Focus on measuring, quantifying, and predicting risk from the viewpoint of the enterprise, and not isolated areas of risk; development of an ontology of the enter risk management (ERM) domain; how three major types of risk, financial, operational and strategic, are further deconstructed into other areas of risk such as cyber, reputational, etc.; analysis of risk at the enterprise level that spans different business lines of the enterprise, with a drill down within a business line, and the relationships between the different risk domains; discussion of certain technologies such as artificial intelligence, machine learning, Monte Carlo simulation and Bayesian Belief Networks as data analytics mechanisms for enterprise risk data analytics and the strengths, weaknesses and opportunities for each within the field of risk management Credits 3. 3 Lecture Hours.
Focus on measuring, quantifying, and predicting risk from the viewpoint of the enterprise, and not isolated areas of risk; development of an ontology of the enter risk management (ERM) domain; how three major types of risk, financial, operational and strategic, are further deconstructed into other areas of risk such as cyber, reputational, etc.; analysis of risk at the enterprise level that spans different business lines of the enterprise, with a drill down within a business line, and the relationships between the different risk domains; discussion of certain technologies such as artificial intelligence, machine learning, Monte Carlo simulation and Bayesian Belief Networks as data analytics mechanisms for enterprise risk data analytics and the strengths, weaknesses and opportunities for each within the field of risk management Credits 3. 3 Lecture Hours.
