|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Introduction to the epidemiological model and the principals of epidemiological investigation as tools for analyzing health needs. Prevention, environmental health, and the needs of special risk groups are addressed within the context of health policy. Corequisite: NUR 421. 3 credits. Spring semester; evening
-
3.00 Credits
The difference between leadership and management is explored within the context of the changing health care environment. Emphasis is placed on leadership and management theory within the managed care environment. Prerequisite: Department approval. Open to non-majors. 3 credits. Fall semester; evening.
-
1.00 Credits
An examination of what it is like to be a nurse in the 21st century with special emphasis on those nurses who have become leaders. The course discusses the roles that nurses might assume in the new millennium. 1 credit. Fall semester; evening.
-
3.00 Credits
This course assists the nurse in preparing for professional nursing practice by integrating the practice, education, research, and health policy interests of the nurse. Students are encouraged to explore a specific topic or clinical area of interest in the preparation of an oral/written report. Prerequisite: department approval. 1 credit. Spring semester; evening.
-
3.00 Credits
An introductory course to the research process. The course focuses on the professional nurse as research consumer. Critical appraisal skills are developed as a basis for evaluating research studies and their application to clinical practice. Learning activities are designed to facilitate students' understanding of nursing research, the research utilization process and professional role development. Prerequisites: WRI 1500 and MAT 301. 3 credits. Spring semester; evening.
-
3.00 Credits
This course will develop the student's ability to organize, analyze, and interpret quantitative business and economic data. Ti introduces practical methods of gathering and using business data to solve business problems, such as exploratory data analysis, probability, concepts, and empirical probability distributions. It includes topics as graphical data presentation, applications of the binomial and normal distributions, confidence intervals, and basic forecasting using regression techniques. In order to foster the technological competence necessary in today's competitive business environment, analysis of data sets and problem solution using PC based spreadsheets, statistical analysis, and graphing software will be emphasized. Prerequisite: MAT 105. 3 credits. Offered every semester.
-
3.00 Credits
This course will cover the theory and practice of applying advanced quantitative techniques to solve business problems. Topics will include the application of the methodology of decision science in a business setting, business applications of probability and statistics, forecasting techniques, and project management. In order to foster the technological competence necessary in today's competitive business environment, analysis of data sets and problem solution using PC based spreadsheets, decision analysis, forecasting, and graphing software will be emphasized. Prerequisite: MAT 301 or ORM 301. 3 credits. Offered every semester.
-
3.00 Credits
Students will become familiar with the business application of quantitative techniques. Topics such as time series analysis and decomposition, regression analysis, moving averages and exponential smoothing will be discussed. Advanced forecasting methods such as multiple and non-linear regression, and econometric analysis will be covered. Qualitative techniques are also addressed, including top down and bottom-up forecasting, Delphi Method, and panel of experts approach. Students are expected to solve problems using software packages such as SPSS and Excel's data analysis tools. Prerequisites: MAT 109 and ORM 301. 3 credits. Offered as needed.
-
3.00 Credits
Operations Management plays an essential role in the day to day functioning of most large corporations, and is a modern success story. This course will focus critical thinking and analysis around the key areas of operating strategy - the design of the operations system, the management of a corporation's operations over time, and operations improvement. Specific topics covered will include operations and company competitiveness in a diverse global environment, operations strategy, the management of product quality, and practical methods of statistical quality control. The course will also examine techniques and tools of project management, the importance of operational support systems, resource forecasting, and demand management. Current business topics such as value chain analysis, supply chain management, and evolution of e-commerce will be discussed. Prerequisite: ORM 301. 3 credits. Offered as needed.
-
3.00 Credits
Students will become familiar with a variety of speed operations research techniques not discussed in other Operations Research courses. Contents include: Markov chains, dynamic programming, goal programming, utility theory, game theory, marginal analysis, and queuing theory. Prerequisites: MAT 109 and ORM 301. 3 credits. Offered as needed.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|