Operations Research 1

Course code MATH2730Units 10Level 2000Faculty of Science and Information TechnologySchool of Mathematical and Physical Sciences

Often known as the 'science of better', Operations Research (OR) is the cornerstone of effective decision making. OR has enhanced organizations and experiences all around us. From more cost effective scheduling of airline crews to the design of less intrusive cancer radiation therapy treatments, from two-person start-ups to Fortune 500 companies, from global resource planning decisions to optimizing local postal delivery routes, all benefit directly from OR.

This course introduces students to the fundamental problems in OR and the essential mathematical modelling theory and techniques needed to make more effective decisions and build more productive systems. As well as surveying general techniques, the subject will focus on a number of illustrative case studies. Throughout, use will be made of relevant widely used software packages.

Available in 2015

Callaghan CampusSemester 1
Previously offered in 2014
ObjectivesOn successful completion of this course, students will have:

1.A basic understanding of quantitative techniques used to help in the management of business, industrial and organisational operations and projects.
2.An appreciation of the use of a mathematical optimisation model as a way of encapsulating and analysing a complex situation.
3.Developed an approach to problem-solving that is both analytical and flexible.
ContentThe course will cover three main areas:
1. Linear programming, including sensitivity analysis and an introduction to duality;
2. Network optimisation; and
3. Integer programming.
For each topic, applications, modelling, and methods will be explored. Appropriate software packages for modelling and solutions of problems will be covered.
Replacing Course(s)n/a
Industrial Experience0
Assumed KnowledgeAt least one of the following courses: MATH1110, MATH1210, MATH1510, ECON1130, STAT1060, STAT1070.
Modes of DeliveryInternal Mode
Teaching MethodsLecture
Computer Lab
Assessment Items
Essays / Written Assignments
Examination: Formal
Contact HoursComputer Lab: for 1 hour(s) per Week for Full Term
Lecture: for 3 hour(s) per Week for Full Term
Timetables2015 Course Timetables for MATH2730