Handbook 1996 : Faculty of Science (Volume 4 page 214)
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618-360 "Applied Operations Research" appears differently in several places - choose the one you want:

1. 618-360 Mathematics, Faculty of Science.
2. 618-360 Math. & Stats., Faculty of Educ(Parkville).

1. Mathematics, Faculty of Science (v4, p214) : Next:618-361 | Prev:618-352

618-360 Applied Operations Research

Credit points: 15.0

Coordinator: Dr N Boland

Prerequisite: Mathematics 618-361. Also recommended are one of Mathematical Sciences 617-141, 617-142, 617-160 (1995 Handbook) or Computer Science 433-141; Mathematics 618-262; Statistics 619-360.

Contact: 39 lectures (three a week)

Timetable: Second semester

Objectives:

On completion of this subject, students should:

Comprehend:

• the issues involved in applying operations research principles, methods, and algorithms in the solution of real-world problems;
• the technical issues involved in using and developing operations research software for practical problems;
• the practical aspects of group projects in operations research.

Have developed:

• skills to apply various operations research methods and algorithms in the solution of practical problems;
• skills to participate successfully in group projects in operations research, including preparing reports and giving presentations;
• skills to use commercial operations research software in the solution of practical problems.

Appreciate:

• the scope and limitation of operations research methods and algorithms as far as solving practical problems is concerned;
• the scope and limitations of commercial operations research software as far as solving practical operations research problems is concerned;
• the practical issues and difficulties involved in group projects in operations research.

Content:

Operations Research Methods and Techniques: practical aspects of various operations research methods such as linear programming, integer programming, dynamic programming, and nonlinear programming, decision trees, and issues involved in their applications. Project: individual and group projects in operations research and appropriate computer usage. Principles of computerised mathematical modelling paradigms: selected topics from Matrix generators; mathematical modelling languages; array oriented languages; constraint logic programming, and report generators. Software: familiarisation with operations research software in the solution of practical problems. Software packages will cover a selection from the following areas: linear, integer, and nonlinear programming; project management; network problems; scheduling problems; simulation; dynamic programming; branch and bound, and constraint logic programming.

Assessment:

Up to 52 pages of project reports and written assignments, and up to two hours mid-semester test.

1. Mathematics, Faculty of Science (v4, p214) : Next:618-361 | Prev:618-352

2. Math. & Stats., Faculty of Educ(Parkville) (v5, p149) : Next:618-361 | Prev:618-352

618-360 Applied Operations Research

Credit points: 15.0

Coordinator: Dr N Boland.

Prerequisite: Mathematics 618-361. Also recommended are one of Mathematical Sciences 617-141, 617-142, 617-160 (1995 Handbook) or Computer Science 433-141; Mathematics 618-262; Statistics 619-360.

Contact: 39 lectures (three each week)

Timetable: Second semester.

Objectives:

On completion of this subject, students should:

Comprehend:

• the issues involved in applying operations research principles, methods, and algorithms in the solution of real-world problems;
• the technical issues involved in using and developing operations research software for practical problems;
• the practical aspects of group projects in operations research.

Have developed:

• skills to apply various operations research methods and algorithms in the solution of practical problems;
• skills to participate successfully in group projects in operations research, including preparing reports and giving presentations;
• skills to use commercial operations research software in the solution of practical problems.

Appreciate:

• the scope and limitation of operations research methods and algorithms as far as solving practical problems is concerned;
• the scope and limitations of commercial operations research software as far as solving practical operations research problems is concerned;
• the practical issues and difficulties involved in group projects in operations research.

Content:

Operations Research Methods and Techniques Practical aspects of various operations research methods such as linear programming, integer programming, dynamic programming, and nonlinear programming, decision trees, and issues involved in their applications. Project Individual and group projects in operations research and appropriate computer usage. Principles of computerised mathematical modelling paradigms Selected topics from Matrix generators; mathematical modelling languages; array oriented languages; constraint logic programming, and report generators. Software Familiarisation with operations research software in the solution of practical problems. Software packages will cover a selection from the following areas: linear, integer, and nonlinear programming; project management; network problems; scheduling problems; simulation; dynamic programming; branch and bound, and constraint logic programming.

Assessment:

Up to 52 pages of project reports and written assignments, and up to two hours mid-semester test.

* Note that CONTACT, CONTENT differs from the maintainer's version above. A log of variations is available.

2. Math. & Stats., Faculty of Educ(Parkville) (v5, p149) : Next:618-361 | Prev:618-352

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Status:          Official 1996
Date created:    Oct  9 1995
Last modified:   Oct  9 1995
Authorised by:   Academic Registrar
Email enquiries: Course_Information@registrar.unimelb.edu.au

Copyright © University of Melbourne 1995,1996.