UTexas

Risk Management (R M)

R M 119S, 219S, 319S, 419S, 519S, 619S, 719S, 819S, 919S  Topics in Risk Management  1-9 Hours  

0 Lecture Hours  0 Lab Hours  
This course is used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office. Credit is recorded as assigned by the study abroad adviser in the Department of Information, Risk, and Operations Management. University credit is awarded for work in an exchange program; it may be counted as coursework taken in residence. Transfer credit is awarded for work in an affiliated studies program.
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Lower Division  

R M 129S, 229S, 329S, 429S, 529S, 629S, 729S, 829S, 929S  Topics in Risk Management  1-9 Hours  

0 Lecture Hours  0 Lab Hours  
This course is used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office. Credit is recorded as assigned by the study abroad adviser in the Department of Information, Risk, and Operations Management. University credit is awarded for work in an exchange program; it may be counted as coursework taken in residence. Transfer credit is awarded for work in an affiliated studies program.
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Upper Division  

R M 140S, 240S, 340S, 440S, 540S, 640S, 740S, 840S, 940S  Topics in Risk Management  1-9 Hours  

0 Lecture Hours  0 Lab Hours  
This course is used to record credit the student earns while enrolled at another institution in a program administered by the University's Study Abroad Office or the school's BBA Exchange Programs. Credit is recorded as assigned by the study abroad adviser in the Department of Information, Risk, and Operations Management. University credit is awarded for work in an exchange program; it may be counted as coursework taken in residence.
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Upper Division  

R M 357E  Introduction to Risk Management  3 Hours  

3 Lecture Hours  0 Lab Hours  
Principles of risk management for individuals and organizations, financial aspects of insurance companies and markets, industry structure, managerial aspects of underwriting and pricing, and public policy issues. Only one of the following may be counted: Risk Management 357E, Urban Studies 321R, 351 (Topic: Intro to Risk Management), 351 (Topic 6). Three lecture hours a week for one semester.
Same as: URB 321R  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division  

R M 369K  Managing Employee Risks and Benefits  3 Hours  

3 Lecture Hours  0 Lab Hours  
Risk management issues involving financial consequences of life and health contingencies, health care finance, company management, pension planning, economics of industry structure, and public policy issues. Three lecture hours a week for one semester.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division  

R M 376  Quantitative Methods in Finance  3 Hours  

3 Lecture Hours  0 Lab Hours  
Explores quantitative methods and techniques in optimization and simulation, and their use in financial decision making. Discusses theory and application in portfolio selection, options and other derivative pricing, index tracking, risk measures, volatility estimating. Specific topics will include linear, quadratic, nonlinear, and integer programming; dynamic programming; robust optimization; Monte Carlo methods and variance reduction techniques. Emphasis will be placed on problem solving with advanced computational programming languages. Three lecture hours a week for one semester.
Pre/Corequisites: Upper-division standing.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division  

R M 377  Property-Liability Risk Management and Planning  3 Hours  

3 Lecture Hours  0 Lab Hours  
Analysis of property-liability risks of businesses, risk management tools, risk financing, and insurance contracts for financial planning purposes; investment and underwriting operations, market structures, and insurance regulation. Three lecture hours a week for one semester.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division  

R M 179, 379  Independent Research in Risk Management  1,3 Hours  

1,3 Lecture Hours  0 Lab Hours  
Only one of the following may be counted: Accounting 379C, Business Administration Honors 379, Business, Government, and Society 379, Finance 379C, International Business 379C, Legal Environment of Business 379, Management 379C, Management Information Systems 379, Marketing 379C, Operations Management 379, Risk Management 379. Conference course.
Pre/Corequisites: Eighteen semester hours of coursework in business and economics; consent of instructor; written approval before the first meeting of the course from the department chair's office, on forms provided for that purpose.  
Restrictions: Restricted to students in a business major.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Upper Division  

R M 391  Topics in Decision Analysis  3 Hours  

3 Lecture Hours  0 Lab Hours  
Three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing; additional prerequisites vary with the topic.  
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Doctoral  
Topic 1: Decision Analysis. Descriptive and normative principles of decision making. Additional prerequisite: Admission to the PPA or MPA program or consent of instructor.

Topic 2: Managing Decisions under Risk. State-of-the-art methods and tools to analyze risky decisions and design optimal strategies. Practical knowledge and practice are emphasized.

Topic 3: Research Issues in Decision Making. Talks by students and faculty members with research interests in decision making, and group discussion of the talks and of students' decision-related research. Additional prerequisite: Admission to the doctoral program in the Department of Information, Risk, and Operations Management.

Topic 4: Behavioral Decision Theory. The psychology of decision making: how and why our judgments are more fallible than we ordinarily suppose, and the extent to which predictive judgment can be improved through use of normative strategies that tell us how we should make judgments and decisions.
  

