ABET Outcomes - Definition

Department of Electrical and Computer Engineering

ABET Outcomes - Definition

• Skills students have at graduation


BSEE Outcomes

• EE1 - knowledge of probability and statistics, including applications• EE2 - knowledge of mathematics, basic and engineering sciences necessary to analyze

and design complex systems• EE3 - knowledge of advanced mathematics including linear algebra, complex variables

and discrete mathematics• a - an ability to apply knowledge of mathematics, science, and engineering• b - an ability to design and conduct experiments, as well as to analyze and interpret data• c - an ability to design a system, component, or process to meet desired needs• d - an ability to function on multi-disciplinary teams• e - an ability to identify, formulate, and solve engineering problems• f - an understanding of professional and ethical responsibility• g - an ability to communicate effectively• h - the broad education necessary to understand the impact of engineering solutions in a

global and societal context• i - a recognition of the need for, and an ability to engage in life-long learning• j - a knowledge of contemporary issues• k - an ability to use the techniques, skills, and modern engineering tools necessary for

engineering practice


ABET Processes - Outcomes

• Course Committees are key

• Faculty Review Data, Set Standards, Control Content

BSEE Program

Faculty

Individual Courses

Course Committees

Direct and Indirect Assessment Data

ABET Comm ittee

Curriculu m Comm ittee

Indire ct Da ta Course Evaluations Grade Distributions Focus Groups Exit Surveys

Depar tmen t Chair


Lessons Learned from Visit

• Monitor continuously

• Parse all words carefully

• Define Outcomes

• New instructors, course revision, can lose ABET related material• Statistics in Electronics


ABET Syllabi

• Define what outcomes mean in the class:

• EE1 - knowledge of probability and statistics, including applications: Fermi-Dirac, Boltzmann statistics with applications in terms of band occupancy are covered and tested.

• EE2 - knowledge of mathematics, basic and engineering sciences necessary to analyze and design complex systems: Differential equations and solid state physics are used to design semiconductor devices meeting certain specifications.

• a - an ability to apply knowledge of mathematics, science, and engineering: Charge transport equation and carrier continuity equations are covered and tested.

• c - an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability: Students were asked to design transistors for meeting specific targets.

• e - an ability to identify, formulate, and solve engineering problems: For example , students were asked to optimize photo-diodes and solar cells.

• k - an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice: Graphs, calculators, and the literature are used to address the engineering of semiconductor devices.


Issues

• Math Skills

• Senior Design Overload

• Retention / Recruitment (More Next Segment)


Math Preparation - Outcome a

• Assessment has indicated problems in 3111 / 3135Fall 2005 Spring 2006

Average % achieve Average % achieve

3111C 3.12 85% 3.06 93%

3135 3.31 92% 3.2 91%

3472 3.27 92% 3.47 92%

• Lowest evaluation in the curriculum

• Reorganize curriculum

• Drop EGM 4351

• Restructure 3135 and 3112


3105 - Analytic Methods in EE

• 3 credits

• Application of calculus to develop the analytical tools used in electrical engineering. Real and complex functions and polynomials; linear spaces, linear transformations, matrices, eigenvalue problem; linear differential operators; approximation, including least squares, interpolation, and approximation by polynomials.

• Coreq - Differential Equations, 3135

• Offered first in Fall 2006


3135 Intro to Signals and Systems

• 3 credits

• Continuous-time and discrete-time signal analysis including Fourier series and transforms; sampling; continuous-time and discrete-time linear system analysis with emphasis on FIR and IIR systems: impulse response, frequency response, and system function.

• Coreq - Differential Equations, 3105


3112 Circuits, Systems, and Signals

• 4 credits

• Continuous-time signals and linear systems: Fourier series and transforms, frequency response, Laplace transform and system function, analog filters; emphasis on electrical circuits. Sampling. Discrete-time signals and systems; time- and frequency-domain analysis; sampled-data systems and design of digital filters.

• Prereq - 3105, 3135


New Scores in Outcome a

• Fall 2006 Spring 2007

• Average % achieve Average % achieve

• 3111C 4.23 95%

• 3105 3.28 83% 3.83 99%

• 3135 3.3 88% 3.98 83%

• 3472 3.65 100% 3.46 94%

• 05/06 Average was 3.24 with 91% achieve

• 06/07 Average was 3.67 with a 92% achieve

• Some evidence of improvement!


Junior Design

• New course for Fall 2006

• Cover much of the background

• Scheduling / Documentation / Patent

• Sample Designs / Teamwork

• Working on evaluation metrics

• Initial unscientific results have been very favorable

• Request in to increase hours to degree

• Otherwise it will come out of technical electives


Senior Design

• Critical for ABET - monitor nearly all outcomes in senior design

• Lot to cover and include

• Some evidence for improved results in SD from JD

• Exit surveys have suggested JD is a real plus

ABET Outcomes - Definition

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