Operations Research & Information Engineering (ORIE)Engineering

Showing 8 results.

Course descriptions provided by the Courses of Study 2018-2019.

ORIE 3300

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

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one laboratory. Combined with: ORIE 5300

  • 4 Credits Graded

  •  1194ORIE 3300  LAB 401

ORIE 3310

A variety of optimization methods stressing extensions of linear programming and its applications but also including topics drawn from integer programming, dynamic programming, and network optimization. ... view course details

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one laboratory. Combined with: ORIE 5310

  • 4 Credits Stdnt Opt

  •  1198ORIE 3310  LAB 401

ORIE 3500

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

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 5500

  • 4 Credits Graded

  •  1202ORIE 3500  DIS 201

ORIE 3510

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include the Poisson process, Markov chains, renewal theory, models for ... view course details

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 5510STSCI 3510

  • 4 Credits Stdnt Opt

  •  1206ORIE 3510  DIS 201

ORIE 5300

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

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one laboratory. Combined with: ORIE 3300

  • 4 Credits Graded

  •  1196ORIE 5300  LAB 401

ORIE 5310

A variety of optimization methods stressing extensions of linear programming and its applications but also including topics drawn from integer programming, dynamic programming, and network optimization. ... view course details

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one laboratory. Combined with: ORIE 3310

  • 4 Credits Graded

  •  1200ORIE 5310  LAB 401

ORIE 5500

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

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Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 3500

  • 4 Credits Graded

  •  1203ORIE 5500  LEC 001

ORIE 5510

Uses basic concepts and techniques of random processes to construct models for a variety of problems of practical interest. Topics include the Poisson process, Markov chains, renewal theory, models for ... view course details

View Enrollment Information

Enrollment Information
Syllabi: none
  •   Summer Special Session 2.  Choose one lecture and one discussion. Combined with: ORIE 3510STSCI 3510

  • 4 Credits Stdnt Opt

  •  1210ORIE 5510  DIS 201