ENG6805 · Statistical data processing and operations research

Overview

This unit introduces the basic engineering statistical analysis and operations research techniques for engineers. Topics include modelling data, statistical inferences, correlations and simple linear regressions, linear programming, Simplex Method for linear programming, Duality Theory, and Sensitivity Analysis. The unit is oriented towards industrial engineering applications rather than mathematical development.

Offerings

Assessment

The Handbook lists an examination for this unit.

Continuous assessment: 50% Final assessment: 50% Final grades: PGO (pass grade only) or NGO (fail) This unit contains threshold hurdle requirements that you must achieve to be able to pass the unit. You are required to achieve at least 45% in the total continuous assessment component and at least 45% in the final assessment component. The consequence of not achieving a hurdle requirement is a fail grade (NGO).

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Apply operational research methods to problems in a system.
2. Apply data analysis using statistical methods in a system.
3. Design and justify statistical ideas and concepts for improving the efficiency of a system.
4. Design an efficient system by utilising computer-based statistics, operations research modelling and data analysis.

Workload

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.

Student experience, not official rules. Nothing here changes what the Handbook says.