Courses & Units
Operations Research 3 KMA355
Introduction
Unit Description This unit develops skills in the optimization of real-world deterministic or probabilistic systems, and is particularly useful for students interested in careers in Engineering, Management, Finance, Economics and Teaching. Topics from: Deterministic and Probabilistic Operations Research Models, with the focus on developing the ability to solve practical problems using MATLAB and other numerical tools. Probability, Deterministic Dynamic Programming, Probabilistic Dynamic Programming, Queueing Theory, and Simulation. Throughout this course, you will develop problem-solving and analytical skills. You will learn to apply a range of Operations Research models to practical problems which involve decision-making and planning. This unit is within the major: Statistics and Decision Science (Bachelor of Science). This unit develops skills in the optimization of real-world deterministic or probabilistic systems and is particularly useful for students interested in careers in Engineering, Management, Finance, Economics and Teaching. Topics from: Deterministic and Probabilistic Operations Research Models, with the focus on developing the ability to solve practical problems using MATLAB and other numerical tools. Probability, Deterministic Dynamic Programming, Probabilistic Dynamic Programming, Queueing Theory, and Simulation. Throughout this unit you will develop problem-solving and analytical skills. You will learn to apply a range of Operations Research models to practical problems which involve decision-making and planning. This unit is within the major: Statistics and Decision Science (Bachelor of Science).
Summary
| Unit name | Operations Research 3 |
|---|---|
| Unit code | KMA355 |
| Credit points | 12.5 |
| College/School | College of Sciences and Engineering School of Natural Sciences |
| Discipline | Mathematics |
| Coordinator | Associate Professor Malgorzata O'Reilly |
| Available as an elective? | Yes |
| Delivered By | |
| Level | Advanced |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 22/7/2024 | 16/8/2024 | 9/9/2024 | 27/10/2024 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2024 are indicative and subject to change. Finalised census dates for 2024 will be available from the 1st October 2023. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Construct operations research models using Dynamic Programming, Queuing Theory, and Simulation, for real-world situations.
- Apply problem-solving and analytical techniques from Dynamic Programming, Queuing Theory, and Simulation, for the numerical analysis of real-world problems.
- Use mathematical language and notation to communicate the methodology of Operations Research to peers.
- State and use formal definitions and properties of fundamental mathematical structures of Operations Research in a rigorous manner.
Fee Information
The 2024 Commonwealth Supported Place (CSP) rates are still being finalised by the Government and we will update the domestic fee information as soon as we have more details.
Requisites
Prerequisites
Any intermediate (200 coded) KMA unitTeaching
| Assessment | Demonstration (10%)|Examination (40%)|Assignment (multiple) (50%) |
|---|---|
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
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