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Professor at Industrial & Manufacturing Systems Engineering

Dr. John Priest is Professor of Industrial and Manufacturing Systems Engineering and Co-Director of CREST Multi-Disciplinary Research Center. He is former Associate Director of the Texas Radio Frequency Innovation and Development Center and former Associate Director of the Automation and Robotics Research Institute. In 2001, he received the University of Texas at Arlington Outstanding Engineering Research Award. While at UTA he has published over 160 technical articles, authored 2 books, received 7 patents, 1 pending and received over $7 Million funded research as principal and co-principal investigator. From 1982 to 1996, Dr. Priest was on the President's Committee for Employment of Persons with Disabilities. Between 1978 and 1999, he has worked on several major government task forces to improve the processes of technical risk assessment, product development, and producibility. He is former chair of the Faculty Senate and member of UT System Faculty Advisory Board.. Prior to academia, he worked for Texas Instruments, Rockwell International and General Motors. Dr. Priest's research interests include product and process development, commercialization, systems analysis, cost analysis, producibility, intelligent knowledge based systems and process improvement. His current research works include converting lignite coal to liquid crude, scheduling algorithms for General Motors, preventing runway incursions at DFW Airport, systems analysis of improved tracking methods for AA Cargo, micro fabrication methods for micro-reactors for biodiesel, coal and natural gas liquidification, and producibility and technical risk assessment of medical micro-devices. These projects are funded by the Department of Energy, DARPA, and private companies.

The University of Texas at Arlington
Ph.D.
Industrial Engineering
The University of Texas at Arlington
M.S.
Industrial Engineering
Kettering University
B.S.
Industrial Engineering
June 1982
Ongoing
Professor
The University of Texas at Arlington
January 1982
January 1988
Presidential Committee
Employment of the Handicapped
Research Interest
Dr. Priest's research interests include product and process development, RF applications, systems analysis, cost analysis, producibility, intelligent systems and process improvement. His current research includes cost analysis and prototyping for coal to liquid fuel gasification, natural gas to liquid fuel conversion, scheduling algorithms for General Motors, preventing runway incursions at DFW Airport, systems analysis of improved tracking methods for AA Cargo, micro fabrication methods for micro reactors for biodiesel, and producibility and technical risk assessment of medical microdevices.
2012
“Air Impacts from Three Alternatives for Producing JP-8  Jet Fuel”. Journal of the Air and Waste Management Association,  2012, K. Kositkanawuth, R. H. Gangupomu, M. L. Sattler, B. Dennis, F. MacDonnell, R. Billo, J. Priest.
Journal Article
Published
2011
"Life Cycle Analysis of Emissions from Three Alternatives for Producing Crude”, Proceedings of 104th Annual Conference of the Air & Waste Management Association. Orlando, Florida, June 2011. K. Kositkanawuth, R. H. Gangupomu, M. L. Sattler, B. Dennis, F. MacDonnell, R. Billo, J. Priest.
Conference Proceeding
Published
2011
“Decision-Making Using Lean Six Sigma”, Proceedings of Industrial Engineering Research Conference (IERC), May, 2011. C. Chandler and J. Priest
Conference Proceeding
Published
2009
Priest. (2009). Technologies to Prevent Runway Incursions. DFW Airport: UTA.
Technical Report
Accepted
2009
Priest. (2009). Priority Parcel Servcie Tracking. American Airlines: UTA.
Technical Report
Accepted
2009
Rosenberger, P. (2009). Sceduling Alogrithm for Paint Department. General Motors: UTA.
Technical Report
Accepted
2006
L. B. Priest and C. H. Sanchez. "The Crescent Lab: A Smart Home for Students," ENC-2006, SLP, Mexico, Sep. 19-21, 2006.
Journal Article
Published
2006
C. C. S. Chang and J. Priest. "Case-Based Representation of Assembly Part Design Knowledge," presented at Proceedings of Industrial Engineering Research Conference, Orlando, Florida, 2006.
Conference Paper
Published
2006
J. Priest, A. Chang, and C. C. Su. "Adaptation for Mechanical Design Based on Potential Risk Analysis," presented at Proceedings of Industrial Engineering Research Conference, Orlando, FL, 2006.
Conference Paper
Published
2006
J. Priest, M. B. Sarder, D. H. Liles, and Y. Moon. "Activity Modeling of Product and Process Design Using IDEF0," presented at roceedings of the 36th International Conference on Computers and Industrial Engineering, Taipei, Taiwan, 2006.
Conference Paper
Published
2006
J. Priest, A. Chang, and C. C. Su. "Applying Case-Based Reasoning to Assembly Part Design," presented at Proceedings of 36th International Conference on Computers and Industrial Engineering, Taipei, Taiwan, 2006.
Conference Paper
Published
2006
A. Abu-Suleiman and J. Priest. "A Framework for Quantitative Enterprise Strategy Management Using Strategy Maps," presented at Proceeding of Industrial Engineering Research Conference, Houston, TX, May 2006.
Conference Paper
Published
2006
B. Sarder and D. H. Liles. "Mapping Design Activities across Product Development Life Cycle," presented at Proceeding of Industrial Engineering Research Conference, Houston, TX, May 2006.
Conference Paper
Published
2005
J. Priest, A. Chang, and C. C. Su. "Retrieving Assembly Part Design using Case-Based Reasoning and Genetic Algorithms," presented at Proceedings of ASME International Mechanical Engineering Congress and Exposition, Orlando, FL, 2005.
Conference Paper
Published
2005
J. Priest, A. Chang, and C. C. Su. "Adaptation for Assembly Part Design with Incomplete Information," presented at Proceedings of International Conference on Industrial Engineering Theory, Clearwater Beach, FL, 2005.
Conference Paper
Published
2005
J. Priest, A. Chang, and C. C. Su. "A Decision Support System for Assembly Part Design using CBR Approach," presented at Proceedings of International Conference on Industrial Engineering Theory, Clearwater Beach, FL, 2005.
Conference Paper
Published
2004
J. Priest, L. Burnell, and J. R. Durrett. "An overview of A Virtual Advisor Utilizing Multi-Agent Software Teams and Contingency Theoretic Coordination Models," Encyclopedia of Information Science and Technology, vol. I-III Idea Group Publishers, 2004.
Book Chapter
Published
2004
G. T. Stevens and J. Priest. "Robot Manufacturing Applications," CRC Handbook of Mechanical Engineering, Second Edition, 2004.
Book Chapter
Accepted
2004
Priest, John, John Durrett, and Lisa Burnell. "A Comparative Study of Traditional and Contingency Theoretic Object-Oriented Design Meatphors for Agile Manufacturing Systems." Journal of Agile Manufacturing (2004).
Journal Article
Published
2004
Priest, John, John Durrett, and Lisa Burnell. "Teaching Distributed Systems Design Using an Open Source Development Model." Creative College Teaching Journal 1, no 1 (2004): 69-77.
Journal Article
Published
2002
Priest, John, Lisa Burnell, and John Durrett. "Teaching Distributed Multidisciplinary Software Development." IEEE Software 10, no 5 (2002): 86-93.
Journal Article
Published
2002
Priest, John, John Durrett, and Lisa Burnell. "A Hybrid Analysis and Architectural Design Method for Development of Smart Home Components." IEEE Wireless Communications ,Vol. 9, no 6 (2002): 85-91.
Journal Article
Published
2001
J. Priest, Product Development and Design for Manufacturing: A Collaborative Approach for Producibility and Reliability. New York, New York: Marcel Dekker, 2001.
Book
Published
1988
J. Priest, Engineering Design for Producibility and Reliability. New York, New York: Marcel Dekker, 1988.
Book
Published
1986
Engineering Design for Producibility and Reliability (1986)
Journal Article
Published
Natural Gas to Liquid Fuels
Uncategorized
CREST - Coal to Liquid Fuels - Department of Energy
Uncategorized
Coal to Liquid Fuels - DARPA
Uncategorized
July 2013 -
July 2014
A Novel Glass Microfluidic Neuro-Sensor For High- Throughput Drug Discovery"
$100,000
January 2012 -
December 2012
Coal to Liquid Fuel
$360,000
July 2008 -
July 2012
CREST Phases 1 and 2
$2,160,000
July 2009 -
July 2011
Coal to Liquid Fuel Conversion
$787,000
July 2009 -
July 2011
DFW Genesis Energy Group
$225,000
January 2009 -
December 2009
Micro reactor for Natural Gas
$50,000
January 2009 -
December 2009
Vacuum Hot Press
$125,000
July 2008 -
July 2009
Microreactor Biodiesel Production
$219,000
July 2007 -
July 2009
Arlington Chamber of Commerce and Texas Workforce Commission
$227,000
July 2006 -
July 2009
Smart CPR Strip
$325,000
July 2007 -
July 2007
RFID Systems and Smart Containers
$20,000
July 2002 -
July 2006
Collaborative Learning Program in Smart Home Technologies
$324,000
July 2000 -
July 2002
High Speed Liquid Metal Jetting for Metal Parts and Electronic Interconnects
$159,600
June 2013
Patent No. 8,404,005Methods and Systems for Improved Biodiesel Production

