1Translate performance attributes in a given design to the corresponding nominal material properties.

2Derive and apply material indices to materials selection for single- and multi-objective designs using the CES materials database and software tools.

3Specify manufacturing processes for a given component design (material, shape, production rate) using basic cost modeling.

4Apply a computational model for simulating a materials production and/or processing operation.

5Quantify material properties, processing and performance variability using statistical methods. Examples: error analysis, probability distributions, sampling theory, statistic intervals and statistical process control charts.

6Perform basic calculations for engineering cost analysis and use those results to make choices among trade-offs in product design or process operation.

7Locate and evaluate design information for specific materials and processes. Examples: testing standards, processing specifications, commercial data and patents.

8Apply quantitative trade-off strategies in selection of materials for designs with conflicting objectives.

9Apply computational models for materials production and/or processing operations to predict interactive effects of inputs on material quality, production rates, cost minimization, and environmental impact.

10Optimize material and process selection simultaneously, based on refined functional relationships between processing, properties and costs.