Materials Science and Engineering Academic Learning Compact

In addition to the requirements imposed by the engineering accrediting body (ABET), all students in the State of Florida must be given an opportunity to achieve the program’s self identified Academic Learning Compact.
Read more about the Academic Learning Compact.

Examples of Assessment Results for Student Learning Outcomes 2008-2009

 

Student Learning Outcome #2

 

Design and conduct materials science and engineering experiments and analyze and interpret the data.
Evaluated in EMA 3080C Materials Laboratory 1, EMA 3013C Materials Laboratory 2, and EMA 4913 Research in Materials Science and Engineering 1

Example Assignment:

Index as many of the peaks as you can from the x-ray experiment shown on the class website. You may reduce the problem to two spectra, one at room temperature, and one sufficiently above 277°C. The original data is also available on the class website. You may use all tools at your disposal (including Crystal Maker and Crystal Diffract).

Assessment Statistics:

Percentage of students scoring at a level indicating acceptable performance or higher: 87%

Student Learning Outcome #3

 

Design a materials science and engineering system, component or process to meet desired needs within realistic economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability constraints.
Evaluated in EMA 3066 Introduction to Organic Materials, EMA4223 Mechanical Behavior of Materials, and EMA 4714 Materials Selection and Failure Analysis

Example Assignment:

The manager of a canned food processing plant is trying to decide between two labeling machines. Their respective costs and benefits are as follows:

Machine A Machine B
Initial Cost $15,000 $25,000
Yearly Maintenance and Operating Costs $15,000 $25,000
Annual Benefit $15,000 $25,000
Salvage Value $15,000 $25,000
Useful life, in years $15,000 $25,000

Assume an interest rate of 10%.

  • Draw the Cash Flow Diagram for the life of each machine
  • Use Present Worth Analysis to determine which machine should be selected

Assessment Statistics:

Percentage of students scoring at a level indicating acceptable performance or higher: 81%