Methods and Systems for Improved Biodiesel Production

January 2013
Patent No. 12/556,857Methods and Systems for Improved Biodiesel Production

Methods and Systems for Improved Biodiesel Production

June 2009
Hong Kong Patent No. HK09105125.8,Cardiopulmonary Resuscitation Sensor

Cardiopulmonary Resuscitation Sensor

June 2008
European Patent No. EP08450087Cardiopulmonary Resuscitation Sensor

Cardiopulmonary Resuscitation Sensor

June 2007
Japanese Patent No. JP2007287136Cardiopulmonary Resuscitation Sensor

Cardiopulmonary Resuscitation Sensor

June 2006
Patent No. 11/764,174Cardiopulmonary Resuscitation Sensor

Cardiopulmonary Resuscitation Sensor

June 1998
Patent No. 5,810,988Apparatus and Method for Generation of Microspheres of Metals and Other Materials

Apparatus and Method for Generation of Microspheres of Metals and Other Materials

June 1996
Patent No. 5,560,543Heat Resistant Broad-Bandwidth Liquid Droplet Generators

Heat Resistant Broad-Bandwidth Liquid Droplet Generators

Spring 2015
IE 4345 - Knowledge and Technology Management
IE 4345/5345 Syllabus Spring 2015   APPLIED KNOWLEDGE ENGINEERING And DATA ANALYTIC APPLICATIONS. 3 Hours. Name: John W. Priest    Ph.D. P.E. Office Number: 404 Woolf Hall          Office Telephone Number: 817-272-3092 Email Address: jpriest@uta.edu (best method for communication) Office Hours:  Due to the level of research I do in the field and in 2 labs, I am rarely in my office.  Email if you have any questions or want to schedule a meeting. I will meet your at any mutually agreed upon time and place. Book: Data Science for Business by Foster Provost and Tom Fawcett, 2013, O'Reilly Publisher, ISBN 978-1-449-36132-7 Time and Place of Class Meetings: UTA 4345 class Tuesday and Thursday at 12:30 PM and 5345 class Tuesday and Thursday at 2:00 PM Distance Student Requirements:     Distance testing must follow all the College of Engineering guidelines, located at http://www.uta.edu/engineering/future-students/engineering-online/proctor-information.php. Students using Blackboard administered tests should review the Test Taking Tips information at http://www.uta.edu/blackboard/students/test-taking-tips.php. UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php. No cell phones on desk or answered during exams. This will be considered cheating For problems viewing ClassRev (Echo360) recordings:   contact classroomsupport@uta.edu. Final Grade: your final grade is based on exams and surprise quizzes nothing else.  There are no extra credit projects, papers, lab work, etc.   No exceptions,   If you do poorly on the early exam(s), please drop the course; especially graduate students. Description of Course Content: Review of application issues in data analytics, knowledge engineering, and applied artificial intelligence. Topics include knowledge acquisition, decision support systems, data analytic techniques, big data, data mining, neural networks, expert systems, genetic algorithms, and case based reasoning. Prerequisite: accepted in an UTA engineering professional program. Class learning objectives: This is a professional course for students who will demonstrate an understanding of the terminology, acronyms and concepts of decision support systems, intelligent systems, knowledge engineering, knowledge management, applied A.I. and data analytics For this area of knowledge, the objectives include   (i)  Recognition of the need for, and an ability to engage in life-long learning (self learning) (j)  Knowledge of contemporary issues (current, modern) (k) Ability to use the techniques, skills, & modern engineering tools necessary for engineering practice Why this is important One of the fastest growing areas of technology with job opportunities Decision support, intelligent systems and data analytics are becoming an integral part of our work and life. (Who is not using software and wireless technologies every day to communicate and solve problems?) – smart phones, apps, NFC, etc. Applicable to any industry or organization Requirements:  Self learning or active learning for enabling life-long learning is a goal of this class. This means that you will be given assignments that you will have to take an active role in learning the material on your own in order to complete the assignment. You will be asked to perform assignments that I have not previously completed or might not be able to do myself. As in industry and the “real world”, assignments may be vague and change throughout the class. In addition, this is a “reading intensive and survey class” covering many new and state-of-the-art topics in decision support systems, knowledge management, knowledge engineering, intelligent systems, expert systems, data mining, etc. As a result, the lectures and notes are an integral part of this course. The student is responsible for studying and learning the lectures and handout materials whether or not the particular topic is discussed in class. All tests will contain questions on reading/studying the materials that were not discussed in class. This course and topic areas are evolving so the course requirements will be defined as the course progresses. What portions of the class will help you in the future are hard to know at this time. Attend class, take good class notes of lectures, stay current, read and study the handouts and texbook, do homework and you will have no trouble.  Computers used in class must only be used to take notes. This includes any open windows. The syllabus can be viewed as a 'blueprint' for the course; changes in the syllabus can be made as needed. Students will be informed of any substantive changes in class lectures concerning examination, the grading or attendance policies and changes in project assignments. I expect that we will have 3 tests   Grading Policy: Final Grade Calculation I expect that we will have 3 exams (1/3 each).  Computation of the final average will almost always vary from the original syllabus. Final grades will depend as modified during the course including any pop/surprise quizzes and whether the final is comprehensive . Final grade is based on exams and quizzes; nothing else.  No extra credit projects, papers, lab work, etc.   No exceptions.  If you do poorly on the early exam(s), please drop the course; especially graduate students Tests and quizzes All tests and quizzes are multiple choice, closed book and computer graded using web based blackboard. Anyone looking at their cell phones, computer and not using lockdown software during a test/quiz will be considered cheating. No Whine Policy Concerning Test and Final Grades Tests will always be returned and reviewed in the next class period.  Discussion of the test and test questions is limited to this class.  All requests for a regrade or questions concerning grading of a person’s individual test must be submitted in writing before the start of the next class period. The student must state what question is to be reviewed and why more credit should be given. This can be written on the test or on a separate sheet of paper. An individual’s test questions are not answered, reviewed or regraded while the student is in my presence. Special final grade requirements: Any special final grade requirements must be provided by e-mail to me in the 1.  first 2 weeks of the class and 2. after final exam, to be considered in final grade considerations. (E.g. graduating senior, probation, must have a c grade to graduate or stay in school, I work full time, scholarship requirements etc.). Attendance Policy:  (Undergraduate and Graduate Students) Attendance starts from the first day of class regardless of the circumstances. Late registration, just arriving from overseas, visa problems, graduate school, staying in your country for medical/dental/wedding/birthday issues or any other circumstances does not change your responsibility to catch up on your own and any surprise quizzes. This does not include approved absences. Attendance: At The University of Texas at Arlington, taking attendance is not required. Rather, each faculty member is free to develop his or her own methods of evaluating students’ academic performance, which includes establishing course-specific policies on attendance. As the instructor of this section, [insert your attendance policy and/or expectations, e.g. “I will not take attendance” or “I allow students to attend class at their own discretion” or “I have elected to take attendance but will not factor attendance into the grade” or “I have decided that attendance at class meetings is not required but strongly encouraged” or “I have established following attendance policy: …”] [Important!  