Operations Research & Information Engineering (ORIE)Engineering
Showing 61 results.
Course descriptions provided by the 2026-2027 Catalog.
Last Updated
- Schedule of Classes - April 13, 2026 10:10AM EDT
Classes
ORIE 3150
Course Description
Covers principles of accounting, financial reports, financial-transactions analysis, financial-statement analysis, budgeting, job order and process-cost systems, standard costing and variance analysis, ... view course details
Regular Academic Session. Choose one lecture and one discussion.
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Callister, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Callister, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Callister, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Callister, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Callister, J
-
Additional Information
Instruction Mode: In Person
ORIE 3300
Course Description
Formulation of linear programming problems and solutions by the simplex method. Related topics such as sensitivity analysis, duality, and network programming. Applications include such models as resource ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 5300
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
ORIE 3500
Course Description
A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 5500
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Credits and Grading Basis
4 Credits Graded(Letter grades only)
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Class Number & Section Details
-
Meeting Pattern
- MWF
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
ORIE 4100
Course Description
This project-based course puts students in the roles of analysts and advisors to an industrial firm facing broad challenges in customer service, product quality, market share, and profitability. Students, ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 5100
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Gentsch, E
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: seniors.
ORIE 4120
Course Description
This course will provide a rigorous coverage of the (stochastic and deterministic) models commonly used in the study of inventory, operations, and supply chain management. This includes the multi-period ... view course details
Regular Academic Session. Combined with: ORIE 5120
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 4154
Course Description
Application of modeling and optimization techniques in designing a company's interface with the market. We will cover a variety of topics (product pricing and capacity control; designing product assortments ... view course details
Regular Academic Session. Combined with: ORIE 5154
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Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 4340
Course Description
This course will cover the use of optimization models in several industries. Covered industries will include manufacturing, process, distribution, retail, and transportation. We will not cover models used ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 5340
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Dietrich, B
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Dietrich, B
-
Additional Information
Instruction Mode: In Person
ORIE 4360
Course Description
This course provides students with a rigorous perspective on, and a technical toolbox for, the design of democratic processes, treated through the lens of algorithmic analysis. The course exposes students ... view course details
Regular Academic Session. Combined with: ORIE 5360
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Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
ORIE 4570
Course Description
The ongoing information revolution and the advent of the big data era make quantitative methods in the business context indispensable. This course introduces reinforcement learning, decision-making under ... view course details
Regular Academic Session. Combined with: ORIE 5570
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Credits and Grading Basis
3 Credits Graded(Letter grades only)
ORIE 4580
Course Description
Introduction to Monte Carlo simulation and discrete-event simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis; modeling, analysis ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 5580
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
ORIE 4630
Course Description
Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 5630, STSCI 4630, STSCI 5630
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Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
ORIE 4820
Course Description
This course equips students with essential data-driven decision-making skills, integrating structured and unstructured data. It bridges classical modeling techniques with modern computational tools, emphasizing ... view course details
Regular Academic Session. Combined with: ORIE 5820
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Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
ORIE 4900
Course Description
Students engage in a mentored investigation or inquiry that aims to make a scholarly contribution to the field of operations research and information engineering. All students are mentored by Cornell faculty ... view course details
Project Session Full.
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Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Wissel, J
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Shmoys, D
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Schalekamp, F
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Lewis, A
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Patie, P
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Gentsch, E
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Leeker, J
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
MINCA, A
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Dietrich, B
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Dai, J
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Banerjee, S
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Samorodnitsky, G
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Shafiee, S
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Henderson, S
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Gan, K
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Anderer, A
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Frazier, P
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Xin, L
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Sabach, S
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Golz, P
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Wu, Y
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: Independent Studies
Students from all Colleges must submit a Cornell Engineering Research for Credit Form (https://experience.cornell.edu/opportunities/cornell-engineering-research-credit). Upon approval, students are responsible for enrolling themselves with a permission number.
Instructor Consent Required (Add)
ORIE 4990
Course Description
Involves working as a TA in an ORIE course. The instructor assigns credits (the guideline is 1 credit per four hours per week of work with a limit of 3 credits). view course details
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
Project Session Full.
-
Credits and Grading Basis
1-3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 4999
Course Description
Project-type work, under faculty supervision, on a real problem existing in some firm or institution. Opportunities in the course may be discussed with the associate director. view course details
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Shmoys, D
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Sabach, S
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Anderer, A
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Xin, L
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Leeker, J
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
Project Session Full.
-
Credits and Grading Basis
1-4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: Independent Studies
Application required. See https://forms.gle/JKNZBMx5HT7H2jtT8 to apply.
