Courses
The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times.
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MET AR 802: Internship in Arts Administration I
This course provides provide guidance in identifying, securing, and preparing for your internship experience. There will be three class meetings that operate on a seminar model. Students will have the opportunity to discuss their plans and concerns as they begin the process of identifying an internship site and applying for internships. Class sessions will also include specific instructions on preparation of resumes, job-hunting techniques, effective presentation, and the like. There are two Saturday morning workshops, one devoted to resume preparation (required) and one on making effective presentations (optional but strongly recommended). Arts Administration degree students only. -
MET AR 803: Internship in Arts Administration II
This course provides guidance to students as they undertake the internship experience. Students will meet individually with the instructor to report on their experience and receive feedback. Students will have the opportunity to share their experiences and "lessons learned" with their classmates, and to provide advice and guidance to students who are in the planning stages of their own internships. Students may not register for MET AR 803, or begin their actual internship until they have completed a minimum of six of the ten required courses. Arts Administration degree students only. -
MET AR 804: Advanced Management and Consulting for Arts Organizations
The purpose of this course is to increase students' ability to analyze and solve problems that confront arts organizations. Students will apply financial, marketing, fundraising, and legal knowledge and techniques to (1) in-class discussion of key management issues of concern to senior leadership, and (2) a semester-long consulting project which partners and team of students with a local arts organization. Permission from instructor required/arts administration students only. Students may not register for MET AR 804 until they have completed a minimum of six required courses. -
MET AR 810: Thesis I
Two consecutive two-credit courses (MET AR 810 Thesis I and MET AR 810 Thesis II) will give students the tools they need to be informed consumers and producers of arts administration research. The thesis must be completed within 12 months. Only students who have completed six courses in the Arts Administration master's degree program and have a GPA of 3.7 or higher may enroll in MET AR 810 and MET AR 811. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be a part-time faculty member with a doctorate. -
MET AR 811: Thesis II
Two consecutive two-credit courses (MET AR 810 Thesis I and MET AR 810 Thesis II) will give students the tools they need to be informed consumers and producers of arts administration research. The thesis must be completed within 12 months. Only students who have completed six courses in the Arts Administration master's degree program and have a GPA of 3.7 or higher may enroll in MET AR 810 and MET AR 811. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be a part-time faculty member with a doctorate. -
MET AS 101: The Solar System
One of the great achievements of modern science is to understand where we are in space and time. Since the 1920's, we have known our cosmic address in the Milky Way galaxy, and from the 1930's on we have been refining our understanding of where we are in the history of the universe. This perspective has been hard-won, through persistent questioning, observation and creative thinking, and its historical development parallels the development of the process of science. It has also led to our present efforts to understand the origin and evolution of life as well as the future of our planet and the very existence of humanity. Since the 1970's, we have been enjoying a remarkable period of solar system exploration. We have landed on and flown by worlds both nearby and far away allowing us to download maps of other solar system objects onto our hand-held devices. With new, larger telescopes, we have discovered new planetary systems, new classes of objects in our solar system and even revised the definition of the word planet. Most profoundly of all, we are actively searching for life elsewhere in our solar system. In this course we will examine how we came to our present understanding of our place in the universe and the recent discoveries that are making solar system science so exciting. -
MET AS 102: The Astronomical Universe
The birth and death of stars. Red giants, white dwarfs, black holes. Our galaxy, the Milky Way, and other galaxies. The Big Bang and other cosmological theories of our expanding universe. Use of the observatory. Carries natural science divisional credit. -
MET AS 109: Cosmology
The course focuses on the evolution of cosmological thought from prehistory to the present. Topics include: Greek astronomy, including Copernicus, Galileo, Newton, and Einstein; motion, gravity, and the nature of space-time; the expanding universe; the early universe and the Big Bang. This course carries a natural science divisional credit (without lab) in MET. -
MET AT 602: Laboratory for Actuarial and Financial Data Analysis II
This course covers the usage of spreadsheet and database software in an insurance setting. The student will work on calculating premiums and analyzing loss metrics over the term while learning about the tools in Microsoft Excel and Access that help an actuary perform their analysis in a timely and accurate manner. Ten sessions. -
MET AT 721: Mathematics of Compound Interest
This course develops uses of interest as it relates to the theory of finance. Students will gain an understanding of interest calculations related to financial instruments such as bonds, mortgages, annuities, and financial instruments with non-level payment schemes. The material covered in this course may help students prepare for SoA/CAS Exam FM. -
