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
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industrial engineering: Third and Fourth Years<br />
159<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 E4003 (3)<br />
Industrial econ.<br />
IEOR E4207 (3)<br />
Human factors<br />
IEOR E4705 (3)<br />
Studies in operations<br />
research<br />
IEOR E4405 (3)<br />
Prod. scheduling<br />
IEOR E4412 (3)<br />
Quality control and<br />
management<br />
IEOR E4510 (3)<br />
Project management<br />
technical<br />
electives<br />
NONTECH<br />
electives<br />
Industrial<br />
Engineering<br />
Electives<br />
Choose one (3 pts.): 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 />
Choose two (6 pts.): IEOR E4210, IEOR E4418, or IEME E4310<br />
1 Taking required courses later than the prescribed semester is not permitted.<br />
(DCF) project evaluation methods; deterministic<br />
and probabilistic measures of risk; capital<br />
budgeting.<br />
IEOR E3106x Introduction to operations<br />
research: stochastic models<br />
3 pts. Lect: 3. Professor Whitt.<br />
Prerequisite: SIEO W3600. For undergraduates<br />
only. This course is required for all undergraduate<br />
students majoring in IE, OR:EMS, OR:FE, and OR.<br />
This class must be taken during (or before) the<br />
fifth semester. Some of the main stochastic models<br />
used in engineering and operations research<br />
applications: discrete-time Markov chains, Poisson<br />
processes, birth and death processes and other<br />
continuous Markov chains, renewal reward<br />
processes. Applications: queueing, reliability,<br />
inventory, and finance. IEOR E3106 must be<br />
completed by the fifth term. Only students with<br />
special academic circumstances may be allowed<br />
to take these courses in alternative semesters<br />
with the consultation of CSA and Departmental<br />
advisers.<br />
IEOR E3402y Production inventory planning<br />
and control<br />
4 pts. Lect: 3. Recit: 1. Professor Truong.<br />
Prerequisites: SIEO W3600 Probability and<br />
Statistics and IEOR E3608 Introduction to OR:<br />
Mathematical programming. For undergraduates<br />
only. This course is required for all undergraduate<br />
students majoring in IE, OR:EMS, OR:FE, and<br />
OR. This class must be taken during (or before)<br />
the sixth semester. Inventory management and<br />
production planning. Continuous and periodic<br />
review models: optimal policies and heuristic<br />
solutions, deterministic and probabilistic demands.<br />
Material requirements planning. Aggregate<br />
planning of production, inventory, and work force.<br />
Multi-echelon integrated production-inventory<br />
systems. Production scheduling. Term project.<br />
Recitation section required.<br />
SIEO W3600y Introduction to probability<br />
and statistics<br />
4 pts. Lect: 3. Recit: 1. Instructor to be announced.<br />
Prerequisite: Calculus. For undergraduates only.<br />
This course is required for undergraduate students<br />
majoring in IE, OR:EMS, and OR. This class must<br />
be taken during the fourth semester. Fundamentals<br />
of probability and statistics used in engineering<br />
and applied science. Probability: random variables,<br />
useful distributions, expectations, law of large<br />
numbers, central limit theorem. Statistics: point and<br />
confidence interval estimation, hypothesis tests,<br />
linear regression. SIEO W3600 must be completed<br />
by the fourth term. Only students with special<br />
academic circumstances may be allowed to take<br />
these courses in alternative semesters with the<br />
consultation of CSA and Departmental advisers.<br />
Recitation section required.<br />
IEOR E3608x Introduction to mathematical<br />
programming<br />
4 pts. Lect: 3. Recit: 1. Professor Chudnovsky.<br />
Prerequisite: MATH V2010 Linear algebra.<br />
Corequisite: COMS W3134 (or COMS W3137<br />
Data structures). For undergraduates only.<br />
This course is required for all undergraduate<br />
students majoring in IE, OR:EMS, OR:FE, and<br />
OR. This class must be taken during (or before)<br />
the fifth semester. Introduction to mathematical<br />
programming models and computational<br />
techniques. Linear programming and the<br />
simplex method, dynamic programming, implicit<br />
enumeration for integer programs; production<br />
planning applications. IEOR E3608 must be<br />
completed by the fifth term. Only students with<br />
special academic circumstances may be allowed<br />
to take these courses in alternative semesters<br />
with the consultation of CSA and Departmental<br />
advisers. Recitation section required.<br />
IEOR E3658x Probability<br />
3 pts. Lect: 3. Professor Olvera-Cravioto.<br />
Prerequisite: Calculus. For undergraduates<br />
only. This course is required for the OR:FE<br />
concentration. This class must be taken during<br />
(or before) the third semester. Fundamentals of<br />
probability theory. Distributions of one or more<br />
random variables. Moments, generating functions,<br />
law of large numbers and central limit theorem.<br />
IEOR E3900x and y Undergraduate research<br />
or project<br />
1–3 pts. Members of the faculty.<br />
Prerequisite: Approval by a faculty member who<br />
agrees to supervise the work. Independent work<br />
involving experiments, computer programming,<br />
analytical investigation, or engineering design.<br />
IEOR E4000x Production and operations<br />
management<br />
3 pts. Lect: 3. Professor Goyal.<br />
Prerequisites or Corequisite: Probability theory<br />
and linear programming. Required course for<br />
MSIE. An introduction to production management<br />
for students not having an industrial engineering<br />
bachelor’s degree. Topics include deterministic<br />
inventory models, aggregate production planning,<br />
material requirements planning, forecasting,<br />
stochastic inventory models and supply chain<br />
management. Emphasis is on modeling and its<br />
implications for managerial decisions.<br />
engineering <strong>2011</strong>–<strong>2012</strong>