This course builds on ENGN2225 Systems Engineering Design. Systems analysis is an important part of the overall interdisciplinary systems engineering approach. This course will show students how to utilise systems analysis for effective design evaluation, and as a means for improving and optimising existing systems.  

Specific topics include:

• Probabilistic and statistical approaches to engineering systems analysis
• Models in decision making and decision analysis; design-dependent and design-independent parameters
• Optimization in design and operations
• Queuing theory and analysis
• Control concepts and methods (critical path method, PERT)
• Design for reliability; measures and analysis methods
• Design for maintainability; measure of effectiveness and maintainability in the system life-cycle
• Design for affordability; life-cycle costing

The learning objectives for this course are to:

1. Provide all students with a strong basis in probabilistic analysis and statistics.
2. Provide an indication of how these concepts can be applied to a key systems analysis problems.
   • Estimation (Model identification)
   • Regression (Predicting system response)
   • Decision theory (Making decisions based on noisy data)
3. Ensure all students are are competent in the use of statistical and modelling tools.

Problem-based tutorials (25%); Systems Analysis laboratory (20%); Midsemester exam (15%);
Final exam (40%).

ENGN2225 and 12 units of MATH

Corse page http://eng.anu.edu.au/study/currentstudents/courses