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

Catalog Pages referencing this course

Programs referencing this course

Other Courses 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

Key: 2722