Handbook 1996 : Faculty of Science (Volume 4 page 211)
Mathematics subject : Next:618-291 | Prev:618-261 | Search | Help
618-262 "Decision-making" appears differently in several places - choose the one you want:
1. Mathematics, Faculty of Science (v4, p211) : Next:618-291 | Prev:618-261
Credit points: 12.0
Coordinator: Dr M Sniedovich.
Prerequisite: Mathematical Sciences 617-261 (1995 Handbook) or Mathematics 618-261.
Contact: 39 lectures (three a week)
Timetable: Second semester
Objectives:
On completion of this subject, students should:Comprehend:
- the essential features of decision-making situations encountered in operations research investigations;
- the difference between these situations and ordinary optimization problems;
- what kind of practical problems have these features;
- a number of basic mathematical approaches to such situations;
- techniques used to solve decision-making situations represented by these approaches; the theoretical foundations of these techniques;
- practical issues involved in the implementation of these techniques.
Have developed:
- basic skills required to construct formal mathematical models for practical decision-making situations;
- skills needed to solve a number of two-person games, including zero-sum and non-zero-sum games, cooperative and non-cooperative games, with the aid of linear and nonlinear programming techniques;
- skills to make use of the relationship between primal and dual problems and their respective optimal solutions in the context of zero-sum two-person games;
- skills in using linear programming and dynamic programming techniques in the solution of a number of multi-objective optimization problems;
- skills to evaluate rules for decision-making problems under strict uncertainty.
Appreciate:
- the complexity of decision-making situations encountered in operations research investigations;
- the subjective nature of what constitutes a solution to a problem of this type;
- the extent and limitations of a number of operations research techniques used to solve such problems;
- the important role that linear algebra and calculus play in the development of these techniques;
- the important role that computers play in solving problems of this type.
Content:
Decision analysis: a selection of topics in decision analysis, including single-stage and multi-stage decision models, in particular those using linear programmes; zero-sum games; preference relations and optimisation; multi-criteria decision making; decision trees. Use of computer packages on the Macintosh.
Assessment:
Up to 26 pages of written assignments and up to three hours of end-of-semester written examination.
1. Mathematics, Faculty of Science (v4, p211) : Next:618-291 | Prev:618-261
2. Math. & Stats., Faculty of Educ(Parkville) (v5, p148) : Next:618-311 | Prev:618-261
Note: It is not possible to gain credit for both 618-262 and the Mathematical Sciences subject 617-262 taught in previous years.
Credit points: 12.0
Coordinator: Dr M Sniedovich.
Prerequisite: Mathematical Sciences 617-261 (1995 Handbook) or Mathematics 618-261.
Contact: 39 lectures (three each week)
Timetable: Second semester.
Objectives:
On completion of this subject, students should:Comprehend:
- the essential features of decision-making situations encountered in operations research investigations;
- the difference between these situations and ordinary optimization problems;
- what kind of practical problems have these features;
- a number of basic mathematical approaches to such situations;
- techniques used to solve decision-making situations represented by these approaches; the theoretical foundations of these techniques;
- practical issues involved in the implementation of these techniques.
Have developed:
- basic skills required to construct formal mathematical models for practical decision-making situations;
- skills needed to solve a number of two-person games, including zero-sum and non-zero-sum games, cooperative and non-cooperative games, with the aid of linear and nonlinear programming techniques;
- skills to make use of the relationship between primal and dual problems and their respective optimal solutions in the context of zero-sum two-person games;
- skills in using linear programming and dynamic programming techniques in the solution of a number of multi-objective optimization problems;
- skills to evaluate rules for decision-making problems under strict uncertainty.
Appreciate:
- the complexity of decision-making situations encountered in operations research investigations;
- the subjective nature of what constitutes a solution to a problem of this type;
- the extent and limitations of a number of operations research techniques used to solve such problems;
- the important role that linear algebra and calculus play in the development of these techniques;
- the important role that computers play in solving problems of this type.
Content:
Decision analysis A selection of topics in decision analysis, including single-stage and multi-stage decision models, in particular those using linear programmes; zero-sum games; preference relations and optimisation; multi-criteria decision making; decision trees. Use of computer packages on the Macintosh.
Assessment:
Up to 26 pages of written assignments and up to three hours of end-of-semester written examination.
* Note that CONTACT, CONTENT, NOTE differs from the maintainer's version above. A log of variations is available.
2. Math. & Stats., Faculty of Educ(Parkville) (v5, p148) : Next:618-311 | Prev:618-261
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
Maintained by: Dept. of Mathematics, Faculty of Science.
Copyright © University of Melbourne 1995,1996.