TEMPLE UNIVERSITY

Undergraduate Bulletin for 1998-99

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School of Business and Management


Course Descriptions
NOTE: Prerequisites to all courses in the School of Business and Management numbered 0100 and above require matriculation and the completion of 57 s.h., in addition to any individual course prerequisites or GPA requirement.

Course Descriptions for:


01507/Risk Management and Insurance

Risk Management and Insurance 0001 is a prerequisite for all other Risk Management courses.

0001. Introduction to Risk Management (3 s.h.) FS
Prerequisite: Completion of either Economics C051 or C052 and sophomore standing.
Introduction to the study of risk management and insurance. Principal casualty risks to which organizations are exposed, including those involved in employee benefits. Means of identification, evaluation, and treatment of these risks are analyzed, with the methods of treatment including insurance, risk retention, self-insurance, and loss control.

0091. Introduction to Risk Management-Honors (3 s.h.) F
Prerequisite: Completion of either Economics C051 or C052. Open only to business designated honors students or with special permission. May be used to fulfill the risk management and insurance requirement of the School of Business and Management. The honors section of Risk Management and Insurance 0001.

0110. Personal Risk and Money Management (3 s.h.) S
Prerequisite: Risk Mangement and Insurance 0001. (Not counted toward Risk Management and Insurance major requirements.)
Analysis of major personal risks and financial matters confronting consumers at different stages of the life cycle. Focus will be on identifying and finding alternative techniques for managing them. Topics include budgeting; consumer credit; personal loss control; auto, home, life, and health insurance purchasing; stocks and bonds, and mutual funds; and income taxes.

0305. Life and Health Insurance and Employee Benefits (3 s.h.) FS
Prerequisite: Risk Mangement and Insurance 0001.
Analysis of the major areas in other-than-retirement employee benefits. Considerations in benefit plan design, group insurance and the group technique, life, health, and disability income insurance and miscellaneous types of benefits offered. The increasing use of flexible benefit plans, funding issues, tax implications and health care cost containment are also examined.

0306. Retirement Plans (3 s.h.) FS
Prerequisite: RMI 0001.
Contemporary fundamentals of pension plans. Major subject areas covered include history and development, plan design, actuarial aspects (costs and funding), investment of plan assets, and plan termination insurance. Provides an understanding of the types of individual account retirement plans available. Discussed are profit-sharing plans, thrift and savings plan, cash or deferred arrangements, employee stock ownership and stock bonus plans, individual retirement accounts, simplified employee pensions, tax- deferred annuities, and executive retirement arrangements. Certain functional areas applicable to all types of retirement plans such as taxation, plan installation, disclosure, and fiduciary aspects are also discussed.

0309. Property and Liability Insurance Coverages (3 s.h.) FS
Prerequisite: RMI 0001.
This course evaluates property, net income, and liability loss exposures, analysis of insurance contracts, and specific insurance coverages designed to handle the above exposures.

0310. Property and Liability Insurance Operations (3 s.h.) FS
Prerequisite: RMI 0001.
Functional insurance areas of rate making, underwriting, marketing, loss control, and claims are studied. Insurance company financial structure and operations analysis is included.

W320. Advanced Topics in Health and Welfare Employee Benefits (3 s.h.)
Prerequisite: RMI 0305.
This course covers advanced topics in health and welfare benefits. Analysis of medical care cost inflation, managed care systems, retiree medical coverage, long term care, Medicare and Medicaid problems and issues, national health insurance proposals, advanced funding arrangements, and flexible benefits plans are among the topics covered.

0350. Actuarial Applications in Risk Management and Insurance (3 s.h.) S
Prerequisite: RMI0001, Statistics 0022 and Finance 0103.
Applies theoretical models to insurance problems and is the real-world counterpart to theories discussed in actuarial science, risk management, and insurance courses. The course is divided into two parts: (1) statistical applications and (2) finance and economic applications. Discusses probability distributions frequently used to model losses and inferences which can be made from claims data (e.g., goodness of fit and experience rating). The finance section includes application of portfolio theory to the value of the firm (with and without insurance) to reinsurance decisions and captive insurance situations.

0360/W360. Corporate Risk Management (3 s.h.)
Prerequisite: Major or concentration in risk management and insurance; successful completion of RMI 0309 and 0310 with a grade of B or better, or permission of department chairperson.
Study and analysis of the risk management process, analysis of the primary function of the risk management decision and administrative processes, including setting objectives, identifying and evaluating loss exposures, considering and selecting best alternative treatment(s), implementing the program, and monitoring the results. Special topics include retention, alternative market solutions, loss control philosophy, cost of risk allocation, corporate insurance, and non-insurance transfers.

0394. Special Topics (3 s.h.)
Special topics in current developments in the field of risk management and insurance.

0395-0396. Independent Study (1-6 s.h.) FS
Prerequisite: Consultation with a faculty member and approval of department chairperson.
Readings and/or papers under supervision of a faculty member.

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01512/Statistics

C011. Basic Quantitative Foundations for Business and Economics I (3 s.h.) (MA) FS
Fundamentals of finite mathematics necessary for a business student to pursue statistics and other quantitatively oriented business courses. All topics and illustrations are specifically directed to applications in business and economics. Topics include algebra and geometry of linear and polynomial equations, logarithm and exponential functions, interest rate calculations, and elementary matrix manipulation.

C012. Basic Quantitative Foundations for Business and Economics II (3 s.h.) (MB) FS
Prerequisite: C- or better grade in Statistics C011 or in Mathematics C055. Continuation of Statistics C011.
Introductory calculus. Topics include differentiation and integration of polynomial, logarithmic, and exponential functions. Business applications.

