| Graduate Certificate in Applied
Statistical Strategies |
| The Graduate Certificate in Applied Statistical
Strategies offers recognition of your for-credit, graduate-level training in
statistical methods. You can earn
this certificate through a combination of traditional on-campus courses, online
courses, and/or an intensive three-week short course.
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What Recent Recipients Say about the
Certificate Program:
Ning He (Fall, 2007)
I received the Certificate from the
University Registrar yesterday. Wow, it was so fast and
beyond my expectation. My family is excited to see the
Certificate. Though I chose only one course per semester, I
learned much about statistics. Also, I like the online system
which made my schedule more flexible. This program provides us,
who are not in the major, a good chance to know what is and how to use
statistics. I will highly recommend it to my friends. I
highly appreciate the effort from you and the other professors.
Joe Staven, Plan Automation Analyst (Spring,
2006)
The Certificate Program has not only
helped me advance my career and professional credentials, it's given
me foundational statistical understanding and tools to address the
data challenges and problems in business and society today. The
classes were very helpful in introducing a broad range of applied
statistical techniques as well as concentrating extensively on
essential practical skills through research and projects. The
classes were well taught, the professors were very helpful and
available, and the material and skills have been valuable to me in
pursuing a career in data analytics. I highly recommend this
certificate program.
Gary E. Erickson, Configuration Aerodynamics
Branch, NASA Langley Research Center (Spring, 2006)
The wind tunnel testing community in
academia, industry, and the federal government strives for the highest
quality
and reproducibility of experimental data obtained on ground, air, and
space vehicles. The knowledge and insights
that are gained from the application of advanced statistical methods to
data obtained from formally-designed experiments are key elements in the
development of future commercial and military vehicles. As an
experimental aerodynamicist involved in subsonic, transonic, and
supersonic wind tunnel testing, it is essential that I have a solid
background in statistical methods and experimental design. The Graduate
Certificate Program in Applied Statistical Strategies offered by the
Department of Statistics at the University of Tennessee, Knoxville,
provided an opportunity to obtain the desired formal educational training
in statistics, regression analysis, design of experiments, and data mining
that are extremely useful in my day-to-day professional activities. The
quality of the courses, the instruction provided by the Statistics
Department faculty, and the Centra on-line live presentation format was
exceptional. The on-line format and the scheduling of the classes allowed
me to participate in the four courses required by the certificate program
in a seamless manner with my full-time employment. The UTK Statistics
Department Graduate Certificate Program serves an invaluable role to
students and professional alike who must apply advanced statistical
methods in the classroom and working environments.
** Opinions expressed in this email are strictly those of the author and
do not constitute an endorsement by the
federal government.
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The Certificate requires successful completion
(average of B or better) of four applied statistics courses, to include:
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Stat
571, Statistical Methods*
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Stat
572, Applied Regression Analysis*
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and two other courses, which may be selected from:
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Stat
566: Statistical Techniques in Industrial Processes
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Stat
567: Applied Reliability
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Stat
573: Design of Experiments*
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Stat 574: Data
Mining* |
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Stat
575: Applied Time Series
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Stat
578: Categorical Data Analysis
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Stat
579: Applied Multivariate Methods* |
* These courses may be taken on campus or via
distance mode, using UT Outreach & Continuing Education’s award-winning
Web-based Cyberclass technology. Other
courses are presently offered on-campus, only.
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If
you are not already enrolled in a graduate program at U.T., then make regular
application to the Graduate School electronically at http://web.utk.edu/~gsinfo/
with the following information:
- Under Major, enter Applied
Statistical Strategies
- Under Degree, enter Certificate
 |
Follow the instructions for submitting
transcripts and the $35 processing fee (no GRE or letters of recommendation
required). |
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Completed applications are forwarded to the
Statistics Department, and you will be informed when you are accepted into the
program. Then you may register for
courses (see below).
|
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Upon satisfactory completion of the four courses
(which must be done within six years), obtain from the Graduate School and fill
out the Completion of Certificate Program form and obtain signatures of
Dr. Mary Sue Younger (msyounger@utk.edu),
Program Coordinator, and Dr. Kenneth Gilbert, Department Head.
