Teaching

BUAD5072: Machine Learning 1. This is the first of two courses designed to equip students with the kinds of analytical skills used in the era of Big Data to reveal the hidden patterns in, and relationships among, data elements being created by internal transaction systems, social media and the Internet of Things. A family of analytical methods, collectively referred to as "Machine Learning" methods, has grown out of the Artificial Intelligence community and has become commonplace in many of the world’s leading analytics competitors. This first course focuses on the basics of machine learning, regression techniques, classification techniques and how to avoid over-fitting predictive models. The R language is used extensively in this course.

BUAD 5272: Database Management and Visualization (online). This course covers fundamentals of database management systems, principles and methodologies of database design, and techniques for database application development. You will also learn how to make appropriate choices in selecting the best data visualizations to make effective presentations that communicate information. By using a variety of practical, real-world applications, this course will prepare you for actual business analytics practice.

BUAD 5272: Database Management. This course provides coverage of the most fundamental issues and topics related to the development and use of databases and database systems. Half of the class covers operational database topics including: database requirements, entity relationship modeling, relational modeling database constraints, update anomalies, normalization, Structures Query Language (SQL), the database front end and data quality.  The second half of the class focuses on analytical database topics which includes coverage of data warehousing concepts, dimensional modeling (star schemas), data warehouse/data mart modeling approaches, the extraction/transformation/load (ETL) process, online analytical processing (OLAP)/business intelligence (BI) functionalities and the data warehouse/data mart front end.  

BUAD 5211-01: IT Infrastructure and Business Transformation. This course has two foci related to information technology, the first emphasizing technology and the second emphasizing information, and IT-Enabled Technological Transformations in the modern firm. The objective in the technology focus is to provide students with advanced skills in the computer technologies of the modern workplace—namely spreadsheets and visualization tools. When applied creatively, these technologies enable more efficient execution, enhance decision making and support the design of more effective business processes, all of which are essential for success in an increasingly competitive business environment. In the second focus, students will gain an understanding of how IT enables fundamental transformations in firms, markets, products and business processes through readings and case discussions. These transformations have important implications for the way companies organize (both internally and with customers and suppliers) and compete. Accordingly, this focus addresses the management issues surrounding the impact of information technology in organizations and is designed with the line and general managers in mind, rather than the managers of the IT function.  

Business Analytics (ISM4420). Explores data analysis and statistical methods as well as best practices for continuous iterative investigation of past business performance to gain insights and drive business planning.

Doctoral Seminar on Decision Support Systems (ISM 7126). Explores business analytics research in business.

Seminar on Health Informatics and Healthcare IT Research (HIM 7118). Healthcare Informatics is an exciting field to which Information Systems (IS) scholars have much to contribute. Healthcare IT (HIT) is an attractive topic for the IS community to embrace. Yet an IS scholar cannot delve into HIT without understanding the many salient differences and issues that introduce complexity; an IS scholar should not jump onto the HIT bandwagon without a clear understanding of the challenges and difficulties of conducting research in this context.  Includes exploring the medical informatics literature, IS Health Literature and writing and reviewing federal grants in Health IT.

Design and Management of Health Information Systems (HSA6197). Healthcare IT is experiencing a global boom and is expected to continue growing due to 1) the HITECH (2009) bill that authorizes nearly $20 billion to fund incentive payments for the use of health information technology systems, $3 billion to "jump start" I.T. adoption and improved interoperability and 2) the Patient Protection and Affordable Care Act (2010) which out health care information technology on center stage. This course outlines a thorough overview of information systems and their importance in the health care industry. 

Business Analytics in Healthcare (ISM6136). This course addresses various important aspects of healthcare analytics. Data generated via health information technology (HIT) can help organizations gain significantly deeper insight into their performance than previous technologies (or lack of technologies) allowed.  But healthcare organizations face the real threat of information overload as nearly every step of healthcare becomes computerized and creates data. This includes not just data created from electronic health records and patient portals but also medical devices, equipment tracking and scheduling systems, labs systems and many more.  This course investigates the many ways to centralize and analyze large amounts of data in order to harness the immense power of this information for better decision-making.

Data Mining (ISM6136).  In this course, data mining techniques are applied specifically to business problems.  We investigate customer churn, customer profiling, up-selling and cross- selling and targeted mailing campaigns.

Business Intelligence (ISM6136). This graduate course exposes the student to several aspects of Business intelligence (BI) by exposing them to the set of technologies, tools and procedures used by companies to collect, store, share data, and to perform data analysis.

Business Intelligence (ISM4402). This undergraduate course exposes the student to several aspects of Business intelligence (BI) by exposing them to the set of technologies, tools and procedures used by companies to collect, store, share data, and to perform data analysis.

Healthcare Informatics and Management (ISM6930). Driven by quantum advancements in IT and cost-effective technology, information systems methods and techniques are evolving to keep up with today’s information driven society.  This course investigates several of these important concepts in the rich context of Medical Informatics.  Both case studies and hand-on lab exercises are used to explore.

Introduction to Business Information Systems (CGS3300). Undergraduate course that teaches business majors how to use IT systems to master their jobs and to help ensure the success of their organization. Additionally, they learn advanced uses of the Office toolset.

Business and Economic Statistics II (QMB 3200). Undergraduate course that covers: simple linear regression and correlation, multiple regression and model building, forecasting models, analysis of variance, chi-square tests and non-parametric methods.

Database Administration (ISM 4212). An undergraduate course that introduces the concepts and principles of database management.