MATH 274
Spring 2018
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01
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Course Cluster: Data Analysis Minor |
A graph is a set V of elements called vertices and a set E of pairs of elements of V called edges. From this simple definition, many elegant models have been developed. Indeed, graph theory is essential to applications of computer science to network analysis and planar mapping. This course will be an introduction to graph theory with an emphasis on the connections between graph theory and linear algebra. |
Credit: 1 |
Gen Ed Area Dept:
NSM MATH |
Course Format: Lecture / Discussion | Grading Mode: Graded |
Level: UGRD |
Prerequisites: MATH221 OR MATH223 |
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Fulfills a Requirement for: (CADS)(COMP)(DATA-MN)(MATH) |
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Past Enrollment Probability: 90% or above |
SECTION 01 |
Instructor(s): Collins,Karen L. Times: .M.W.F. 10:50AM-11:40AM; Location: SCIE201; |
Total Enrollment Limit: 25 | | SR major: 5 | JR major: 5 |   |   |
Seats Available: 7 | GRAD: X | SR non-major: 5 | JR non-major: 5 | SO: 5 | FR: 0 |
Drop/Add Enrollment Requests | | | | | |
Total Submitted Requests: 0 | 1st Ranked: 0 | 2nd Ranked: 0 | 3rd Ranked: 0 | 4th Ranked: 0 | Unranked: 0 |
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