
•
Hillary Ford ’12 - Shared Autonomous Taxis: Implementing an Efficient
Alternative to Automobile Dependency
•
Stephanie Lubiak’11 – Neighborhood Nukes: Economics of Distributed
Nuclear Power Generation, including Implications on Our Trade Imbalance.
•
Anna Zhao ’12– Life in the Fast Lane: A Time Series and Copula Approach to
Forecasting Speeds on the Nation’s Roadways
•
Pawel Buczak ’10 - From Smart Grid Vision to Reality: Agent-based Modeling
of the Smart Grid
•
Ravi Yegya-Raman ’12– Grid Impacts of Charging Electric Vehicles n an
Urban Area: A Case Study of Queens, NY
•
James Derek Tate ‘10 – Cuba after Castro: Modeling the Transformation
from Collectivism to Capitalism
•
Lauren Hedinger ’08 - The Quadrivalent Human Papillomavirus Vaccine: A
Cost-Benefit Analysis of Cervical Cancer Prevention Strategies
Recent Graduates
• Graduate Schools: Harvard, Stanford,
Cornell, Georgia Tech, Texas A&M, U. of
Kentucky (Med School)
• Banks & Investment Firms: Goldman
Sachs, Morgan Stanley, JP Morgan, Deutche,
Bridgewater
• Industries: Aspect Medical Systems, Parsons
Brinkerhoff, Walt Disney, Eastman Kodak,
Abercrombie
• Management/Economic Consulting:
Mercer, Accenture, Monitor, ZS Associates,
Bates
ORFE
Princeton Preview
Class 2016
Presented by
Prof. Alain L. Kornhauser
Department Representative
Operations Research & Financial Engineering
For more info see: orfe.princeton.edu
or email: alaink@princeton.edu