Events

First day of Spring semester classes.

Learn how you can pair your knack for technology with a business degree from The University of Alabama. Attend an Open House on January 22nd from 5-7 P.M. in Bidgood Hall and discover new programs from the Manderson Graduate School of Busines:

Master of Science in Management Information Systems

Virtually all software used today — the source of so much automation and disruptive innovation in our world — is created by human beings. Simply put, software cannot create new software. Instead, software solutions must be created by people: teams of highly skilled information technology professionals, who together perform a creative, challenging, and highly labor-intensive process.

The Master of Science in Management Information Systems, or MSMIS, prepares students to contribute to and, ultimately, to lead information technology teams in designing and delivering software solutions that effectively address real-world business needs

Master of Science in Business Analytics

Due to increases in the quantity and quality of accessible data, along with improvements in computing technology, the importance of analytics has grown dramatically over the past few years in all sectors. As a result, the demand for graduates with analytics skills has also increased.

The University of Alabama’s Master of Science in Business Analytics (MSBA) program focuses on teaching students how to use statistics, operations research/management science, data mining, machine learning, probability, algorithms, and data management in an integrative fashion to better understand, predict, and manage the behavior of systems and processes

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Click “Learn More” to RSVP.

This session is focused on your idea and you. Participants will be given FREE access to a software platform that will help with moving from an idea to a business plan and the system supports working with mentors too. Please bring your laptop so you can participate in these workshops.

ABSTRACT

Some practical issues are addressed involving the control of the number of false alarms in process monitoring. This topic is of growing importance as the number of variables being monitored and the frequency of measurement increase. An alternative formulation for evaluating and comparing the performance of control charts is given based on defining in-control, indifference and out-of-control regions of the parameter space. Methods are designed so that only changes of practical importance are to be detected quickly. This generalization of the existing framework makes control charting much more useful in practice, especially when many variables are being monitored. It also justifies to a greater extent the use of cumulative sum (CUSUM) methods.

ABOUT DR. WOODALL

William H. Woodall recently retired as a Professor of Statistics at Virginia Tech. He is a former Editor of the Journal of Quality Technology (2001–2003) and Associate Editor of Technometrics (1987–1995). He has published over 150 refereed journal papers, most on various aspects of process monitoring. He is the recipient of the ASQ Shewhart Medal (2002), ENBIS Box Medal (2012), William G. Hunter Award (2019), Jack Youden Prize (1995, 2003), ASQ Brumbaugh Award (2000, 2006), Ellis Ott Foundation Award (1987), Soren Bisgaard Award (2012), Lloyd S. Nelson Award (2014), and an IIE Transactions on Quality and Reliability Engineering best paper award (1997). He is a Fellow of the American Statistical Association, a Fellow of the American Society for Quality, and an elected member of the International Statistical Institute. Current research interests include sampling issues related to process monitoring, risk-adjusted outcome monitoring in healthcare applications, and social network monitoring.

Public Health Screening: Models, Algorithms, and Policies

Screening for diseases is an important, and extensively used, public health tool. Early detection can improve clinical outcomes and reduce the spread of infectious diseases, and is especially beneficial for diseases that have slow to develop and/or initially non-specific symptoms (e.g., Babesiosis, Zika, hepatitis, cystic fibrosis). A major challenge is to design public health screening policies that can classify a large number of subjects, having different risk factors, in an accurate and equitable manner, with limited resources and imperfect tests. Dr. Bish’s talk will draw upon the body of research that she has conducted over the years within a variety of screening contexts, ranging from donated blood screening for transfusion transmissible infections, to population-level infectious disease screening, to newborn screening for genetic diseases. She will present an overview of this research area, discuss open research questions, provide several key models to optimize resource allocation in public health screening, and highlight the challenges and opportunities.

About Dr. Ebru Bish

Dr. Bish is the recipient of the INFORMS Pierskalla Award for the Best Paper in Healthcare; INFORMS JFIG Best Paper Award; IIE Transactions Best Applications Paper Award; and her PhD students have received several awards for their dissertation work, including the INFORMS Bonder Scholarship in Applied Operations Research in Health Services, and the IISE Pritsker Doctoral Dissertation Award. She has published in leading operations research, biostatistics, and medical journals, including Operations Research, Management Science, IISE Transactions, Naval Research Logistics, Biostatistics, Transfusion, and Statistics in Medicine, among others.

Dr. Bish’s research has been funded multiple times by the National Science Foundation, and by the Agency for Healthcare Research and Quality (AHRQ); and she has extensively collaborated with industry partners, with recent partners including the American Red Cross, North Carolina State Laboratory of Public Health, and Carilion Clinic.