Database Design and
Implementation (MISY330). Lerner College of
Business and Economics, University of Delaware. Fall 2013.
This course covers the design and implementation of enterprise databases in the business environment. A networked setting and its effect on database management will be emphasized. [More information]
(BUSMIS1060). College of Business and Administration, University of
Pittsburgh. Spring (2011, 2012 and 2013) and Fall 2012. Latest
Instructor Rating: 4.76 out of 5. Katz Doctoral Program
Distinguished Teaching Awards (Fall 2012 and Spring 2013).
The goal of this course was to examine the role of Information Technologies in creating business value for organizations. This included recognizing ways to use systems to increase efficiency, improve performance, and support innovation. Additionally, the stress was on understanding the application of information systems to support more effective analysis, decision making and communication. Technologies introduced include Relational Databases, Analytic Hierarchy Process (AHP) and ERP systems. This course also introduced students to Data Mining Models as they are increasingly playing an integral part in creating Business Intelligence. Workshop sessions were conducted to familiarize students in Data Mining models by analyzing data sets. Models introduced were: Correlation/Regression analyses, Association Rules, K-Means Clustering, Discriminant Analysis, Decision Trees, Text and Web Mining (and time permitting, Neural Networks).[Syllabus]
Department of Computer
Science, University at Buffalo. Summer
This class examined different programming paradigms, such as imperative, functional, logic, procedural and object-oriented. Languages introduced were ML, Prolog, C, C++. The goal was to examine various programming paradigms and the associated languages and their grammars to understand the choices that have been made by language designers and how it affects their use by programmers. [Course Website] [Course Textbook]