![]() |
![]() |
![]() |
UB Graduate Academic Schedule: Fall 2022 |
![]() |
![]() |
||||||
|
||||||
![]() |
|
||||
![]() |
MTH 550LEC - Network Theory | |||||||
Lecture | |||||||
![]() |
|||||||
![]() |
|||||||
![]() |
![]() |
![]() |
![]() |
![]() |
|||
Network Theory S | Enrollment Information (not real time - data refreshed nightly) | ||||||
![]() |
![]() |
||||||
![]() |
![]() |
||||||
Class #: | 23357 | Enrollment Capacity: | 11 | ||||
Section: | S | Enrollment Total: | 11 | ||||
Credits: | 3.00 credits | Seats Available: | 0 | ||||
Dates: | 08/29/2022 - 12/09/2022 | Status: | CLOSED | ||||
Days, Time: | T R , 8:00 AM - 9:20 AM | ||||||
Room: | Math 122 | view map | |||||
Location: | North Campus | ||||||
![]() |
|||||||
![]() |
|||||||
Course Description | |||||||
![]() |
|||||||
![]() |
|||||||
Network theory- the science of mapping physical systems to mathematical graphs - provides an attractive methodology to describe and quantify real-world systems. In this course, we will explore the mathematical foundations of network theory and the network statistics used to quantify network structure. The course will especially emphasize connections to real-world data and the importance of interpreting network statistics in the context of the system being studied. Students will identify a physical system of interest and ultimately prepare a research paper that uses tools from network theory to quantify the structure of their system and provide a meaningful interpretation of their findings. | |||||||
![]() |
|||||||
![]() |
|||||||
Instructor(s) | |||||||
![]() |
|||||||
![]() |
|||||||
Masuda | look up | ||||||
![]() |
|||||||
![]() |
|||||||
On-line Resources | |||||||
![]() |
|||||||
![]() |
|||||||
|
|||||||
![]() |
|||||||
![]() |
|||||||
Other Courses Taught By: Masuda | |||||||
![]() |
|||||||
![]() |
|||||||
|
![]() |
Office of the Registrar |
Questions/comments: UBRegistrar@buffalo.edu. |
Accessibility |