Be sure that you include this section on attendance, even if you do not track attendance or factor attendance into the grade. It is important that students understand that any attendance rules applied in your course are your own and not a matter of institutional policy. Doing so will keep the University in compliance with Federal regulations as they apply to Title IV funding. (For a summary, see http://www.tgslc.org/pdf/Program-integrity-R2T4-Taking-Attendance.pdf.) If you are teaching a course in which attendance / hours must be tracked to meet other non-institutional requirements (e.g., to earn an academically-grounded professional credential), then be sure to clearly indicate the agency that has established the requirement.] No excuses for missing the scheduled final     i.e wanting to leave school early to go home or attend some function. Excused Absences The only acceptable excuses for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project, a traffic report showing that you were in a wreck, death in family etc. Not arriving for the first few classes due to travel schedules is not an excused absence. Drop Policy:  I use the university drop policy Americans with Disabilities Act: The University of Texas at Arlington is on record as being committed to both the spirit and letter of federal equal opportunity legislation; reference Public Law 92-112 - The Rehabilitation Act of 1973 as amended. With the passage of federal legislation entitled Americans with Disabilities Act (ADA), pursuant to section 504 of the Rehabilitation Act, there is renewed focus on providing this population with the same opportunities enjoyed by all citizens. As a faculty member, I am required by law to provide "reasonable accommodations" to students with disabilities, so as not to discriminate on the basis of that disability. Student responsibility primarily rests with informing faculty of their need for accommodation and in providing authorized documentation through designated administrative channels.  Information regarding specific diagnostic criteria and policies for obtaining academic accommodations can be found at www.uta.edu/disability.   Also, you may visit the Office for Students with Disabilities in room 102 of University Hall or call them at (817) 272-3364. Title IX: The University of Texas at Arlington is committed to upholding U.S. Federal Law “Title IX” such that no member of the UT Arlington community shall, on the basis of sex, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any education program or activity. For more information, visit www.uta.edu/titleIX. Academic Integrity: UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php.   It is the philosophy of The University of Texas at Arlington that academic dishonesty is a completely unacceptable mode of conduct and will not be tolerated in any form. All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may include suspension or expulsion from the University. "Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, and the submission for credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, any act designed to give unfair advantage to a student or the attempt to commit such acts." (Regents’ Rules and Regulations, Series 50101, Section 2.2) Anyone looking at their cell phones or computer during a test/quiz will be considered cheating. Copying any written or web based materials for a project without proper referencing will not be tolerated. Xerox copies of the book that infringe on copyright laws will not be allowed in class.   Copyright Information: Copyright 2015 J.W. Priest as to this syllabus, handouts and all lectures.  Students are prohibited from selling (or being paid for taking) notes during this course to (or by) any person or commercial firm without the express permission of the professor teaching this course  Student Support Services Available:  The University of Texas at Arlington supports a variety of student success programs to help you connect with the University and achieve academic success. These programs include learning assistance, developmental education, advising and mentoring, admission and transition, and federally funded programs. Students requiring assistance academically, personally, or socially should contact the Office of Student Success Programs at 817-272-6107 for more information and appropriate referrals. Final Review Week: I will attempt to provide a period of five days prior to the first day of final examinations in the long sessions to be designated as Final Review Week. Librarian to Contact:  Librarian located in the basement of Nedderman Hall E-Culture Policy:   The University of Texas at Arlington has adopted the University email address as an official means of communication with students.  Through the use of email, UT-Arlington is able to provide students with relevant and timely information, designed to facilitate student success.  In particular, important information concerning registration, financial aid, payment of bills, and graduation may be sent to students through email. All students are assigned an email account and information about activating and using it is available at www.uta.edu/email.  New students (first semester at UTA) are able to activate their email account 24 hours after registering for courses.  There is no additional charge to students for using this account, and it remains active as long as a student is enrolled at UT-Arlington.  Students are responsible for checking their email regularly. It is the classroom and distance students’ responsibility for all communications with Dr. Priest and the school administration. All emails should start with the class name “Knowledge” in the subject. Make-up Exam Policy: For classroom students there are no make-up exams/quizzes or project due dates. The only acceptable excuse for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project. For unexcused situations, penalties for missing an exam/quiz/project are at the discretion of Dr. Priest but will be at least one letter grade for the final grade. Grade Grievance Policy:  Refer to catalog on web site IE 4345/5345 Syllabus Spring 2015   APPLIED KNOWLEDGE ENGINEERING And DATA ANALYTIC APPLICATIONS. 3 Hours. Name: John W. Priest    Ph.D. P.E. Office Number: 404 Woolf Hall          Office Telephone Number: 817-272-3092 Email Address: jpriest@uta.edu (best method for communication) Office Hours:  Due to the level of research I do in the field and in 2 labs, I am rarely in my office.  Email if you have any questions or want to schedule a meeting. I will meet your at any mutually agreed upon time and place. Book: Data Science for Business by Foster Provost and Tom Fawcett, 2013, O'Reilly Publisher, ISBN 978-1-449-36132-7 Time and Place of Class Meetings: UTA 4345 class Tuesday and Thursday at 12:30 PM and 5345 class Tuesday and Thursday at 2:00 PM Distance Student Requirements:     Distance testing must follow all the College of Engineering guidelines, located at http://www.uta.edu/engineering/future-students/engineering-online/proctor-information.php. Students using Blackboard administered tests should review the Test Taking Tips information at http://www.uta.edu/blackboard/students/test-taking-tips.php. UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php. For problems viewing ClassRev (Echo360) recordings:   contact classroomsupport@uta.edu. Final Grade: your final grade is based on exams and surprise quizzes nothing else.  There are no extra credit projects, papers, lab work, etc.   No exceptions,   If you do poorly on the early exam(s), please drop the course; especially graduate students. Description of Course Content: Review of application issues in data analytics, knowledge engineering, and applied artificial intelligence. Topics include knowledge acquisition, decision support systems, data analytic techniques, big data, data mining, neural networks, expert systems, genetic algorithms, and case based reasoning. Prerequisite: accepted in an UTA engineering professional program. Class learning objectives: This is a professional course for students who will demonstrate an understanding of the terminology, acronyms and concepts of decision support systems, intelligent systems, knowledge engineering, knowledge management, applied A.I. and data analytics For this area of knowledge, the objectives include   (i)  Recognition of the need for, and an ability to engage in life-long learning (self learning) (j)  Knowledge of contemporary issues (current, modern) (k) Ability to use the techniques, skills, & modern engineering tools necessary for engineering practice Why this is important One of the fastest growing areas of technology with job opportunities Decision support, intelligent systems and data analytics are becoming an integral part of our work and life. (Who is not using software and wireless technologies every day to communicate and solve problems?) – smart phones, apps, NFC, etc. Applicable to any industry or organization Requirements:  Self learning or