shaping the technology of tomorrow a repeatable and reproducible approach for improving retention...
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Shaping the Technology of Tomorrow
A Repeatable and Reproducible Approach for Improving Retention and Graduation Rates of Underrepresented Minorities and Women in EE
Best Practices Conference
Southern Methodist UniversityFebruary 28-29, 2008Dallas, TX
Rolando Quintana & Mehdi ShadaramUniversity of Texas at San Antonio
Shaping the Technology of Tomorrow
Objectives of the Project
1. Increase the number of Hispanics, with an emphasis on Hispanic females in the Electrical Engineering workforce
2. Increase the undergraduate retention rate of Hispanic EE students (supports objective 1)
3. Increase the number of Hispanic students entering the EE discipline with active recruiting strategies (supports objective 1).
Shaping the Technology of Tomorrow
TETC Grant (A Holistic Approach)
H.S.
EE 2513
EE 2423
EGR 1303
EE 4813
STA 3533Gatekeeper
Key Course
100
70
53
3939
32
CQI Feedback:Grade
Student EvaluationFaculty Evaluation
Advisory Board Evaluation
Employer SurveyAdvisory Board SurveyFaculty SurveyPerformance on Rubrics
Retention Feedback by Strata:GenderEthnicity
Shaping the Technology of Tomorrow
Strategies
• Pre-College ActivitiesScience and Math TeachersStudentsCounselors
• “Just in Time Math” Course• Key Courses
EE 1323 – Intro to EE professionEE 4813 – Senior Design Project
• Gatekeeper CoursesEE 2423 Network AnalysisEE 2513 Logic DesignSTA 3533 Probabilities and Statistics
Shaping the Technology of Tomorrow
Strategies
• Gate Keeper Course Intervention– Pre-semester Workshop for Peer Facilitators– Visual Pedagogy
• Freshman Intervention– First and Second Semester Freshman EE
Classes and Laboratories– Visual Pedagogy– Filed Trips– Research Experience
• Pre-College Activities– Teachers Workshop– Offering Double Credit Classes– EE Students Presentations in HS's (Senior
Projects)– Summer Research Camps
Shaping the Technology of Tomorrow
NAP
Internet Structure
• a packet passes through many networks!
Tier 1 ISP
Tier 1 ISP
Tier 1 ISP
Tier-2 ISPTier-2 ISP
Tier-2 ISP Tier-2 ISP
Tier-2 ISP
localISPlocal
ISPlocalISP
localISP
localISP Tier 3
ISP
localISP
localISP
localISP
USA
China
Shaping the Technology of Tomorrow
Some common sampling rates for sound:
CD’s: 44,100 samples per second
Human speech: 10,000 samples per second
Low quality audio: Less than 6,000-8,000 samples per second
Using Bits to Store Samples: Quantization
Shaping the Technology of Tomorrow
Binomial Distribution (STA 3533)
• Binomial Distribution: A Bernoulli trial can result in a success with probability p and a failure with probability q = 1 - p. Then the probability distribution of the binomial random variable X, the number of successes in n independent trials, is
b (x; n, p) = x = 0, 1, 2, . . . , n.
• Note that when n = 3 and p = 1/4 (as in the previous problem), the probability distribution of X, the number of defectives, may be written as x = 0, 1, 2, 3.
,xnxqpx
n
b xx
x x
; , ,31
4
3 1
4
3
4
3
Windows Media Audio/Video file
Shaping the Technology of Tomorrow
Summer Activities for HS Students
Shaping the Technology of Tomorrow
Summer 2007 Interns
120+ area HS students applied for participating in research laboratories in the College of Engineering
60 students were selected
Shaping the Technology of Tomorrow
Summer 2007 HS Students Survey
• 30 Seniors, 25 Juniors, and 5 Sophomores• 75% Female, 77% Underrepresented• After Summer, 90% of all showed interest in
engineering/science• Before Summer, 65% showed interest in
engineering, after summer 83%• 83% of HS graduates applied to at least one
college, majority got accepted• UTSA was in the list of 80% of participants
Interested in Engineering/Science
Shaping the Technology of Tomorrow
Teachers Workshop
Shaping the Technology of Tomorrow
(Example) A Digital Image
• Matrix: An array of numbers
A =
101134
5610
751214 3 rows and 4 columns
• Elements: A(i,j) , i and j are integers
i denotes the Row index and j denotes the Column index– Examples: A(2,3) = 6, A(1,4) = 7, A(3,4) = 10
Shaping the Technology of Tomorrow
k = -50
k = 50
Manipulation of a Digital Image
B(i,j) = A(i,j) + kk = constant
(expressed as a table)
Brightness Mapping
Shaping the Technology of Tomorrow
Manipulation of a Digital Image
s > 1
s < 1
s > 1 and k < 0
s < 1 and k > 0
Contrast Mapping
Shaping the Technology of Tomorrow
Example: Contrast and Brightness
• Formula: B(i,j) = s • A(i,j) + k• This is easy to do!
Higher contrast
Higher contrast
with lower brightness
Shaping the Technology of Tomorrow
Current Activities
• CPS-UTSA-SAISD Agreement (06-07)
Sam Houston HS
• CPS-UTSA-SAISD (Sam Houston HS)-NEISD (Roosevelt HS)-ECISD (East Central HS) 2007-2008
• PREP Program
• MOU with John Jay Science and Engineering Academy
• MOU with NEISD T-STEM Program
• Alamo Texas Educators Association
Shaping the Technology of Tomorrow
Results
Data for Students Taking the Old STA 3533 (Before Fall 2006)Class Average Pass Rates (“C” or better)
Mean STDEV
EE 4653 Digital Comm. 72.3% 24.8 71%
EE 4613 Comm. Sys 70.6% 23.1 74%
Data for Students Taking the Revised Visual Pedagogy-Based STA 3533 (Fall 2006 and beyond)
Class Average Pass Rates (“C” or better)
Mean STDEV
EE 4653 Digital Comm. 78.6% 17.3 84%
EE 4613 Comm. Sys 79.1% 15.8 86%
Shaping the Technology of Tomorrow
Results: Retention Rates
• Fall 2004 CohortFirst Year CoE Second Year CoE
CE 60.0% 48.0%EE 55.6% 25.9%ME 59.4% 36.2%
• Fall 2005 CohortFirst Year CoE First Year Overall
CE 57.8% 73.3%EE 64.5% 79.0%ME 60% 65.6%
Shaping the Technology of Tomorrow
AY CE EE ME Total
06-07 42 98 56 196
05-06 48 65 51 164
04-05 30 83 49 162
03-04 29 80 46 155
02-03 23 61 39 123
01-02 33 47 33 113
00-01 38 46 21 105
Results: BS Degrees Confirmed
Shaping the Technology of Tomorrow
The Biggest Challenges
• Disseminating Information to area schools
• Getting faculty to participate (mainly during Summer)
• Getting approvals
• Data collection
• Motivating students
• Identifying the right instructor
Shaping the Technology of Tomorrow
QUESTIONS?