Transcript Outcome Data - University of Florida

ABET Outcomes - Definition
• Skills students have at graduation
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering
ABET Processes - Outcomes
BSEE
Program
Individual
Courses
Direct and Indirect
Assessment Data
Faculty
Curriculu m
Committee
•
•
Course
Committees
Indirect Data
Course Evaluations
Grade Distributions
Focus Groups
Exit Surveys
Department
Chair
ABET
Committee
Course Committees are key
Faculty Review Data, Set Standards, Control Content
Department of Electrical and Computer Engineering
Lessons Learned from Visit
•
•
•
•
Monitor continuously
Parse all words carefully
Define Outcomes
New instructors, course revision, can lose ABET related
material
• Statistics in Electronics
Department of Electrical and Computer Engineering
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.
Department of Electrical and Computer Engineering
Issues
• Math Skills
• Senior Design Overload
• Retention / Recruitment (More Next Segment)
Department of Electrical and Computer Engineering
Math Preparation - Outcome a
• Assessment has indicated problems in 3111 / 3135
Fall 2005
Average
3111C 3.12
3135
3.31
3472
3.27
•
•
•
•
% achieve
85%
92%
92%
Spring 2006
Average % achieve
3.06
93%
3.2
91%
3.47
92%
Lowest evaluation in the curriculum
Reorganize curriculum
Drop EGM 4351
Restructure 3135 and 3112
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering
New Scores in Outcome a
•
•
•
•
•
•
Fall 2006
Average
3111C
4.23
3105
3.28
3135
3.3
3472
3.65
% achieve
95%
83%
88%
100%
Spring 2007
Average
% achieve
3.83
3.98
3.46
99%
83%
94%
• 05/06 Average was 3.24 with 91% achieve
• 06/07 Average was 3.67 with a 92% achieve
• Some evidence of improvement!
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering
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
Department of Electrical and Computer Engineering