This course is a subsequent course of "Data Design and Management". In this course, concepts of web-database connectivity, and related development techniques/tools based on client and server-side programming are discussed. Standard methods and protocol for knowledge representation and exchange over the web such as XML, RDF, SOAP, WSDL, and UDDI for semi-structured data are introduced, and finally data warehousing, data mining, and big data issues are covered.

The evolution of information and communication technologies has fundamentally shifted how people, big business, and governments communicate and conduct business. The modern world is experiencing disruptive innovation. However, schools have not experienced the same philosophical and technological shift as the rest of the world. Many of the pedagogical practices and instructional resources have remained unchanged for far too long. Learners entering the globalized workforce are ill-prepared. In essence, schools must prepare learners for their futures, not our past. In this course, learners will explore emerging issues related to teaching, learning and assessment in the 21st century. They will explore the pervasive nature of disruptive innovation and identify the essential skills needed by students to survive in the new workforce.

Creates awareness of recurring issues and tensions inherent in providing educational opportunities in higher education in a democratic society. Examples are: impact of economic, social, political, demographic, linguistic and cultural diversity on equity and equal access; ethical issues confronting administrators, faculty, staff and policy-makers; tensions between individual and collective interests and the actors who advocate for these interests; limits of democratic authority, difficulties associated with shared governance, and presumed equality of educational opportunity in a democratic society. This course introduces the process(es) by which such policies are accomplished: identifying context and relevant antecedents, framing of problems and solutions within policies, policy implementation and anticipating and responding to policy intended and unintended consequences. The course includes theoretical and applied readings on state and national policy issues as they affect the higher education environment and the learning needs of mainstream and nonmainstream students.
Provides an introduction to the risk-analysis paradigm where organizations intentionally manage, assess, and communicate about risk. Risk management is about making effective decisions under conditions of uncertainty. A generic risk-management model is introduced and developed. Students learn to apply several risk-management methodologies.

RIS 601: Uncertainty introduces learners to epistemic and aleatory uncertainty and the most common ways of quantifying and otherwise addressing uncertainty encountered in their work. Methods for expressing uncertainty are introduced, probability concepts and the Monte Carlo process are reviewed and a method for choosing a probability model to represent quantitative uncertainty is presented. Students learn to represent uncertainty using probability distributions. (Requires student version of Palisades @RISK software—a free student version of the software is available with the purchase of the text book.)