active learning for enabling life-long learning is a goal of this class. This means that you will be given assignments that you will have to take an active role in learning the material on your own in order to complete the assignment. You will be asked to perform assignments that I have not previously completed or might not be able to do myself. As in industry and the “real world”, assignments may be vague and change throughout the class. In addition, this is a “reading intensive and survey class” covering many new and state-of-the-art topics in decision support systems, knowledge management, knowledge engineering, intelligent systems, expert systems, data mining, etc. As a result, the lectures and notes are an integral part of this course. The student is responsible for studying and learning the lectures and handout materials whether or not the particular topic is discussed in class. All tests will contain questions on reading/studying the materials that were not discussed in class. This course and topic areas are evolving so the course requirements will be defined as the course progresses. What portions of the class will help you in the future are hard to know at this time. Attend class, take good class notes of lectures, stay current, read and study the handouts and texbook, do homework and you will have no trouble.  Computers used in class must only be used to take notes. This includes any open windows. The syllabus can be viewed as a 'blueprint' for the course; changes in the syllabus can be made as needed. Students will be informed of any substantive changes in class lectures concerning examination, the grading or attendance policies and changes in project assignments. I expect that we will have 3 tests   Grading Policy: Final Grade Calculation I expect that we will have 3 exams (1/3 each).  Computation of the final average will almost always vary from the original syllabus. Final grades will depend as modified during the course including any pop/surprise quizzes and whether the final is comprehensive . Final grade is based on exams and quizzes; nothing else.  No extra credit projects, papers, lab work, etc.   No exceptions.  If you do poorly on the early exam(s), please drop the course; especially graduate students Tests and quizzes All tests and quizzes are multiple choice, closed book and computer graded using web based blackboard. Anyone looking at their cell phones, computer and not using lockdown software during a test/quiz will be considered cheating. No Whine Policy Concerning Test and Final Grades Tests will always be returned and reviewed in the next class period.  Discussion of the test and test questions is limited to this class.  All requests for a regrade or questions concerning grading of a person’s individual test must be submitted in writing before the start of the next class period. The student must state what question is to be reviewed and why more credit should be given. This can be written on the test or on a separate sheet of paper. An individual’s test questions are not answered, reviewed or regraded while the student is in my presence. Special final grade requirements: Any special final grade requirements must be provided by e-mail to me in the 1.  first 2 weeks of the class and 2. after final exam, to be considered in final grade considerations. (E.g. graduating senior, probation, must have a c grade to graduate or stay in school, I work full time, scholarship requirements etc.). Attendance Policy:  (Undergraduate and Graduate Students) Attendance starts from the first day of class regardless of the circumstances. Late registration, just arriving from overseas, visa problems, graduate school, staying in your country for medical/dental/wedding/birthday issues or any other circumstances does not change your responsibility to catch up on your own and any surprise quizzes. This does not include approved absences. No excuses for missing the scheduled final     i.e wanting to leave school early to go home or attend some function. Excused Absences The only acceptable excuses for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project, a traffic report showing that you were in a wreck, death in family etc. Not arriving for the first few classes due to travel schedules is not an excused absence. Drop Policy:  I use the university drop policy Americans with Disabilities Act: The University of Texas at Arlington is on record as being committed to both the spirit and letter of federal equal opportunity legislation; reference Public Law 92-112 - The Rehabilitation Act of 1973 as amended. With the passage of federal legislation entitled Americans with Disabilities Act (ADA), pursuant to section 504 of the Rehabilitation Act, there is renewed focus on providing this population with the same opportunities enjoyed by all citizens. As a faculty member, I am required by law to provide "reasonable accommodations" to students with disabilities, so as not to discriminate on the basis of that disability. Student responsibility primarily rests with informing faculty of their need for accommodation and in providing authorized documentation through designated administrative channels.  Information regarding specific diagnostic criteria and policies for obtaining academic accommodations can be found at www.uta.edu/disability.   Also, you may visit the Office for Students with Disabilities in room 102 of University Hall or call them at (817) 272-3364. Academic Integrity: UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php.   It is the philosophy of The University of Texas at Arlington that academic dishonesty is a completely unacceptable mode of conduct and will not be tolerated in any form. All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may include suspension or expulsion from the University. "Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, and the submission for credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, any act designed to give unfair advantage to a student or the attempt to commit such acts." (Regents’ Rules and Regulations, Series 50101, Section 2.2) Anyone looking at their cell phones or computer during a test/quiz will be considered cheating. Copying any written or web based materials for a project without proper referencing will not be tolerated. Xerox copies of the book that infringe on copyright laws will not be allowed in class.   Copyright Information: Copyright 2015 J.W. Priest as to this syllabus, handouts and all lectures.  Students are prohibited from selling (or being paid for taking) notes during this course to (or by) any person or commercial firm without the express permission of the professor teaching this course  Student Support Services Available:  The University of Texas at Arlington supports a variety of student success programs to help you connect with the University and achieve academic success. These programs include learning assistance, developmental education, advising and mentoring, admission and transition, and federally funded programs. Students requiring assistance academically, personally, or socially should contact the Office of Student Success Programs at 817-272-6107 for more information and appropriate referrals. Final Review Week: I will attempt to provide a period of five days prior to the first day of final examinations in the long sessions to be designated as Final Review Week. Librarian to Contact:  Librarian located in the basement of Nedderman Hall E-Culture Policy:   The University of Texas at Arlington has adopted the University email address as an official means of communication with students.  Through the use of email, UT-Arlington is able to provide students with relevant and timely information, designed to facilitate student success.  In particular, important information concerning registration, financial aid, payment of bills, and graduation may be sent to students through email. All students are assigned an email account and information about activating and using it is available at www.uta.edu/email.  New students (first semester at UTA) are able to activate their email account 24 hours after registering for courses.  There is no additional charge to students for using this account, and it remains active as long as a student is enrolled at UT-Arlington.  Students are responsible for checking their email regularly. It is the classroom and distance students’ responsibility for all communications with Dr. Priest and the school administration. All emails should start with the class name “Knowledge” in the subject. Make-up Exam Policy: For classroom students there are no make-up exams/quizzes or project due dates. The only acceptable excuse for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project. For unexcused situations, penalties for missing an exam/quiz/project are at the discretion of Dr. Priest but will be at least one letter grade for the final grade. Grade Grievance Policy:  Refer to catalog on web site
