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2011-2012 Bulletin – 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>

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