Department Consent Required (Add)
ORIE 5100
Course Description
This project-based course puts students in the roles of analysts and advisors to an industrial firm facing broad challenges in customer service, product quality, market share, and profitability. Students, ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 4100
-
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Gentsch, E
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
ORIE 5110
Course Description
Students learn to make sound financial decisions in engineering contexts using tools such as time value of money, discounted cash flow, and capital budgeting. The course covers tax implications and financial ... view course details
Seven Week - First.
-
Credits and Grading Basis
1 Credit Graded(Letter grades only)
ORIE 5120
Course Description
This course will provide a rigorous coverage of the (stochastic and deterministic) models commonly used in the study of inventory, operations, and supply chain management. This includes the multi-period ... view course details
Regular Academic Session. Combined with: ORIE 4120
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 5129
Course Description
Many online and tech businesses face logistics challenges that require optimal management of physical resources. These challenges may take the form of opening fulfillment centers at the right locations, ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 5138
Course Description
The course examines how the computing, economic and sociological worlds are connected and how these connections affects these worlds. Tools from computer science, game theory and mathematics are introduced ... view course details
Regular Academic Session. Combined with: CS 5854
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 5140
Course Description
Fundamental ideas of systems engineering, and their application to design and development of various types of engineered systems. Defining system requirements, creating effective project teams, mathematical ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: CEE 5240, ECE 5120, MAE 5910, SYSEN 5100
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Schneider, D
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate and senior students in an Engineering field. Application required. See https://forms.gle/rmtH157GsGPrYnaa8 to apply. If you have questions, please reach out to Breonna Herring (blb253).
Department Consent Required (Add)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Schneider, D
-
Additional Information
Instruction Mode: Distance Learning-Asynchronous
Department Consent Required (Add)
ORIE 5154
Course Description
Application of modeling and optimization techniques in designing a company's interface with the market. We will cover a variety of topics (product pricing and capacity control; designing product assortments ... view course details
Regular Academic Session. Combined with: ORIE 4154
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 5210
Course Description
A weekly guest speaker series designed to broaden students' understanding and knowledge of the financial markets, challenges that industry is facing and learn about a variety of career paths within the ... view course details
Regular Academic Session.
-
Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- R
- Aug 24 - Dec 7, 2026
Instructors
Averbukh, V
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5220
Course Description
Project course in Manhattan satisfying the engineering design project requirement for the M.Eng degree. view course details
Project Session Full.
-
Credits and Grading Basis
5 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Averbukh, V
Stoikov, S
-
Additional Information
Instruction Mode: Independent Studies
Enrollment limited to: ORIE Master of Engineering (M.Eng.) Financial Engineering students in their third semester.
ORIE 5235
Course Description
The course focuses on how to transition from legacy energy delivery infrastructures dependent on fossil fuel to a sustainable decarbonized grid that harnesses distributed renewable energy resources and ... view course details
ORIE 5240
Course Description
A transaction-oriented course covering U.S. Bond markets. The course covers valuation, trading strategies, and risk profiles of bonds, with a special emphasis on mortgage-backed securities. view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- R
- Aug 24 - Dec 7, 2026
Instructors
Averbukh, V
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5252
Course Description
This course is taught by a seasoned finance professional and focuses on the tools and techniques used by quantitative traders. The topics covered include risk measurement and management, alpha forecasting ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Zhao, K
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5253
Course Description
This course is taught by a seasoned finance professional and provides an overview of the current challenges in the asset management industry and proposes practical solutions to overcome these ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Section Topic
Topic: Asset Management Seminar
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Chin, A
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5254
Course Description
This course is taught by a seasoned finance professional and is designed to familiarize students with the most recent developments in the equity derivatives marketplace. The emphasis will be on practical ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Section Topic
Topic: Equity Derivatives: Trading & Arbitra Vol Surf
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Tom, E
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5255
Course Description
This course provides a rigorous treatment of AI model risk management in financial institutions, combining traditional model governance principles with modern AI system design. Students will study how ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Section Topic
Topic: AI Model Risk Management
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Mehta, D
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5256
Course Description
This course is taught by a seasoned finance professional. Machine learning (ML) is changing virtually every aspect of our lives. As it relates to finance, this is the most exciting time to adopt a disruptive ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Section Topic
Topic: Financial Big Data
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Lopez De Prado, M
-
Additional Information
Instruction Mode: Distance Learning-Synchronous
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5257
Course Description
Algorithmic trading and ML-powered tools have impacted all asset classes: beyond the most liquid (and well-studied) equity markets, we have observed a growing number of assets (such as bonds, foreign exchange, ... view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- R
- Aug 24 - Dec 7, 2026
Instructors
Nuti, G
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5258
Course Description
Python is rapidly becoming a golden standard for quantitative finance. In this course students will be exposed to the powerful and fast open-source data science libraries and specific applications of analyzing ... view course details
Seven Week - Second.
