|
|
|
|
|
|
|
|
|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
4.00 Credits
Credits: 4 Synthesize the literature related to the problem. Analyze the environmental factors impacting the problem. Identify the standard of care related to the clinical problem. Assess the quality of evidence that supports the standard of care. Develop a proposal that will impact the delivery of care in the identified area of practice inquiry. Develop the appropriate outcome measures to address the specific practice inquiry area. Prerequisites Completion of DNP core courses. A seminar for doctor of nursing practice (DNP) students to identify an area of practice inquiry. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 1
-
4.00 Credits
Credits: 4 Implement the proposal developed in Practice Inquiry I. Maintain an ongoing process analysis of the project. Collect data. Analyze the findings from the practice inquiry. Disseminate the findings from the practice inquiry in a scholarly manner. Prerequisites NURS 980. Hours of Lecture or Seminar per week 2 Hours of Lab or Studio per week 2
-
3.00 Credits
Credits: 3 A seminar for doctoral students to accompany the development of a doctoral dissertation proposal. Development of the research problem with analysis and critique of methodology discussed. Prerequisites Completion of all other course work except NURS 999; and completion of doctoral comprehensive examination. Notes May be repeated up to 12 credits. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
-
1.00 - 9.00 Credits
Credits: 1-9 Provides continued faculty assistance on an individual basis toward completion of approved dissertation. Prerequisites NURS 998. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
-
4.00 Credits
Credits: 4 Introduces application of statistical methods to support quantitative decision analysis for resolving business problems. Topics include descriptive statistics, probability distributions, statistical inference and regression. May be taught in lecture/recitation format. Prerequisites C or higher in MATH 108 or MATH 113.
-
3.00 Credits
Credits: 3 Examines an organization's operations, including design, management and improvement processes, projects and supply chains, in both product and service environments. Uses analytical models to support key planning and control activities. Prerequisites MIS 102, C or higher in OM 210, sophomore standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered Fall, Spring Summer.
-
3.00 Credits
Credits: 3 Design, development, and management of supply chain systems, including production and inventory management, distribution channels, and information systems that support them. Emphasizes impact of e-business on companies and industries, including Internet's impact on the way goods and services flow through value chain from providers to customers. Prerequisites C or higher in OM 301, degree status. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Introduces operation research and management sciences (OR/MS) techniques for supporting business management decisions. Specific mathematical programming and probabilistic topics include linear programming, interger programming, goal programming, network flow models, decision analysis, game theory, queuing models, and Monte Carlo simulation. Prerequisites C or higher in OM 301, degree status. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Introduces concepts and tools used in designing, modeling, analyzing, and improving business processes. Various business process analysis and simulation methods, such as process mapping/flowcharting, process flow and capacity analysis, service process design, theory of constraints, process modeling and simulation, and business process reengineering are discussed. Introduces methods and analytical tools such as queue theory and computer simulation used to design, model, analyze, and improve business processes. Discusses methods such as process mapping/diagramming, service process design, process modeling, and business process reengineering. Prerequisites C or higher in OM 301, degree status. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Introduces techniques for producing predictions of future business operations as aids to making planning decisions. Specific topics include judgmental forecasting, forecast accuracy, correlation analysis, smoothing methods, regression models, decomposition, and autoregressive and ARIMA models. Methods demonstrated and used through computer software. Prerequisites C or higher in OM 301, degree status. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Privacy Statement
|
Terms of Use
|
Institutional Membership Information
|
About AcademyOne
Copyright 2006 - 2024 AcademyOne, Inc.
|
|
|