Last Updated on January 15, 2015, 8:46 am
No Documents Attached
Spring 2015
IE 5345 - knowledge
IE 4345/5345 Syllabus Spring 2015   APPLIED KNOWLEDGE ENGINEERING And DATA ANALYTIC APPLICATIONS. 3 Hours. Name: John W. Priest    Ph.D. P.E. Office Number: 404 Woolf Hall          Office Telephone Number: 817-272-3092 Email Address: jpriest@uta.edu (best method for communication) Office Hours:  Due to the level of research I do in the field and in 2 labs, I am rarely in my office.  Email if you have any questions or want to schedule a meeting. I will meet your at any mutually agreed upon time and place. Book: Data Science for Business by Foster Provost and Tom Fawcett, 2013, O'Reilly Publisher, ISBN 978-1-449-36132-7 Time and Place of Class Meetings: UTA 4345 class Tuesday and Thursday at 12:30 PM and 5345 class Tuesday and Thursday at 2:00 PM Distance Student Requirements:     Distance testing must follow all the College of Engineering guidelines, located at http://www.uta.edu/engineering/future-students/engineering-online/proctor-information.php. Students using Blackboard administered tests should review the Test Taking Tips information at http://www.uta.edu/blackboard/students/test-taking-tips.php. UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php. No cell phones on desk or answered during exams. This will be considered cheating For problems viewing ClassRev (Echo360) recordings:   contact classroomsupport@uta.edu. Final Grade: your final grade is based on exams and surprise quizzes nothing else.  There are no extra credit projects, papers, lab work, etc.   No exceptions,   If you do poorly on the early exam(s), please drop the course; especially graduate students. Description of Course Content: Review of application issues in data analytics, knowledge engineering, and applied artificial intelligence. Topics include knowledge acquisition, decision support systems, data analytic techniques, big data, data mining, neural networks, expert systems, genetic algorithms, and case based reasoning. Prerequisite: accepted in an UTA engineering professional program. Class learning objectives: This is a professional course for students who will demonstrate an understanding of the terminology, acronyms and concepts of decision support systems, intelligent systems, knowledge engineering, knowledge management, applied A.I. and data analytics For this area of knowledge, the objectives include   (i)  Recognition of the need for, and an ability to engage in life-long learning (self learning) (j)  Knowledge of contemporary issues (current, modern) (k) Ability to use the techniques, skills, & modern engineering tools necessary for engineering practice Why this is important One of the fastest growing areas of technology with job opportunities Decision support, intelligent systems and data analytics are becoming an integral part of our work and life. (Who is not using software and wireless technologies every day to communicate and solve problems?) – smart phones, apps, NFC, etc. Applicable to any industry or organization Requirements:  Self learning or active learning for enabling life-long learning is a goal of this class. This means that you will be given assignments that you will have to take an active role in learning the material on your own in order to complete the assignment. You will be asked to perform assignments that I have not previously completed or might not be able to do myself. As in industry and the “real world”, assignments may be vague and change throughout the class. In addition, this is a “reading intensive and survey class” covering many new and state-of-the-art topics in decision support systems, knowledge management, knowledge engineering, intelligent systems, expert systems, data mining, etc. As a result, the lectures and notes are an integral part of this course. The student is responsible for studying and learning the lectures and handout materials whether or not the particular topic is discussed in class. All tests will contain questions on reading/studying the materials that were not discussed in class. This course and topic areas are evolving so the course requirements will be defined as the course progresses. What portions of the class will help you in the future are hard to know at this time. Attend class, take good class notes of lectures, stay current, read and study the handouts and texbook, do homework and you will have no trouble.  Computers used in class must only be used to take notes. This includes any open windows. The syllabus can be viewed as a 'blueprint' for the course; changes in the syllabus can be made as needed. Students will be informed of any substantive changes in class lectures concerning examination, the grading or attendance policies and changes in project assignments. I expect that we will have 3 tests   Grading Policy: Final Grade Calculation I expect that we will have 3 exams (1/3 each).  Computation of the final average will almost always vary from the original syllabus. Final grades will depend as modified during the course including any pop/surprise quizzes and whether the final is comprehensive . Final grade is based on exams and quizzes; nothing else.  No extra credit projects, papers, lab work, etc.   No exceptions.  If you do poorly on the early exam(s), please drop the course; especially graduate students Tests and quizzes All tests and quizzes are multiple choice, closed book and computer graded using web based blackboard. Anyone looking at their cell phones, computer and not using lockdown software during a test/quiz will be considered cheating. No Whine Policy Concerning Test and Final Grades Tests will always be returned and reviewed in the next class period.  Discussion of the test and test questions is limited to this class.  All requests for a regrade or questions concerning grading of a person’s individual test must be submitted in writing before the start of the next class period. The student must state what question is to be reviewed and why more credit should be given. This can be written on the test or on a separate sheet of paper. An individual’s test questions are not answered, reviewed or regraded while the student is in my presence. Special final grade requirements: Any special final grade requirements must be provided by e-mail to me in the 1.  first 2 weeks of the class and 2. after final exam, to be considered in final grade considerations. (E.g. graduating senior, probation, must have a c grade to graduate or stay in school, I work full time, scholarship requirements etc.). Attendance Policy:  (Undergraduate and Graduate Students) Attendance starts from the first day of class regardless of the circumstances. Late registration, just arriving from overseas, visa problems, graduate school, staying in your country for medical/dental/wedding/birthday issues or any other circumstances does not change your responsibility to catch up on your own and any surprise quizzes. This does not include approved absences. Attendance: At The University of Texas at Arlington, taking attendance is not required. Rather, each faculty member is free to develop his or her own methods of evaluating students’ academic performance, which includes establishing course-specific policies on attendance. As the instructor of this section, [insert your attendance policy and/or expectations, e.g. “I will not take attendance” or “I allow students to attend class at their own discretion” or “I have elected to take attendance but will not factor attendance into the grade” or “I have decided that attendance at class meetings is not required but strongly encouraged” or “I have established following attendance policy: …”] [Important!  Be sure that you include this section on attendance, even if you do not track attendance or factor attendance into the grade. It is important that students understand that any attendance rules applied in your course are your own and not a matter of institutional policy. Doing so will keep the University in compliance with Federal regulations as they apply to Title IV funding. (For a summary, see http://www.tgslc.org/pdf/Program-integrity-R2T4-Taking-Attendance.pdf.) If you are teaching a course in which attendance / hours must be tracked to meet other non-institutional requirements (e.g., to earn an academically-grounded professional credential), then be sure to clearly indicate the agency that has established the requirement.] No excuses for missing the scheduled final     i.e wanting to leave school early to go home or attend some function. Excused Absences The only acceptable excuses for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project, a traffic report showing that you were in a wreck, death in family etc. Not arriving for the first few classes due to travel schedules is not an excused absence. Drop Policy:  I use the university drop policy Americans with Disabilities Act: The University of Texas at Arlington is on record as being committed to both the spirit and letter of federal equal opportunity legislation; reference Public Law 92-112 - The Rehabilitation Act of 1973 as amended. With the passage of federal legislation entitled Americans with Disabilities Act (ADA), pursuant to section 504 of the Rehabilitation Act, there is renewed focus on providing this population with the same opportunities enjoyed by all citizens. As a faculty member, I am required by law to provide "reasonable accommodations" to students with disabilities, so as not to discriminate on the basis of that disability. Student responsibility primarily rests with informing faculty of their need for accommodation and in providing authorized documentation through designated administrative channels.  