MGMT 4040 - Quantitative Decision Analysis

Institution:

Utah Tech University

Subject:

Management

Description:

Provides real-world decision-making tools commonly used within the finance, operations, marketing, and accounting functions of the modern enterprise with a practical, application-orientation building on the foundation of elementary statistics and decision modeling techniques. Includes financial break-even analysis, portfolio optimization models, correlation analysis, single- and multiple-regression, constrained optimization, and queuing theory. Microsoft Excel is used to create graphical and numerical outputs with emphasis on interpretation of output. Comprehensive case write-up and presentation, integrating the essentials of course tools is prescribed as the end-of-term project. Business cases are used throughout. **COURSE LEARNING OUTCOMES (CLOs) At the successful conclusion of this course, students will be able to: 1. Develop both quantitative and qualitative skills to recognize, formulate and analyze business problems/issues related to finance, operations, marketing and accounting. 2. Utilize a wide range of analytical perspectives to understand the interdependence of key functional areas in business organizations. 3. Provide an enhanced analytical knowledge base for communicating with cross-functional personnel within the enterprise. 4. Apply specific analytical techniques including; financial break-even analysis, portfolio optimization models, correlation analysis, single- and multiple-regression, constrained optimization, and queuing theory to problems and issues facing the modern enterprise. Prerequisites: STAT 2040 (Grade C- or higher). FA, SP

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.