|I am currently teaching the following courses.
More details about the courses can be found at Villanova's
- VSB 1015: Business Dynamics
The Business Dynamics (BD) course is intended to provide
new VSB students with an understanding of the nature and purpose
of a business enterprise. In other words, the course is intended
to ground students in the context of business: the objectives of
business, its capabilities to be able to accomplish the mission,
and the skill sets a twenty-first century effective business
person should possess. This course should also provide students
with an idea as to why they are taking the subsequent courses,
and motivate and excite them about the rest of the curriculum at
VSB. BD serves as the first step in preparing students to become
creative and innovative problem solvers, who can ethically adapt
to changing business conditions in a global economy. Students
should come away from the course with important general skills
such as problem solving, analytical skills and techniques,
business writing skills, and presentation skills. They should
also acquire fundamental knowledge of how business disciplines
specifically contribute to business success.
- MIS 2030: Database Management
This course is designed to give the
students an understanding of the theoretic and practical issues
related to the management of a database in a business
environment. To accomplish this, lecture material on database
concepts such as data modeling using entity-relationship models
and its implementation with SQL is combined with the extensive
use of MS Access and MS SQL to complete homework and solve
selected cases related to the material in the text.
Characteristics and management of distributed databases and
Client/Server database technologies are discussed as well.
- MBA 8330: Big Data - Theories and Practice
A number of factors contribute to increasing
the volume, velocity, and variety of data, causing the new
phenomenon of Big Data to become an unavoidable IT challenge.
This MIS special topics course will examine Big Data from both
theoretical and practical perspectives in a condensed 2-weekend