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 • e. Commerce • 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 Human. Machine 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 – e. Commerce – 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
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