| source Georgetown (X) |
level |
department Decision Sciences (X) |
We assume that students are already familiar with data analysis, probability and uncertainty, and basic statistical inference. We examine statistical model building for business processes for the purposes of understanding variability and making forecasts. A detailed development of multiple regression analysis is complemented by some study of time series analysis. The objective is to demonstrate the effectiveness of statistical modeling in guiding managerial decision-making. The statistical analysis of large data sets is an integral part of modern business practice. Accordingly, both spreadsheets and statistical software will be used throughout the course. Note: This course is designed for students who already have taken a first course in statistics. Students will be admitted to the course only with the approval of the MSB Office of Undergraduate Student Services. Students may not take both DSCI-172 and DSCI-174 for credit. Fall and Spring.
Score: 13.6415825 Details | Listing | Web page
This course introduces the basic concepts of Statistics and their application in managerial decision-making. In the first part of the course, we consider the steps of data collection, preliminary data analysis (numerical and graphical), probability and uncertainty, statistical inference. In the second part of the course, we examine statistical model building for the purposes of understanding variability and making forecasts. A detailed development of multiple regression analysis is complemented by some study of time series analysis. The objective is to demonstrate the effectiveness of statistical modeling in guiding managerial decision-making. The statistical analysis of large data sets is an integral part of modern business practice. Accordingly, both spreadsheets and statistical software will be used throughout the course. [Students may not take both DSCI-172 and DSCI-174 for credit]
Score: 13.6415825 Details | Listing | Web page
Management Science is the application of quantitative modeling techniques to the managerial decision making process. The course will be taught by example and adopts a practical spreadsheet-based approach to the modeling of a wide variety of business problems from finance, marketing, and operations. The ability to think through complex problems and develop spreadsheet models is valuable for all business students. This skill provides real competitive advantages in finance, operations, and marketing. The approach taken in this course concentrates on problem solving in an interdisciplinary context that also develops spreadsheet skills.
Score: 13.6415825 Details | Listing | Web page