C021. Statistical Methods and Concepts (3 s.h.) (MB) FS
Prerequisite: C- or better grade in Statistics C011 or H091, or in Mathematics C055, C075, or C085.
A survey course covering descriptive statistics and an introduction to probability and to statistical inference. Topics include probability distributions, random sampling and sampling distributions, point and interval estimation, and hypothesis testing.

0022. Selected Statistical Topics (3 s.h.) FS
Prerequisite: C- or better grade in both Statistics C021 and calculus (one of the following: Statistics C012 or Mathematics C066, C075, or C085).
Continuation of Statistics C021. Topics include regression, correlation, analysis of variance, time series, chi-square tests, and sampling. Use of a statistical computer package.

H092. Basic Quantitative Foundations for Business and Economics (3 s.h.) (MB) F
Prerequisite: Special permission. Open only to designated honors students. This course may be used to fulfill the Statistics C012 requirement of the School of Business and Management.
Differential and integral calculus. All topics and illustrations specifically directed to applications in business and economics.

H093-0094. Basic Statistics for Business and Economics (3 s.h. each) (MB for H093) FS
Prerequisite: Statistics H092 or Mathematics C075 or C085. Open only to business designated honors students or with special permission.
This sequence may be used to fulfill the statistics requirements of School of Business and Management. First semester: data sources, summary measures, probability, random variables, distributions, sampling, estimation and testing, and statistical software. Second semester: bivariate distributions, linear regression, multiple regression, analysis of variance, non-parametric and robust methods, contingency tables, and goodness of fit tests.

0103. Statistics for Engineers (3 s.h.) FS
Prerequisite: Math C075. Not to be taken by School of Business and Management students; open only to engineering students. Students may elect the optional computer lab Statistics 0279 for 1 s.h.

Descriptive statistics, inference, regression and correlation, and experimental design. Engineering applications.

0104. Quality Control and Experimental Designs in Engineering (3 s.h.)

0177. Introduction to Games of Chance (3 s.h.)
Prerequisite: Statistics 0022. A serious study of the games of chance. The statistical logic of various betting systems, such as poker, pari-mutuel betting on horses, casino games, state lotteries; many business decisions as games of chance.

0204. Introduction to Survey Design and Sampling (3 s.h.)
Prerequisite: Statistics 0022. This introductory course will acquaint the student with the tasks and problems encountered in a survey. Emphasis will be placed on both the theory and methodology of surveying and include sampling principles, sample design, questionnaire construction, and response problems. A few well-known surveys will be briefly reviewed for content and methodology.

0206. Industrial Statistics and Quality Control (3 s.h.)

0217. Probability Models in Business Decisions (3 s.h.)

0278. Statistics for Experiments (3 s.h.) F
Prerequisite: Mathematics 0076 and completion of Core Science SA and SB. Basic statistics for students studying a laboratory science. Not to be taken by statistics majors. Data summarization, introduction to probability, probability distributions, estimation, test of hypotheses, laboratory quality control, survey design and clinical trials, analysis of count data, principles of analysis of variance, and regression analysis. Use of the Minitab statistics software package. Students may elect the optional computer lab Statistics 0279 for 1 s.h.

0279. Statistical Computation Lab (1 s.h.) FS
Corequisite: Statistics 0103 or 0278. Optional laboratory to develop skills in using statistical computer packages for data analysis and data management.

0285. Introduction to Data Analysis (3 s.h.)
Prerequisite: Statistics 0022.
Covers techniques for summarizing and displaying data. Exploratory data analysis methods include stem-and- leafs, robust statistics, and resistant line fitting. Methods for analyzing categorical data.

0302. Data Analysis (4 s.h.) S (alternate years starting in 1996)
Prerequisite: Statistics 0285 and one other 200-level statistics course.
The logic and method of data analysis. We will start with a specified research question, find some data which are pertinent to this question, and analyze them. The analysis will proceed first by studying the univariate statistical distributions of relevant variables, then will move on to bivariate and multivariate methods. Students will write about their research question; emphasis will be placed on the interaction between the results of data analysis and the revision of the research question. The course is cross listed with Sociology 0302 and Sociology 0564.

0318. Forecasting Methods and Applications (3 s.h.)
Prerequisite: Statistics 0022.
Covers methods of forecasting. Topics include smoothing methods, Box-Jenkins methods and other time series techniques. Applications include economic forecasting, marketing projections, and financial modeling.

0351. Intermediate Business Statistics (3 s.h.) F
Prerequisite: Statistics 0022.
Topics will be chosen from multiple regression, analysis of variance, forecasting, and time series. Standard statistical packages will be introduced and used extensively. The course will emphasize applications in business such as financial forecasting, production management, and actuarial science.

0381. Computational Techniques in Statistical Analysis (3 s.h.) (alternate years starting in 1996)
Prerequisite: Any 0200-level Statistics course and Mathematics 0147.
he design and construction of statistical program packages. Data management and data analysis algorithms, interactive behavior of programs, communication between components of large software systems, designing for more than one computing environment.

0394. Special Topics (3 s.h.)
Special topics in current developments in the field of statistics.

0395-0396. Independent Study (1-6 s.h.) FS
Prerequisite: Consultation with a faculty member and approval of department chairperson.
Readings, papers and/or laboratory work under supervision of a faculty member.

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Comments and questions concerning The School of Business & Management may be sent to Debbie Avery.