Applied Operations Research

Subject 620-362 (2008)

Note: This is an archived Handbook entry from 2008.Search for this in the current handbookSearch for this in the current handbook

Credit Points: 12.500
Level: Undergraduate
Dates & Locations:

This subject has the following teaching availabilities in 2008:

Semester 2, - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable


Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 lectures (three per week) and up to 12 practice classes (one per week)
Total Time Commitment: 120 hours
Prerequisites: 620-361 or 620-262. Also recommended is [07]620-131 or one of computer science [07]433-152 or [07]433-172.
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.

Coordinator

A/Prof N Boland
Subject Overview:

This subject develops problem-solving skills and sharpens analytical skills. Students will work in groups, tackling unfamiliar problems. Each team will plan their project work and deliver oral and written presentations.

This subject introduces the technical issues involved in applying operations research principles, methods and algorithms in the solution of real-world problems, and the practical aspects of group projects in operations research. Students should develop the ability to apply various operations research methods, algorithms and software in the solution of practical problems; and to participate successfully in group projects in operations research, including preparing reports and giving presentations. This subject demonstrates the scope and limitation of operations research methods, algorithms and software as far as solving practical problems is concerned. It also exhibits the practical issues and difficulties involved in group projects in operations research.

Practical and technical aspects of various operations research methods for linear programming, integer programming and combinatorial optimisation are covered, including topics selected from complexity, interior point methods, cutting planes, branch-and-bound, meta-heuristics, special heuristics and constraint logic programming. Students examine applications in vehicle routing, facility location, cutting stock, manpower planning, and machine scheduling and other logistics problems; and become familiar with operations research software.

Assessment: Up to 50 pages of written assignments due during the semester (35%); a group project during the semester with a 15-minute oral presentation and a written report of up to 50 pages (40%); a 90-minute written test held mid-semester (25%).
Prescribed Texts: None
Breadth Options: This subject is a level 2 or level 3 subject and is not available to new generation degree students as a breadth option in 2008.
This subject or an equivalent will be available as breadth in the future.
Breadth subjects are currently being developed and these existing subject details can be used as guide to the type of options that might be available.
2009 subjects to be offered as breadth will be finalised before re-enrolment for 2009 starts in early October.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Notes: This subject is available for science credit to students enrolled in the BSc (pre-2008 degree only), BASc or a combined BSc course.
Related Course(s): Bachelor of Arts
Bachelor of Arts and Bachelor of Science
Bachelor of Arts and Sciences
Bachelor of Science

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