The Graduate School will produce a certificate for you. |
| If
you are already enrolled in a graduate degree program at U.T., then simply obtain
and complete the Completion of Certificate Program
form described in the paragraph above. |
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Register
for courses online at Circle Park Online:
http://cpo.utk.edu/
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On-Campus
Sections
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Typical offerings of
on-campus sections
| Course |
Semester |
Current Sections
(2007) |
| Stat
566: Statistical Techniques in Industrial Processes
|
Fall |
001, TR 2:10 - 3:25 pm, PHY 306, Leitnaker |
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Stat 567: Analysis of Lifetime Data |
Fall |
001, TR 5:05 - 6:20, SMC 305, Leon |
| Stat
571: Statistical Methods |
Fall
|
001, TR 3:40 - 4:55, PER 60, Leon |
|
Stat 572: Applied Regression Analysis |
Spring |
001, TR 3:30 - 4:55 pm, HSS 206, Younger |
| Stat
573: Design of Experiments |
Spring |
001, TR 5:05 - 6:20 pm, HSS 112, Mee |
| Stat
575: Applied Time Series |
Spring |
001, TR 2:10 - 3:25 pm, HSS 102, Seaver |
| Stat
578: Categorical Data Analysis |
Spring |
001, TR 11:10 am - 12:25 pm, CA 202, Zaretski
|
| Stat
579: Applied Multivariate Methods |
Fall |
001, TR 3:40 - 4:55, HSS 112, Seaver |
Timetable last updated on
06/30/2008.
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Cyberclass
Sections
|
Typical offerings of
Cyberclass sections
| Course |
Semester |
Current Sections
(2007) |
|
Stat 571: Statistical Methods |
Summer |
001, TR 5:00 - 7:00
pm, Leon |
| Stat 572: Applied
Regression Analysis |
Fall |
001, TR 5:05 - 6:20, Younger |
| Stat 573: Design of
Experiments |
Spring |
002, TR 5:05 - 6:20
pm, Leon |
| Stat 574: Data
Mining |
Spring |
001, MW 5:05 - 6:30 pm, Schmidhammer |
| Stat 579: Applied
Multivariate Methods |
Summer |
001, TR 3:30 - 5:45
pm, Schmidhammer |
Timetable
last updated on
06/30/2008.
For information about
the Cyberclass technology, please see
http://anywhere.tennessee.edu/de/tech.
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Rules regarding in-state and out-of-state tuition
for graduate courses may be found at
http://registrar.utk.edu/residency/residency.shtml.
Current costs may be found at
http://web.utk.edu/~bursar.
There is no additional charge for Cyberclass sections.
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A
statistics minor in conjunction with your Master’s or Doctoral degree in
another field, through the Intercollegiate Graduate Statistics Program.
The IGSP allows you to count up to 9 hours toward both your degree
and the minor. Please see http://bus.utk.edu/stat/igsp. |
 |
The
M.S. degree in Statistics, either stand-alone or in conjunction with your
Doctorate in another field, through the IGSP (above).
Requires 21 additional hours (including 6 hours of theory) beyond the
Certificate. Please see http://bus.utk.edu/stat/ms/index.html. |
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UT Program* |
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Spring 2002 |
Kenneth R. Odom
Christopher Shawn Perkins
Shijin Ren
Lok Hang Wan |
Civil Engineering
Chemical Engineering
Statistics |
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Summer 2002 |
Mithun Kamat |
Chemical Engineering |
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Fall 2002 |
Joel B. Chesser |
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Spring 2003 |
Jing He
Baris Korlu
Steven K. Moore
Pamela Mandrell Scott |
Biochemistry
Industrial Engineering
Mathematics
Statistics |
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Summer 2003 |
Dennis T. Humphrey |
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Fall, 2003 |
Yemin Ji
John S. Placyk
Piotr Styczen |
Management Science
Ecology & Evol. Biology
Business Administration |
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Spring, 2004 |
Lingchen Liao
Michael Polson
Haoming Rong |
Chemical Engineering
Statistics
Human Ecology |
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Fall, 2004 |
Anshuman Mehrotra
Ioana Sofia Pacurar |
Management Science
Management Science |
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Spring, 2005 |
Victoria Barnes |
Business Administration |
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Jun Ding |
Statistics |
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Brian Anthony Golek |
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Robert Keyser |
Statistics |
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Melody Rush |
Statistics |
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Xinji Shi |
Management Science |
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Eric Brice Stephens |
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James B. Tittle |
Aerospace Engineering |
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Derek Alan Turner |
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Fall, 2005 |
Lu Che |
Management Science |
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Weiwei Chen |
Statistics |
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Spring, 2006 |
Gary E. Erickson |
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Paula Federico |
Ecology and Evolutionary Biology |
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Ning Ning Hong |
Management Science |
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Fei Liu |
Biomedical Engineering |
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Joe Staven |
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Michael Sterling |
Statistics |
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Fall, 2006 |
Meredith Allen |
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Matthew Harper |
Statistics |
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Spring, 2007 |
Qionghui (Shelley) Zhang |
Child and Family Studies |
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Dennis Waddell |
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Fall, 2007 |
Greg Iocco |
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Ning He |
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Haitao Xu |
Materials Science and Engineering |
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Spring, 2008 |
Chung-Hao Chen |
Electrical and Computer Engineering |
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Fengxiao Liu |
Materials Science and Engineering |
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Liang Wu |
Materials Science and Engineering |
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Michael F. Raible |
Maintenance and Reliability
Engineering |
* If no program indicated, the student was enrolled
only in the Certificate Program.
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