Information regarding specific diagnostic criteria and policies for obtaining academic accommodations can be found at www.uta.edu/disability.   Also, you may visit the Office for Students with Disabilities in room 102 of University Hall or call them at (817) 272-3364. Title IX: The University of Texas at Arlington is committed to upholding U.S. Federal Law “Title IX” such that no member of the UT Arlington community shall, on the basis of sex, be excluded from participation in, be denied the benefits of, or be subjected to discrimination under any education program or activity. For more information, visit www.uta.edu/titleIX. Academic Integrity: UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php.   It is the philosophy of The University of Texas at Arlington that academic dishonesty is a completely unacceptable mode of conduct and will not be tolerated in any form. All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may include suspension or expulsion from the University. "Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, and the submission for credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, any act designed to give unfair advantage to a student or the attempt to commit such acts." (Regents’ Rules and Regulations, Series 50101, Section 2.2) Anyone looking at their cell phones or computer during a test/quiz will be considered cheating. Copying any written or web based materials for a project without proper referencing will not be tolerated. Xerox copies of the book that infringe on copyright laws will not be allowed in class.   Copyright Information: Copyright 2015 J.W. Priest as to this syllabus, handouts and all lectures.  Students are prohibited from selling (or being paid for taking) notes during this course to (or by) any person or commercial firm without the express permission of the professor teaching this course  Student Support Services Available:  The University of Texas at Arlington supports a variety of student success programs to help you connect with the University and achieve academic success. These programs include learning assistance, developmental education, advising and mentoring, admission and transition, and federally funded programs. Students requiring assistance academically, personally, or socially should contact the Office of Student Success Programs at 817-272-6107 for more information and appropriate referrals. Final Review Week: I will attempt to provide a period of five days prior to the first day of final examinations in the long sessions to be designated as Final Review Week. Librarian to Contact:  Librarian located in the basement of Nedderman Hall E-Culture Policy:   The University of Texas at Arlington has adopted the University email address as an official means of communication with students.  Through the use of email, UT-Arlington is able to provide students with relevant and timely information, designed to facilitate student success.  In particular, important information concerning registration, financial aid, payment of bills, and graduation may be sent to students through email. All students are assigned an email account and information about activating and using it is available at www.uta.edu/email.  New students (first semester at UTA) are able to activate their email account 24 hours after registering for courses.  There is no additional charge to students for using this account, and it remains active as long as a student is enrolled at UT-Arlington.  Students are responsible for checking their email regularly. It is the classroom and distance students’ responsibility for all communications with Dr. Priest and the school administration. All emails should start with the class name “Knowledge” in the subject. Make-up Exam Policy: For classroom students there are no make-up exams/quizzes or project due dates. The only acceptable excuse for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project. For unexcused situations, penalties for missing an exam/quiz/project are at the discretion of Dr. Priest but will be at least one letter grade for the final grade. Grade Grievance Policy:  Refer to catalog on web site IE 4345/5345 Syllabus Spring 2015   APPLIED KNOWLEDGE ENGINEERING And DATA ANALYTIC APPLICATIONS. 3 Hours. Name: John W. Priest    Ph.D. P.E. Office Number: 404 Woolf Hall          Office Telephone Number: 817-272-3092 Email Address: jpriest@uta.edu (best method for communication) Office Hours:  Due to the level of research I do in the field and in 2 labs, I am rarely in my office.  Email if you have any questions or want to schedule a meeting. I will meet your at any mutually agreed upon time and place. Book: Data Science for Business by Foster Provost and Tom Fawcett, 2013, O'Reilly Publisher, ISBN 978-1-449-36132-7 Time and Place of Class Meetings: UTA 4345 class Tuesday and Thursday at 12:30 PM and 5345 class Tuesday and Thursday at 2:00 PM Distance Student Requirements:     Distance testing must follow all the College of Engineering guidelines, located at http://www.uta.edu/engineering/future-students/engineering-online/proctor-information.php. Students using Blackboard administered tests should review the Test Taking Tips information at http://www.uta.edu/blackboard/students/test-taking-tips.php. UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php. For problems viewing ClassRev (Echo360) recordings:   contact classroomsupport@uta.edu. Final Grade: your final grade is based on exams and surprise quizzes nothing else.  There are no extra credit projects, papers, lab work, etc.   No exceptions,   If you do poorly on the early exam(s), please drop the course; especially graduate students. Description of Course Content: Review of application issues in data analytics, knowledge engineering, and applied artificial intelligence. Topics include knowledge acquisition, decision support systems, data analytic techniques, big data, data mining, neural networks, expert systems, genetic algorithms, and case based reasoning. Prerequisite: accepted in an UTA engineering professional program. Class learning objectives: This is a professional course for students who will demonstrate an understanding of the terminology, acronyms and concepts of decision support systems, intelligent systems, knowledge engineering, knowledge management, applied A.I. and data analytics For this area of knowledge, the objectives include   (i)  Recognition of the need for, and an ability to engage in life-long learning (self learning) (j)  Knowledge of contemporary issues (current, modern) (k) Ability to use the techniques, skills, & modern engineering tools necessary for engineering practice Why this is important One of the fastest growing areas of technology with job opportunities Decision support, intelligent systems and data analytics are becoming an integral part of our work and life. (Who is not using software and wireless technologies every day to communicate and solve problems?) – smart phones, apps, NFC, etc. Applicable to any industry or organization Requirements:  Self learning or active learning for enabling life-long learning is a goal of this class. This means that you will be given assignments that you will have to take an active role in learning the material on your own in order to complete the assignment. You will be asked to perform assignments that I have not previously completed or might not be able to do myself. As in industry and the “real world”, assignments may be vague and change throughout the class. In addition, this is a “reading intensive and survey class” covering many new and state-of-the-art topics in decision support systems, knowledge management, knowledge engineering, intelligent systems, expert systems, data mining, etc. As a result, the lectures and notes are an integral part of this course. The student is responsible for studying and learning the lectures and handout materials whether or not the particular topic is discussed in class. All tests will contain questions on reading/studying the materials that were not discussed in class. This course and topic areas are evolving so the course requirements will be defined as the course progresses. What portions of the class will help you in the future are hard to know at this time. Attend class, take good class notes of lectures, stay current, read and study the handouts and texbook, do homework and you will have no trouble.  