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Viewing: EMSE 2705 : Mathematics in Operations Research

Last approved: Tue, 07 Mar 2017 09:02:44 GMT

Last edit: Mon, 27 Feb 2017 22:55:01 GMT

Catalog Pages referencing this course
School of Engineering and Applied Sciences
Engineering Management and Systems Engineering (EMSE)
EMSE
2705
Mathematics in Operations Research
Mathematics in OR
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
Yes
MATH 2184 - Linear Algebra I
MATH 2233
Corequisites

25
H. Abeledo
Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
Yes
 
MATH 2184 - Linear Algebra I
No
Fee Type


No


Linear algebra topics relevant for optimization methods and models; systems of linear equations, Gaussian elimination, matrix algebra, vector spaces, determinants, linear programming, orthogonality and least squares; mathematical foundations of optimization theory; linear algebra, advanced calculus, convexity theory; geometrical interpretations and use of software.
On completion of the course, the students will be able to: • Solve systems of linear equations by Gaussian elimination. • Use systems of linear equations to model real-world problems. • Perform matrix operations. • Acquire understanding of mathematical concepts such as vector spaces, linear independence, bases, coordinate systems. • Understand and apply concepts that underlie mathematical optimization, such as calculus based optimality conditions and convexity. • Solve linear optimization problems using the Simplex method.
Uploaded a Course Syllabus

Course Attribute


riffat (Wed, 15 Feb 2017 15:56:11 GMT): Rollback: Need independent learning statement in syllabus. Example: In a 15-week semester, including exam week, students are expected to spend a minimum of 100 minutes of out-of-class work for every 50 minutes of direct instruction, for a minimum total of 2.5 hours a week. A 3-credit course should include 2.5 hours of direct instruction and a minimum of 5 hours of independent learning or 7.5 hours per week. More information about GW's credit hour policy can be found at: provost.gwu.edu/policies- forms (webpage); or provost.gwu.edu/les/downloads/Resources/Assignment-Credit-Hours-7-2016.pdf
Key: 2722