Lisa L. Posey

BA 512 – Risk and Decisions

Construction and use of quantitative methods in business decision-making.

INS 301 – Risk and Insurance

Introduction to the principles and methods of handling business and personal risks; emphasis on insurance techniques.

INS 310W – Property and Liability Insurance Market (W)

Property and liability insurance industry and company operations.

INS 395 – Internship

Supervised off-campus, nongroup instruction including field experiences, practica, or internships. Written and oral critique of activity required.

INS 405 – Corporate Risk Management

Insurance management for corporate organizations; self-insurance, risk transfer, and other alternatives to insurance.

INS 496 – Independent Studies

Creative Projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.

INS 497C – The Economics of Biotechnology, Phamaceuticals and Health Insurance (C)

The course provides an overview of the economic and management issues facing the biotechnology and pharmaceutical industries. Topics covered will include R&D, financing, alliances and joint ventures, M&A, production, marketing and the important role of pu

INS 575 – Risk Management

Develop an understanding of the risks facing corporations and the methods available to deal with those risks.

R M 301 – Risk and Decisions

Introduction to decision-making under uncertainty. Mathematical probability and statistics, decision theory and game theory will be studied.

R M 320W – Risk Management and Insurance (W)

Goals and methods of risk management. Commercial insurance and alternative risk transfer (ART) methods in addition to the characteristics of insurance markets and intermediaries used by risk managers.

R M 496 – Independent Studies

Creative Projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.

RM 301 – Risk and Decisions

Introduction to decision-making under uncertainty. Mathematical probability and statistics, decision theory and game theory will be studied. R M 301 Risk and Decisions (3) Most tough business decisions involve risk. Smark risk-taking requires special analytical problem solving skills and careful consideration of the relevant data. In this course, you will learn how to conceptualize decisions involving risk, how to analyze your choices, how to estimate the risk, and how to communicate and defend your analysis to others. The skills and tools you will learn come from economics, probability, statistics, and game theory. The focus will be on how the tools from these fields are applied to real world business decisions in risky environments. The concept of risk diversification will be discussed under both independent and correlated risks. Decision rules such as expected value maximization and expected utility maximization will be covered. The role of risk aversion of the decision-making process will be discussed along with how it can be measured. The study of decision analysis will include the use of decision tress. The basic concepts in game theory will be introduced. Students will learn what a Nash equilibrium is and how to derive such an equilibrium. More complicated games with incomplete information will be introduced which are important in decision-making where parties often are missing key pieces of information but must still choose a business strategy. Problems of asymmetric information will be studied; these situations arise when one party to a transaction or contract has more information relevant to the decision than the other party. For these types of problems, such as adverse selection and moral hazard, optimal solutions will be discussed.

RM 320 – Risk Mgmt and Ins

RM 320W – Risk Mgmt and Ins (W)

Goals and methods of risk management. Commercial insurance and alternative risk transfer (ART) methods in addition to the characteristics of insurance markets and intermediaries used by risk managers. R M 320W Risk and Decisions (3) Most tough decisions involve risk. Smart risk-taking requires special analytical problem solving skills and careful consideration of the relevant data. In this course, you will learn how to conceptualize decisions involving risk, how to analyze your choices, how to estimate the risk, and how to communicate and defend your analysis to others. The skills and tools you will learn come from economics, probability, statistics, and game theory. The focus will be on how the tools from these fields are applied to real world business decisions in risky environments. The concept of risk diversification will be dsicussed under both independent and correlated risks. Decision rules such as expected value maximization and expected utility maximization will be covered. The role of risk aversion in the decision-making process will be discussed along with how it can be measured. The study of decision analysis will include the use of decision trees. The basic concepts in game theory will be introduced. Students will learn what Nash equilibrium is and how to derive such an equilibrium. More complicated games with incomplete information will be introduced which are important in decision-making where parties often are missing key pieces of information but must still choose a business strategy. Problems of asymmetric information will be studied; these situations arise when one party to a transaction or contract has more information relevant to the decision than the other party. For these types of problems, such as adverse selection and moral hazard, optimal solutions will be discussed.

RM 494H – Research Project (H)

Supervised honor student research projects identified on an individual or small-group basis.

RM 496 – Indep Studies

Creative Projects, including research and design, which are supervised on an individual basis and which fall outside the scope of formal courses.