R M 391.1  Decision Analysis  3 Hours  

3 Lecture Hours  0 Lab Hours  
Descriptive and normative principles of decision making.
Pre/Corequisites: Admission to the PPA or MPA program or consent of instructor.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 391.2  Managing Decisions under Risk  3 Hours  

3 Lecture Hours  0 Lab Hours  
State-of-the-art methods and tools to analyze risky decisions and design optimal strategies. Practical knowledge and practice are emphasized.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 391.3  Research Issues in Decision Making  3 Hours  

3 Lecture Hours  0 Lab Hours  
Talks by students and faculty members with research interests in decision making, and group discussion of the talks and of students' decision-related research.
Pre/Corequisites: Admission to the doctoral program in the Department of Information, Risk, and Operations Management.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 391.4  Behavioral Decision Theory  3 Hours  

3 Lecture Hours  0 Lab Hours  
The psychology of decision making: how and why our judgments are more fallible than we ordinarily suppose, and the extent to which predictive judgment can be improved through use of normative strategies that tell us how we should make judgments and decisions.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 192, 292, 392  Topics in Quantitative Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
For each semester hour of credit earned, one lecture hour a week for one semester.
Pre/Corequisites: Graduate standing.  
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Doctoral  
Topic 1: Modeling and Optimization in Finance.

Topic 2: Statistics for Finance.

Topic 3: Financial Engineering.

Topic 4: Mathematical Finance.

Topic 5: Computational Finance.
  

R M 192.1, 292.1, 392.1  Modeling and Optimization in Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 192.2, 292.2, 392.2  Statistics for Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 192.3, 292.3, 392.3  Financial Engineering  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 192.4, 292.4, 392.4  Mathematical Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 192.5, 292.5, 392.5  Computational Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 194, 294, 394  Topics in Business Analytics  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Selected topics in business analytics.
Pre/Corequisites: Graduate standing.  
Restrictions: Restricted to students admitted to the Master of Science in Information, Risk, and Operations Management program.  
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Master's  
Topic 1: Optimization I. Risk Management 294 (Topic: Optimization I) and 394 (Topic 1) may not both be counted. Restrictions: Restricted to students in the Masters of Science in Business Analytics Program

Topic 2: Optimization II. Risk Management 294 (Topic: Optimization II) and 394 (Topic 2) may not both be counted.
  

R M 194.1, 294.1, 394.1  Optimization I  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Risk Management 294 (Topic: Optimization I) and 394 (Topic 1) may not both be counted.
Restrictions: Restricted to students in the Masters of Science in Business Analytics Program  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's  

R M 194.2, 294.2, 394.2  Optimization II  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Risk Management 294 (Topic: Optimization II) and 394 (Topic 2) may not both be counted.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's  

R M 195, 295, 395  Topics in Seminar: Risk Management  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
For each semester hour of credit earned, one lecture hour a week for one semester.
Pre/Corequisites: Graduate standing.  
Grading: Student Option  
Repeatable for credit: May be repeated for credit when the topics vary.  
Academic Level: Doctoral  
Topic 1: Corporate Risk Management. Analysis of risk management and security needs of businesses and individuals; related insurance coverages and other tools available to deal with risk.

Topic 2: Financial and Economic Aspects of Risk Management. Analysis of risk management techniques and insurance company operations. Similarities between insurance pricing techniques and risk management methodology.

Topic 3: Risk Management and Finance. Examination of theories underlying risk management techniques for business and insurance mechanisms; theoretical analysis of problems and practices in risk management.

Topic 4: Life Insurance and Finance Theory. Economic analysis of the life insurance mechanism and its use in estate planning; economic aspects of pricing under uncertainty.

Topic 5: Managing Environmental Risk.

Topic 6: Risk Analysis and Management.

Topic 7: Managing International Risk. The global aspects of risk management; basic risk and crisis management principles pertinent to multinational firms; financially, legally, and culturally multinational marketplaces such as reinsurance markets, captive offshore insurance.

Topic 8: Managing Employee Risks and Benefits. Corporate planning and public policy issues associated with employee benefits.
  

R M 195.1, 295.1, 395.1  Corporate Risk Management  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Analysis of risk management and security needs of businesses and individuals; related insurance coverages and other tools available to deal with risk.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.2, 295.2, 395.2  Financial and Economic Aspects of Risk Management  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Analysis of risk management techniques and insurance company operations. Similarities between insurance pricing techniques and risk management methodology.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.3, 295.3, 395.3  Risk Management and Finance  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Examination of theories underlying risk management techniques for business and insurance mechanisms; theoretical analysis of problems and practices in risk management.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.5, 295.5, 395.5  Managing Environmental Risk  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.6, 295.6, 395.6  Risk Analysis and Management  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.7, 295.7, 395.7  Managing International Risk  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
The global aspects of risk management; basic risk and crisis management principles pertinent to multinational firms; financially, legally, and culturally multinational marketplaces such as reinsurance markets, captive offshore insurance.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral  

R M 195.8, 295.8, 395.8  Managing Employee Risks and Benefits  1-3 Hours  

1,2,3 Lecture Hours  0 Lab Hours  
Corporate planning and public policy issues associated with employee benefits.
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Doctoral