MET AT 722: Finance for Actuaries
This course builds off of the topics covered in AT721 ("Mathematics of Compound Interest") by developing both basic and advanced models of corporate finance. Topics covered include net present value valuation, internal rate of return and profitability index models, capital budgeting models, and efficient market hypotheses. These tools will be used to understand and apply basic principles of option pricing theory, including the Black-Scholes formula with application to binomial lattice valuation. The material covered in this course may help students prepare for SoA/CAS Exam FM. -
MET AT 731: Actuarial Mathematics I
This course covers the fundamental principles of actuarial science. Students will be introduced to basic actuarial concepts of survival models, such as probabilities of survival and death, then use these concepts to develop expressions for life expectancies. Life insurance and life annuities are then introduced, and the course will develop detailed methods for the valuation of each, including payments made more often than annually. The final topic for the course is the methodology of calculation of premiums for both insurance and annuity models. For all these topics, a basic framework will be presented, then more sophisticated models are developed. The material covered in this course may help students prepare for SoA Exam LTAM. -
MET AT 732: Actuarial Mathematics II
This continues with the development of financial models first introduced in AT731 ("Actuarial Mathematics I"). Insurance Reserves are introduced, including methods for determining reserves, the impact of actuarial assumptions on the calculations, and the effect of real-world results that do not match those assumed. The expands on the material from AT731 by addressing multiple life and multiple decrement functions. The latter part of the course focuses on Multiple State/Markov Chains and pension mathematics. The material covered in this course may help students prepare for SoA Exam LTAM. -
MET AT 741: Actuarial Statistics I
This course provides students with the mathematical background to non-life models, such as medical and automobile insurance. Topics covered include severity loss models for claims and frequency models for occurrence of those claims. The severity and frequency models are then brought together, and aggregate models are addressee. During the semester, students are presented with modification to both severity and frequency models including deductibles and claims limits. The course emphasizes applications of statistical principles in actuarial models and modeling. The material covered in this course may help students prepare for SoA Exam STAM and CAS Exam MS II. -
MET AT 742: Actuarial Statistics II
This course expands on the material covered in AT741 ("Actuarial Statistics I)" by expanding the discussion of Aggregate Models. Actuarial statistical models are then addressed, including evaluation of both complete and incomplete data. Estimators for the actuarial models are developed in concert with these topics. The course also covers mathematical models for specific types of insurance, such as medical, automobile, and disability insurance. Credibility models comprise the final topic for the course, and the Buhlmann-Straub credibility model and Bayesian methods are discussed. The material covered in this course may help students prepare for SoA Exam STAM and CAS Exam MS II. -
MET AT 743: Regression and Time Series
Part I of this course will cover simple and multiple regressions, serial correlation, and heteroscedasticity, analysis of residuals, and stepwise analysis techniques. Part II will cover time series analysis including smoothing and extrapolation of time series, linear time series models, model building procedure, and forecasting, as well as case studies. -
MET AT 751: Individual Insurance Applications of Actuarial Principles
This course covers the application of basic actuarial principles to individual life and annuity financial security systems. Material covered will include the purpose of these systems, the development of financial security products, risk classification, actuarial pricing assumptions, the calculation of product cash flows, the purpose of reserves and different reserve methods. Taxation, required capital, profit measurement, and reinsurance considerations will also be studied. -
MET AT 752: Group Insurance Applications of Actuarial Principles
This course covers the application of basic actuarial principles to group life and group health financial security systems. Material covered will include the purpose of these systems, financial security product design and development, underwriting and risk management, premium determination, and the funding and valuation of group life and group health financial security systems. Group systems in the United States will be emphasized, but the course will also review the Canadian health system. -
MET AT 754: Casualty Insurance Principles
MET AT 754 is a survey of the Property and Casualty Industry from an actuarial science perspective. Topics will include the theory of insurance, including what risks are insurable, how to calculate premiums on them, and pay losses on the inevitable claims; the history of the insurance industry, focusing on court cases that shaped the current regulatory structure; the basic policy structures of homeowners, auto, and liability insurance; and reinsurance. -
MET AT 761: Mathematics for Investment and Portfolio Theory
This course covers the risk and return characteristics of primary financial products, fundamental principles of modern portfolio theory, term structures and yield curves, Markowitz Portfolio Selection Model, CAPM and its applications to portfolio management, derivative securities, duration, immunization, and interest rate risk management.