Computers used in class must only be used to take notes. This includes any open windows. The syllabus can be viewed as a 'blueprint' for the course; changes in the syllabus can be made as needed. Students will be informed of any substantive changes in class lectures concerning examination, the grading or attendance policies and changes in project assignments. I expect that we will have 3 tests   Grading Policy: Final Grade Calculation I expect that we will have 3 exams (1/3 each).  Computation of the final average will almost always vary from the original syllabus. Final grades will depend as modified during the course including any pop/surprise quizzes and whether the final is comprehensive . Final grade is based on exams and quizzes; nothing else.  No extra credit projects, papers, lab work, etc.   No exceptions.  If you do poorly on the early exam(s), please drop the course; especially graduate students Tests and quizzes All tests and quizzes are multiple choice, closed book and computer graded using web based blackboard. Anyone looking at their cell phones, computer and not using lockdown software during a test/quiz will be considered cheating. No Whine Policy Concerning Test and Final Grades Tests will always be returned and reviewed in the next class period.  Discussion of the test and test questions is limited to this class.  All requests for a regrade or questions concerning grading of a person’s individual test must be submitted in writing before the start of the next class period. The student must state what question is to be reviewed and why more credit should be given. This can be written on the test or on a separate sheet of paper. An individual’s test questions are not answered, reviewed or regraded while the student is in my presence. Special final grade requirements: Any special final grade requirements must be provided by e-mail to me in the 1.  first 2 weeks of the class and 2. after final exam, to be considered in final grade considerations. (E.g. graduating senior, probation, must have a c grade to graduate or stay in school, I work full time, scholarship requirements etc.). Attendance Policy:  (Undergraduate and Graduate Students) Attendance starts from the first day of class regardless of the circumstances. Late registration, just arriving from overseas, visa problems, graduate school, staying in your country for medical/dental/wedding/birthday issues or any other circumstances does not change your responsibility to catch up on your own and any surprise quizzes. This does not include approved absences. No excuses for missing the scheduled final     i.e wanting to leave school early to go home or attend some function. Excused Absences The only acceptable excuses for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project, a traffic report showing that you were in a wreck, death in family etc. Not arriving for the first few classes due to travel schedules is not an excused absence. Drop Policy:  I use the university drop policy Americans with Disabilities Act: The University of Texas at Arlington is on record as being committed to both the spirit and letter of federal equal opportunity legislation; reference Public Law 92-112 - The Rehabilitation Act of 1973 as amended. With the passage of federal legislation entitled Americans with Disabilities Act (ADA), pursuant to section 504 of the Rehabilitation Act, there is renewed focus on providing this population with the same opportunities enjoyed by all citizens. As a faculty member, I am required by law to provide "reasonable accommodations" to students with disabilities, so as not to discriminate on the basis of that disability. Student responsibility primarily rests with informing faculty of their need for accommodation and in providing authorized documentation through designated administrative channels.  Information regarding specific diagnostic criteria and policies for obtaining academic accommodations can be found at www.uta.edu/disability.   Also, you may visit the Office for Students with Disabilities in room 102 of University Hall or call them at (817) 272-3364. Academic Integrity: UTA expects all students, whether in class or online, to abide by its Honor Code. The code is posted at http://www.uta.edu/engineering/current-students/academic-honesty.php.   It is the philosophy of The University of Texas at Arlington that academic dishonesty is a completely unacceptable mode of conduct and will not be tolerated in any form. All persons involved in academic dishonesty will be disciplined in accordance with University regulations and procedures. Discipline may include suspension or expulsion from the University. "Scholastic dishonesty includes but is not limited to cheating, plagiarism, collusion, and the submission for credit of any work or materials that are attributable in whole or in part to another person, taking an examination for another person, any act designed to give unfair advantage to a student or the attempt to commit such acts." (Regents’ Rules and Regulations, Series 50101, Section 2.2) Anyone looking at their cell phones or computer during a test/quiz will be considered cheating. Copying any written or web based materials for a project without proper referencing will not be tolerated. Xerox copies of the book that infringe on copyright laws will not be allowed in class.   Copyright Information: Copyright 2015 J.W. Priest as to this syllabus, handouts and all lectures.  Students are prohibited from selling (or being paid for taking) notes during this course to (or by) any person or commercial firm without the express permission of the professor teaching this course  Student Support Services Available:  The University of Texas at Arlington supports a variety of student success programs to help you connect with the University and achieve academic success. These programs include learning assistance, developmental education, advising and mentoring, admission and transition, and federally funded programs. Students requiring assistance academically, personally, or socially should contact the Office of Student Success Programs at 817-272-6107 for more information and appropriate referrals. Final Review Week: I will attempt to provide a period of five days prior to the first day of final examinations in the long sessions to be designated as Final Review Week. Librarian to Contact:  Librarian located in the basement of Nedderman Hall E-Culture Policy:   The University of Texas at Arlington has adopted the University email address as an official means of communication with students.  Through the use of email, UT-Arlington is able to provide students with relevant and timely information, designed to facilitate student success.  In particular, important information concerning registration, financial aid, payment of bills, and graduation may be sent to students through email. All students are assigned an email account and information about activating and using it is available at www.uta.edu/email.  New students (first semester at UTA) are able to activate their email account 24 hours after registering for courses.  There is no additional charge to students for using this account, and it remains active as long as a student is enrolled at UT-Arlington.  Students are responsible for checking their email regularly. It is the classroom and distance students’ responsibility for all communications with Dr. Priest and the school administration. All emails should start with the class name “Knowledge” in the subject. Make-up Exam Policy: For classroom students there are no make-up exams/quizzes or project due dates. The only acceptable excuse for missing exams/quizzes or project due dates is a signed medical doctor's note that specifically states that you are unable to attend the exam/quiz/project. For unexcused situations, penalties for missing an exam/quiz/project are at the discretion of Dr. Priest but will be at least one letter grade for the final grade. Grade Grievance Policy:  Refer to catalog on web site
Last Updated on January 15, 2015, 8:47 am
No Documents Attached
Fall 2014
IE 5346 - Technology Development and Deployment
Office Hours (also by appointment)
DayStartEnd
Monday1:00PM3:00PM
Tuesday1:00PM3:30PM
Thursday1:00PM3:30PM
Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration.
