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Graph Mining And Management A |
Enrollment Information (not real time - data refreshed nightly)
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Class #:
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23884 | |
Enrollment Capacity:
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30 |
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Section:
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A |
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Enrollment Total:
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8 |
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Credits:
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3.00 credits
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Seats Available:
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22 |
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Dates:
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08/31/2020 - 12/11/2020 |
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Status:
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OPEN WITH RESERVES |
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Days, Time:
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M W , 3:00 PM - 4:20 PM |
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Remote |
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Remote |
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| Reserve Capacities |
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| Description |
Enrollment Capacity |
Enrollment Total |
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| CSE: Seats Reserved |
30 |
7 |
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| Enrollment Requirements |
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Prerequisites: Pre-Requisite: CSE 531. |
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| Course Description |
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| This course introduces several important problems and algorithms being used in many applications where the input data is a graph. Students will learn the challenges and problems in large scale algorithmic graph mining, work on managing the graph data by handling the irregular computations that do not fit to traditional CPU architectures, be familiar with the recent advances in the area, and get hands-on experience with the graph mining and management research via semester-long project. |
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| Instructor(s) |
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Sariyuce, A |
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| On-line Resources |
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| Other Courses Taught By: Sariyuce, A |
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