-
Credits and Grading Basis
1.5 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Oct 14 - Dec 4, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: first-year Master of Engineering (MEng) Financial Engineering students. Fill out this survey to join the waitlist: https://forms.gle/fipgfoyY67rA7cc49.
ORIE 5260
Course Description
No description available. view course details
Regular Academic Session.
-
Credits and Grading Basis
2 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Staff
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: ORIE Master of Engineering (M.Eng.) Financial Engineering students in their third semester. Cornell Tech ORIE may be able to enroll with a written permission from their program management. After obtaining this permission, forward with email to CFEM Program Director, Prof. Victoria Averbukh (vza1). No petitions will be reviewed without Cornell Tech program permission.
ORIE 5300
Course Description
Formulation of linear programming problems and solutions by the simplex method. Related topics such as sensitivity analysis, duality, and network programming. Applications include such models as resource ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 3300
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Doikov, N
-
Additional Information
Instruction Mode: In Person
ORIE 5340
Course Description
This course will cover the use of optimization models in several industries. Covered industries will include manufacturing, process, distribution, retail, and transportation. We will not cover models used ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4340
-
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Dietrich, B
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- F
- Aug 24 - Dec 7, 2026
Instructors
Dietrich, B
-
Additional Information
Instruction Mode: In Person
ORIE 5355
Course Description
This course considers the data science challenges beyond training an accurate predictive model, especially for systems about people (data of behavior), and for people (deployed models to influence behavior). ... view course details
Regular Academic Session. Combined with: INFO 5370
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
ORIE 5360
Course Description
This course provides students with a rigorous perspective on, and a technical toolbox for, the design of democratic processes, treated through the lens of algorithmic analysis. The course exposes students ... view course details
Regular Academic Session. Combined with: ORIE 4360
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
ORIE 5380
Course Description
This course covers algorithmic and computational tools for solving optimization problems with the goal of providing decision-support for business intelligence. We will cover the fundamentals of linear, ... view course details
Regular Academic Session. Combined with: CS 5727
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
ORIE 5500
Course Description
A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 3500
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MWF
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- R
- Aug 24 - Dec 7, 2026
Instructors
Pender, J
-
Additional Information
Instruction Mode: In Person
ORIE 5530
Course Description
We will learn how to model randomness, analyze its impact, and make optimal decisions when it is present. We will cover stochastic modeling techniques, statistical principles, simulation, and decision-making ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
ORIE 5570
Course Description
The ongoing information revolution and the advent of the big data era make quantitative methods in the business context indispensable. This course introduces reinforcement learning, decision-making under ... view course details
Regular Academic Session. Combined with: ORIE 4570
-
Credits and Grading Basis
3 Credits Graded(Letter grades only)
ORIE 5580
Course Description
Introduction to Monte Carlo simulation and discrete-event simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis; modeling, analysis ... view course details
Regular Academic Session. Choose one lecture and one laboratory. Combined with: ORIE 4580
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
Priority given to: Operations Research and Information Engineering (ORIE) Master of Engineering (MEng) students. Non-ORIE students may enroll during Add/Drop.
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Dec 7, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
ORIE 5581
Course Description
Introduction to Monte Carlo simulation. Topics include: random variate and process generation; data-driven distribution modeling; input and output analysis. Emphasizes modeling and simulation ... view course details
Seven Week - First. Choose one lecture and one laboratory.
-
Credits and Grading Basis
2 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Oct 9, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
Priority given to: Operations Research and Information Engineering (ORIE) Master of Engineering (MEng) students. Non-ORIE students may enroll during Add/Drop.
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Oct 9, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
-
Class Number & Section Details
-
Meeting Pattern
- M
- Aug 24 - Oct 9, 2026
Instructors
Scully, Z
-
Additional Information
Instruction Mode: In Person
ORIE 5600
Course Description
Introduction to continuous-time models of financial engineering and the mathematical tools required to use them, starting with the Black-Scholes model. Driven by the problem of derivative security pricing ... view course details
Regular Academic Session. Choose one lecture and one discussion.
-
Credits and Grading Basis
4 Credits Graded(Letter grades only)
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
MINCA, A
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- W
- Aug 24 - Dec 7, 2026
Instructors
MINCA, A
-
Additional Information
Instruction Mode: In Person
ORIE 5630
Course Description
Introduction to the applications of OR techniques, e.g., probability, statistics, and optimization, to finance and financial engineering. The course reviews probability and statistics and surveys assets ... view course details
Regular Academic Session. Choose one lecture and one discussion. Combined with: ORIE 4630, STSCI 4630, STSCI 5630
-
Credits and Grading Basis
4 Credits Opt NoAud(Letter or S/U grades (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
Enrollment limited to: graduate students.
