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2011-2012 Bulletin – PDF - SEAS Bulletin - Columbia University

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operations research: Third and Fourth Years<br />

161<br />

Semester V Semester VI Semester VII Semester VIII<br />

MATH E1210 (3)<br />

Ordinary diff. equations<br />

IEOR E3106 (3)<br />

Stochastic models<br />

Required<br />

Courses 1 IEOR E3608 (4)<br />

Mathematical prog.<br />

COMS W4111 (3)<br />

Database systems<br />

IEOR E3402 (4)<br />

Production planning<br />

IEOR E4404 (4)<br />

Simulation<br />

IEOR E4600 (3)<br />

Applied integer prog.<br />

IEOR E4003 (3)<br />

Industrial econ.<br />

IEOR E4700 (3)<br />

Intro to FE<br />

IEOR E4407 (3)<br />

Game theoretic models of<br />

operations<br />

IEOR E4405 (3)<br />

Prod. scheduling<br />

operations<br />

research<br />

electives<br />

nontech<br />

electives<br />

Choose four OR electives (12 pts. total):<br />

Please consult the list on the departmental website: www.ieor.columbia.edu<br />

Complete 27-point requirement. See page 10 or www.engineering.columbia.edu for details.<br />

1 Taking required courses later than the prescribed semester is not permitted.<br />

with emphasis on its combinatorial aspects. Basic<br />

definitions, and some fundamental topics in graph<br />

theory and its applications. Topics include trees<br />

and forests graph coloring, connectivity, matching<br />

theory and others.<br />

IEOR E4106x and y Introduction to operations<br />

research: stochastic models<br />

3 pts. Lect: 3. Professor Yao.<br />

Prerequisites: SIEO W4150 or probability theory.<br />

This is a required course for MSEMS, MSIE, and<br />

MSOR students. This is also required for students<br />

in the Undergraduate Advanced Track. Some of<br />

the main stochastic models used in engineering<br />

and operations research applications: discrete-time<br />

Markov chains, Poisson processes, birth and death<br />

processes and other continuous Markov chains,<br />

renewal reward processes. Applications: queueing,<br />

reliability, inventory, and finance.<br />

SIEO W4150x and y Introduction to probability<br />

and statistics<br />

3 pts. Lect: 3. Professor Wright.<br />

Prerequisite: Calculus. Fundamentals of probability<br />

theory and statistical inference used in engineering<br />

and applied science. Probabilistic models, random<br />

variables, useful distributions, expectations, law<br />

of large numbers, central limit theorem. Statistical<br />

inference: point and confidence interval estimation,<br />

hypothesis tests, linear regression.<br />

IEOR E4207x Human factors: performance<br />

3 pts. Lect: 3. Professor Gold.<br />

This course is required for undergraduate<br />

students majoring in IE. Sensory and cognitive<br />

(brain) processing considerations in the design,<br />

development, and operations of systems, products,<br />

and tools. User or operator limits and potential in<br />

sensing, perceiving decision making, movement<br />

coordination, memory, and motivation.<br />

IEOR E4208y Seminar in human factors design<br />

3 pts. Lect: 3. Professor Gold.<br />

Prerequisite: IEOR E4207 or instructor’s<br />

permission. This course is an elective<br />

undergraduate students majoring in IE. An in-depth<br />

exploration of the application potential of human<br />

factor principles for the design of products and<br />

processes. Applications to industrial products,<br />

tools, layouts, workplaces, and computer displays.<br />

Consideration to environmental factors, training<br />

and documentation. Term project.<br />

IEOR E4210y Supply chain management<br />

3 pts. Lect: 3. Professor Truong.<br />

Prerequisite: IEOR E3402, E4000, or<br />

permission of instructor. This is a IE elective for<br />

undergraduate students majoring in IE. Major<br />

issues in supply chain management, including,<br />

definition of a supply chain; role of inventory;<br />

supply contracts; bullwhip effect and information<br />

sharing; vendor-managed inventories and<br />

other distribution strategies; third-party logistics<br />

providers; managing product variety; information<br />

technology and supply chain management;<br />

international issues. Emphasis on quantitative<br />

models and analysis.<br />

IEOR E4220y Demand and supply analytics<br />

3 pts. Lect: 3. Not offered in <strong>2011</strong>–<strong>2012</strong>.<br />

Prerequisites: IEOR E4004 (or E3608), IEOR<br />

E4106 (or E3608). Tools to efficiently manage<br />

supply and demand networks. Topics include<br />

service and inventory trade-offs, stock allocation,<br />

pricing, markdown management and contracts,<br />

timely product distribution to market while avoiding<br />

excess inventory, allocating adequate resources to<br />

the most profitable products and selling the right<br />

product to the right customer at the right price and<br />

at the right time.<br />

IEOR E4307x Applied statistical models in<br />

operations research<br />

3 pts. Lect: 3. Professor Wright.<br />

Prerequisites: probability, linear algebra.<br />

Descriptive statistics, central limit theorem,<br />

parameter estimation, sufficient statistics,<br />

hypothesis testing, regression, logistic regression,<br />

goodness-of-fit tests, applications to operations<br />

research models.<br />

IEOR E4308x Industrial budgeting and<br />

financial control<br />

3 pts. Lect: 3. Professor Luss.<br />

Prerequisite: ENGI W2261 or accounting and<br />

finance. Management control via the budgeting and<br />

financial processes. Topics include the preparation,<br />

evaluation, and implementation of operating and<br />

capital budgets and review of their performance.<br />

Examples from contemporary practice.<br />

IEME E4310x The manufacturing enterprise<br />

3 pts. Lect: 3. Professor Weinig.<br />

The strategies and technologies of global<br />

manufacturing and service enterprises.<br />

Connections between the needs of a global<br />

enterprise, the technology and methodology<br />

needed for manufacturing and product<br />

development, and strategic planning as currently<br />

practiced in industry.<br />

IEOR E4403x Advanced engineering and<br />

corporate economics<br />

3 pts. Lect: 3. Professor Sadighian.<br />

Prerequisites: Probability theory and linear<br />

programming This course is required for students<br />

in the Undergraduate Advanced Track. Key<br />

measures and analytical tools to assess the<br />

financial performance of a firm and perform<br />

the economic evaluation of industrial projects.<br />

Deterministic mathematical programming models<br />

for capital budgeting. Concepts in utility theory,<br />

game theory and real options analysis.<br />

engineering <strong>2011</strong>–<strong>2012</strong>

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