Data-driven Decision-making: From Policy to Practice

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Overview

Subject area

ENGL

Catalog Number

C3177

Course Title

Data-driven Decision-making: From Policy to Practice

Department(s)

Description

This course focuses on the use of quantitative methods to inform the policy-making process, help managers plan how organize the delivery of services in a cost efficient and effective manner, and assist decision-making under conditions of uncertainty. Specific cases will be used to provide the context of the analysis and familiarize students with real-world operational problems managers confront. The case material is structured to simulate real-world conditions such as working under conditions of uncertainty, having access to partial information about the problem being investigated, the need to collect data and make “plausible” assumptions about what has happened and why. Numbers and their analysis will be the primary tool used to understand the problem and explore solutions. Students will use Microsoft Excel throughout the course.

Academic Career

Graduate

Liberal Arts

Yes

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Course Schedule