Preview Workflow

The CIM Courses system will be down temporarily undergoing routine maintenance.

Viewing: EMSE 3850 : Quantitative Models in Systems Engineering

Last approved: Tue, 07 Mar 2017 09:02:52 GMT

Last edit: Tue, 28 Feb 2017 00:21:01 GMT

Catalog Pages referencing this course
Other Courses referencing this course

In The Catalog Prerequisites:

EMSE 4710 : Applied Optimization Modeling
School of Engineering and Applied Sciences
Engineering Management and Systems Engineering (EMSE)
EMSE
3850
Quantitative Models in Systems Engineering
Quant Models in Systems Eng
Spring 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade
undergraduate students majoring in systems engineering or with the permission of the instructor
No
No
EMSE 2705
Corequisites
APSC 3115 - Engineering Analysis III

25
H. Abeledo
Frequency of Offering
Every Year
Term(s) Offered
Fall
Are there Course Equivalents?
No
 
No
Fee Type


No


Introduction to analytical models used in systems engineering to support decision making in business and government; applications to, for example, production planning, workforce scheduling, and network problems; formulating and solving models using spreadsheets. Corequisite: APSC 3115.
Upon completion of this course, students will be able to • apply practical approaches for formulating and modeling quantitative models in real-world systems engineering problems; • formulate quantitative models of real-world systems engineering problems into spreadsheet models for solution and apply solution techniques to solve these models; • interpret the results of the spreadsheet solution and translate these results into implementable solutions.
Uploaded a Course Syllabus

Course Attribute


riffat (Wed, 15 Feb 2017 16:22:39 GMT): Rollback: Please include Independent Learning statement in syllabus.
Key: 2728