-
Class Number & Section Details
-
Meeting Pattern
- T
- Aug 24 - Dec 7, 2026
Instructors
Das, S
-
Additional Information
Instruction Mode: In Person
ORIE 5750
Course Description
Learn and apply key concepts of modeling, analysis and validation from machine learning, data mining and signal processing to analyze and extract meaning from data. Implement algorithms and perform experiments ... view course details
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
ORIE 5820
Course Description
This course equips students with essential data-driven decision-making skills, integrating structured and unstructured data. It bridges classical modeling techniques with modern computational tools, emphasizing ... view course details
Regular Academic Session. Combined with: ORIE 4820
-
Credits and Grading Basis
3 Credits GradeNoAud(Letter grades only (no audit))
ORIE 5915
Course Description
A professional development course designed specifically for MEng students in ORIE. Through a series of panels and hands-on workshops, you will develop effective job search materials and participate in ... view course details
Regular Academic Session.
-
Credits and Grading Basis
1 Credit S/U NoAud(Satisfactory/Unsatisfactory (no audit))
ORIE 5925
Course Description
An interactive course in which students present findings and share lessons from their summer internship experiences. view course details
Project Session Full.
-
Credits and Grading Basis
1-2 Credits S/U NoAud(Satisfactory/Unsatisfactory (no audit))
-
Class Number & Section Details
-
Meeting Pattern
- Aug 24 - Dec 7, 2026
Instructors
Leeker, J
-
Additional Information
Instruction Mode: Independent Studies
Enrollment limited to: Operations Research and Information Engineering (ORIE) Master of Engineering (M.Eng.) students in their second or third semester. Â
ORIE 5980
Course Description
Initial segment of the Master of Engineering project experience, culminating in a project charter that details the problem statement, the data and resources to be used, and a work plan for the ... view course details
Seven Week - Second.
-
Credits and Grading Basis
1 Credit GradeNoAud(Letter grades only (no audit))
ORIE 5999
Course Description
Faculty-supervised project work that may involve independent readings, scholarly research, or an applied project in collaboration with a Cornell entity or an external partner organization. Students must ... view course details
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Opt NoAud(Letter or S/U grades (no audit))
Project Session Full.
-
Credits and Grading Basis
1-9 Credits Opt NoAud(Letter or S/U grades (no audit))
ORIE 6300
Course Description
Rigorous treatment of the theory and computational techniques of linear programming and its extensions, including formulation, duality theory, algorithms; sensitivity analysis; network flow problems and ... view course details
Regular Academic Session. Choose one lecture and one discussion.
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Shafiee, S
-
Additional Information
Instruction Mode: In Person
ORIE 6367
Course Description
The field of continuous optimization lies at the intersection of applied mathematics, operations research, and a wide range of scientific and engineering applications. In recent years, the rapid growth ... view course details
Regular Academic Session.
-
Credits and Grading Basis
3 Credits Opt NoAud(Letter or S/U grades (no audit))
ORIE 6500
Course Description
Introduction to stochastic processes that presents the basic theory together with a variety of applications. Topics include Markov processes, renewal theory, random walks, branching processes, Brownian ... view course details
Regular Academic Session. Choose one lecture and one discussion.
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- TR
- Aug 24 - Dec 7, 2026
Instructors
Henderson, S
-
Additional Information
Instruction Mode: In Person
ORIE 6700
Course Description
Topics include review of distribution theory of special interest in statistics: normal, chi-square, binomial, Poisson, t, and F; introduction to statistical decision theory; sufficient statistics; theory ... view course details
Regular Academic Session. Choose one lecture and one discussion.
-
Credits and Grading Basis
4 Credits Stdnt Opt(Letter or S/U grades)
-
Class Number & Section Details
-
Meeting Pattern
- MW
- Aug 24 - Dec 7, 2026
Instructors
Wu, Y
-
Additional Information
Instruction Mode: In Person
ORIE 7170
Course Description
Properties of the multivariate normal distribution. Distribution theory for quadratic forms. Properties of least squares and maximum likelihood estimates. Methods for fixed-effect models of less than full ... view course details
Regular Academic Session. Combined with: ILRST 7170, STSCI 7170
-
Credits and Grading Basis
3 Credits Stdnt Opt(Letter or S/U grades)
ORIE 7190
Course Description
Current research topics dealing with applications of operations research. view course details
Regular Academic Session.
-
Credits and Grading Basis
1-3 Credits Sat/Unsat(Satisfactory/Unsatisfactory)
ORIE 7999
Course Description
Independent research for ORIE Ph.D. students. view course details
ORIE 9000
Course Description
Weekly one and one-half hour meeting devoted to presentations by distinguished visitors, by faculty members, and by advanced graduate students on topics of current research in the field of operations ... view course details
Regular Academic Session.
-
Credits and Grading Basis
1 Credit Sat/Unsat(Satisfactory/Unsatisfactory)
