Basic Information
Advanced Course Dealing With Current Research Topics in Machine Learning For Computer Networks. The Course Will Cover Recent Papers In Networking and Machine-learning Conferences. The Topics Include Machine Learning and Optimization For a Wide Range Of Networking Applications, Such As Routing, Congestion Control, Packet Scheduling, Hashing, and Bloom Filters. Learning Ouctomes# At The End of The Course The Student Will Be# A. Familiarity With The Research Approach in Machine Learning And Optimization For Computer Networks. B. Familiarity With The Current Literature. C. Acquisition of Scientific Presentation Skills.
Faculty: Electrical and Computer Engineering
|Graduate Studies
Pre-required courses
(44334 - Computer Networks and Internet 1 and 46195 - Machine Learning)
Semestrial Information
Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Isaac Keslassy
Registration Groups
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Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Isaac Keslassy
Registration Groups
|
|
Weekly Hours
2 Academic Credit • 2 Lecture Hours
Responsible(s)
Isaac Keslassy
Notes
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הקורס יתקיים במאייר 1061.
Registration Groups
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