Last Updated on August 8, 2014, 9:57 am
No Documents Attached
Fall 2014
IE 4339 - Product Development, Producibility and Reliability Design
This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized.
Last Updated on August 8, 2014, 9:59 am
No Documents Attached
Fall 2014
IE 5339 - Product Design, Development, Producibility, and Reliability Design
This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized.
Last Updated on August 8, 2014, 10:01 am
No Documents Attached
Spring 2014
IE 4345 - Ie 4345-001 Knowledge and Technology Management
Office Hours (also by appointment)
DayStartEnd
Tuesday3:30PM5:00PM
Thursday3:30PM5:00PM
Review of contemporary issues in knowledge management, knowledge engineering, technology management, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, artificial intelligence technologies, designs and tools, and collaborative development.
Last Updated on December 20, 2013, 1:51 pm
No Documents Attached
Spring 2014
IE 5345 - Management of Knowledge and Technology
Office Hours (also by appointment)
DayStartEnd
Tuesday3:30PM5:00PM
Thursday3:30PM5:00PM
Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development.
Last Updated on December 20, 2013, 1:56 pm
No Documents Attached
Fall 2013
IE 4339 - Product Development, Producibility and Reliability Design
This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized.
Last Updated on August 29, 2013, 9:09 am
No Documents Attached
Fall 2013
IE 5339 - Product Design, Development, Producibility, and Reliability Design
This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized.
Last Updated on August 29, 2013, 9:10 am
No Documents Attached
Fall 2013
IE 5346 - Technology Development and Deployment
Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration.
Last Updated on August 29, 2013, 9:11 am
No Documents Attached
Spring 2013
IE 4345 - Knowledge and Technology Management
Review of contemporary issues in knowledge management, knowledge engineering, technology management, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, artificial intelligence technologies, designs and tools, and collaborative development. Prerequisite: junior standing. 
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Spring 2013
IE 5345 - Management of Knowledge and Technology
Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development. Prerequisites: graduate standing.
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Spring 2013
IE 4349 - Automation and Robotics II
Project oriented course focusing on the design, implementation, and operation of technology. An in-depth study of the design and deployment of industrial technology to meet the needs of high-precision, multi-product environments. The laboratory activities associated with the course provide practical experience. Prerequisite: IE 4325.
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Spring 2013
IE 6310 - Industrial Robot Applications
Project oriented course focusing on the requirements and selection criteria for the integration of technology into simple and complex industrial activities. Prerequisite: IE 5330
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Fall 2012
IE 5339 - PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN
This course covers product development and engineering design process with a focus on collaborative design. Software, manufacturing, reliability, testing, logistical and product support considerations are emphasized.  Prerequisite: graduate standing.
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Fall 2012
IE 4339 - PRODUCT DEVELOPMENT, PRODUCIBILITY AND RELIABILITY DESIGN
This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized. Prerequisite: Junior standing.
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Fall 2012
IE 5346 - TECHNOLOGY DEVELOPMENT AND DEPLOYMENT
Description: Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration. Prerequisites: graduate standing.
Last Updated on May 22, 2013, 10:48 am
No Documents Attached
Spring 2011
IE 4349 - Automation and Robotics II
Project oriented course focusing on the design, implementation, and operation of technology. An in-depth study of the design and deployment of industrial technology to meet the needs of high-precision, multi-product environments. The laboratory activities associated with the course provide practical experience. Prerequisite: IE 4325 and instructor approval.
No Syllabus Attached!
No Documents Attached
Fall 2010
IE 5339 - PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN
This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized. Prerequisite: junior standing
No Syllabus Attached!
No Documents Attached
Fall 2010
IE 5339 - PRODUCT DESIGN, DEVELOPMENT, PRODUCIBILITY, AND RELIABILITY DESIGN
This course covers the product and process development and engineering design process with focus on collaborative design in the enterprise environment. Manufacturing, reliability, testing, logistical and product support considerations are emphasized. Prerequisite: junior standing
No Syllabus Attached!
No Documents Attached
Fall 2010
IE 4339 - PRODUCT DEVELOPMENT, PRODUCIBILITY AND RELIABILITY DESIGN
Survey of topics in concurrent engineering, collaborative design, producibility and reliability in the product development process.Prerequisite: Junior standing.
No Syllabus Attached!
No Documents Attached
Fall 2010
IE 5346 - TECHNOLOGY DEVELOPMENT AND DEPLOYMENT
Description: Review of management issues in developing and implementing new technologies and methodologies into an organization. Topics include technology forecasting, management of technology based projects, technological competitiveness, technology alliances, and collaboration. Prerequisites: graduate standing.
No Syllabus Attached!
No Documents Attached
Spring 2010
IE 4349 - Automation and Robotics II
Study of the design, implementation, and operation of robotics technology. An in-depth study of the design and deployment of industrial automation and robotics technology to meet the needs of high-precision, multi-product production environments. The laboratory activities associated with the course provide practical experience in the areas of sensor-driven automated process development, industrial vision, modular and reconfigurable automation, simulation-based system design and an introduction to computer-based manufacturing control and execution technologies. Prerequisite: IE 4325 and instructor approval.
No Syllabus Attached!
No Documents Attached
Spring 2010
IE 6310 - Industrial Robot Applications
A study of the requirements and selection criteria for the integration of robots into simple and complex industrial activities. Prerequisites: Graduate standing.
No Syllabus Attached!
No Documents Attached
Spring 2010
IE 5345 - Management of Knowledge and Technology
Review of contemporary issues in knowledge management, databases, decision support systems, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, data mining, knowledge transfer, and collaborative development. Prerequisites: graduate standing.
No Syllabus Attached!
No Documents Attached
Spring 2010
IE 5341 - Knowledge Engineering and Knowledge Management
No Description Provided.
No Syllabus Attached!
No Documents Attached
Spring 2010
IE 4345 - Knowledge and Technology Management
Review of contemporary issues in knowledge management, knowledge engineering, technology management, and intelligent systems. Topics include knowledge acquisition, intelligent database design, decision support systems, artificial intelligence technologies, designs and tools, and collaborative development. Prerequisite: junior standing.
No Syllabus Attached!
No Documents Attached
Fall 2009
IE 3315 - Operations Research
Introduction to the major deterministic techniques of operations research and their application to decision problems. Linear programming, integer programming, network analysis, dynamic programming, nonlinear programming. Course software is used. Project required. Prerequisite: IE 3301 or concurrent enrollment and MATH 2326.
No Syllabus Attached!
No Documents Attached
December -
CO-FOUNDER

Micro Fabrication Laboratory

Auto ID Labratory

Uncategorized
December -
Committee on Active Learning and Higher Order Thinking
2007-2012
Uncategorized
December -
Member of SAKS Quality Evaluation Plan (QEP) investigating new methods of “Active Learning” to improve “Higher Order Thinking Skills across UTA
2006-2007
Uncategorized
December -
Faculty Senate

Chair, 2007-2009
Chair Elect, 2006-2007
Secretary, 2004-2005

Uncategorized
December -
Co-Chair of Provost Search Committee
2007
Uncategorized
December -
QEP Steering committee
2006-2007
Uncategorized
December -
Chair of Engineering Promotion and Tenure Committee
2005
Uncategorized
December -
UT System Faculty Advisory Committee
2005-2010
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