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Quantitative Operations Research - ZEIT8405
 Aerial View of ADFA

   
   
   
 
Campus: University College Campus
 
 
Career: Postgraduate
 
 
Units of Credit: 6
 
 
EFTSL: 0.12500 (more info)
 
 
Indicative Contact Hours per Week: 3
 
 
Enrolment Requirements:
 
 
Restricted to students enrolled in Graduate Diploma or Masters programs.
 
 
CSS Contribution Charge:Band 2 (more info)
 
   
 
Further Information: See Class Timetable
 
  

Description

This course carries on from OR Methods and trains students on the selection of appropriate techniques by describing the strengths and weaknesses of models and simulation, so that fit for purpose methods are applied to soluble problems. It will cover the algorithms used to solve hard OR problems including linear programming, transportation, assignment, integer programming, computational complexity including theory of NP-completeness, combinatorial optimisation, nonlinear optimisation, dynamic programming, goal programming, multiobjective optimisation, and heuristics.

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© The University of New South Wales (CRICOS Provider No.: 00098G), 2004-2011. The information contained in this Handbook is indicative only. While every effort is made to keep this information up-to-date, the University reserves the right to discontinue or vary arrangements, programs and courses at any time without notice and at its discretion. While the University will try to avoid or minimise any inconvenience, changes may also be made to programs, courses and staff after enrolment. The University may also set limits on the number of students in a course.