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Electrical Engineering Assessment

 

Program Assessment

 

The initial preparation for ABET EC2000 accreditation can be dated back to the Fall 1999 semester, when a committee was formed by the Dean of the College of Engineering (CoE) at Southern University, and a college-wide assessment coordinator was named to chair the committee.  This committee was charged with the task of developing a comprehensive outcomes assessment program for the CoE. In light of the recommendations made by many accrediting agencies, including ABET, regarding the requirement for an institutional outcomes assessment program, the college presented the preliminary results of its program to the Engineering Council of Visitors (ECoV) in the Spring 2001 semester. The proposed program was reviewed and subsequently approved by the ECoV.  Consequently, each program in the CoE adopted the overall outcomes assessment framework and tailored it to the Program's individual mission.  A sourcebook was developed to introduce the outcomes assessment model for all programs.

 

 

As we continue to improve the assessment process, the College of Engineering and Computer Science has now adopted to use LiveText as the assessment management tool. In the Spring 2010 semester, an assessment committee was established to plan and enhance the assessment system for the college.

Constituents

The constituents of the EE program are:

1. Students

2.  Faculty 

3. Industry

4. Alumni

 

The program is evaluated in consultation with these various constituents.  The results of such evaluations are used to formulate revisions to the program.

 

Expected Level of Attainment of Student Learning Outcome

The overall cyclic outcomes assessment process is illustrated in the figure below. The process starts with collecting assessment data for each outcome by using analytic rubrics to assess student performance. These data generated in LiveText may include assessed student work from selected courses, senior design projects, from surveys of graduating exit surveys. A threshold for performance is set where the assessment data are evaluated to determine the expected level of attainment of each outcome starting above the apprentice level.