2011-2012 Bulletin â PDF - SEAS Bulletin - Columbia University
2011-2012 Bulletin â PDF - SEAS Bulletin - Columbia University
2011-2012 Bulletin â PDF - SEAS Bulletin - Columbia University
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
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>