core faculty members program...
TRANSCRIPT
The University of Texas at San Antonio™
COLLEGE OF ENGINEERINGThe University of Texas at San Antonio™
COLLEGE OF EDUCATIONAND HUMAN DEVELOPMENT
The University of Texas at San Antonio™
The University of Texas at San Antonio™
COLLEGE OF EDUCATIONAND HUMAN DEVELOPMENT
The University of Texas at San Antonio™ COLLEGE OF EDUCATIONAND HUMAN DEVELOPMENT
The University of Texas at San Antonio™
COLLEGE OF ENGINEERING
DEPARTMENT OF BIOMEDICAL ENGINEERING
DEPARTMENT OF MECHANICAL ENGINEERING
MASTER OF SCIENCE IN
ADVANCED MANUFACTURING AND ENTERPRISE ENGINEERINGengineering.utsa.edu/me
CONCENTRATION AREASAdvanced Manufacturing: Effective integration and syn-thesis of automation technologies, human resources, and decision making models that facilitate effi cient design, planning, scheduling and control of production of goods and provision of services.
Enterprise Engineering: Use of effective systems en-gineering tools, lean and six-sigma methodologies to engineer the entire enterprise or design and integra-tion of certain enterprise components for most effi cient products, process and business operations.
Sustainable Systems Engineering: Use of systems analysis methods to modeling, optimizing and manag-ing complex engineered, renewable energy and natural resource systems with an emphasis on understanding how sustainability issues affect the design, assessment, logistics and operations in order to effi ciently imple-ment sustainability and green initiatives in both public and private sectors.
PROGRAM OVERVIEWAs lean thinking, enterprise process re-engineering, and digital manufacturing are becoming more prevalent in the work place, engineering and science profes-sionals need to be prepared to address the enterprise as a holistic system of technologies, decision-making processes, and cultural components.
The Master of Science in Advanced Manufacturing and Enterprise Engineering (M.S. in AMEE) program is de-signed to offer an opportunity to individuals who are inspired for leadership positions in industry, govern-ment and academia.
The MS in AMEE is truly an interdisciplinary program founded on the strong collaboration of many academic departments and the Center for Advanced Manufactur-ing and Lean Systems (CAMLS). Graduate students are exposed to research problems through projects with the industry consortium members of CAMLS and its state-of-the-art laboratory facilities.
CORE FACULTY MEMBERSF. Frank Chen, Ph.D.Professor & Lutcher
Brown Distinguished Chair [email protected]
Can (John) Saygin, Ph.D. Professor
HungDa Wan, Ph.D. Associate Professor
Adel Alaeddini, Ph.D.Assistant Professor
Krystel K. Castillo, Ph.D.GreenStar Endowed Assistant
Professor in [email protected]
FOR MORE INFORMATION CONTACT Cayla Jimenez
[email protected](210) 458 - 6477
or any core faculty member listed above
ADMISSION REQUIREMENTSApplicants must meet University-wide graduate
admission requirements (http://utsa.edu/gcat/chapter1/admission.html). Due to the multidisciplinary nature of the program, each student’s transcript will be evaluated to determine course defi ciencies, if any, on a case-by-case basis. Individuals with backgrounds in science, engineering and technical business disciplines are
encouraged to apply.
DEGREE REQUIREMENTSThrough core and elective courses, students can
customize their programs of study according to their
specifi c needs, professional development related
goals, and career objectives in consultation with the
graduate program director, as well as their thesis
advisors.
A. Three credit hours of a Required Math Course,
selected from the following:
• EGR 5023 Numerical Techniques in Engineering
Analysis
• EGR 5213 Topics in Systems Modeling
• EGR 6013 Advanced Engineering Mathematics I
• EGR 6023 Advanced Engineering Mathematics II
• MAT 5603 Numerical Analysis
• MS 5003 Quantitative Methods for Business
Analysis
• STA 5093 Introduction to Statistical Inference
• STA 5103 Applied Statistics
B. Nine credit hours of Required Topical Courses,
selected from the following:
• ME 5503 Lean Manufacturing and Lean Enterprises
• ME 5563 Computer Integrated Manufacturing
• ME 5583 Advanced Enterprise Process
Engineering
• ME 5593 Advanced Topics in Manufacturing and
Enterprise Engineering
• ME 5603 Advanced Manufacturing Systems
Engineering
• ME 5703 Advanced Enterprise Systems
Engineering
C. Course requirements for either of the degree
options:
Thesis Option
Math Course: 3 hours
Topical Courses: 9 hours
Prescribed Electives: 12 hours
ME 6983 Master’s Thesis: 6 hours
Total: 30 credit hours
Non-thesis Option
Math Course: 3 hours
Topical Courses: 9 hours
Prescribed Electives: 18 hours
ME 5973 Special Project: 3 hours
Total: 33 credit hours
D. Prescribed Electives Courses:
Students may choose courses from Computer
Science, Electrical Engineering, Information Systems,
Mechanical Engineering, Management of Technology,
Management Science and Applied Statistics fi elds.
For a complete list of the prescribed elective
courses, please visit:
http://catalog.utsa.edu/graduate/engineering/mecha
nicalengineering/#degreestext
Bonus Certifi cate:
Individuals who successfully completed ME 5503, ME
5583, and EGR 5233 (with grades of B or better) will
receive a “Lean and Six-Sigma Greenbelt” Certifi cate
from the Center for Advanced Manufacturing & Lean
Systems.
LABS AND FACILITIESFlexible Manufacturing and Lean Systems (FMLS) Lab Technological advancement and tools of fl exible manufacturing systems and lean enterprise systems. Co-Directors: Dr. F. Frank Chen and Dr. Adel Alaeddini
Manufacturing Systems and Automation (MSA) Lab Effective and effi cient integration and synthesis of automation technologies, human resources, and decision-making models for design, planning, scheduling, and control of production of goods and delivery of services. Co-Directors: Dr. Can Saygin and Dr. Krystel Castillo
Sustainable Manufacturing Systems (SMS) Lab Evaluation and enhancement of sustainability of manufacturing systems in three major areas: Lean Operations, Digital Factory, and Green Processes Director: Dr. HungDa Wan