Large-Scale Social and Complex Networks: Design and Algorithms


This course is part of the UCLA Henry Samueli School of Engineering and Applied Science (HSSEAS) Master of Science in Engineering Online (MSOL) program.  It is available only to students pre-approved by HSSEAS.  See below for more information.

Starting at $4,300.00
As few as 10 weeks

About this course:

EC ENGR 232E “Large-Scale Social and Complex Networks: Design and Algorithms” Prof. Roychowdhury Lecture, four hours; discussion, one hour; outside study, seven hours. Introduction of variety of scalable data modeling tools, both predictive and causal, from different disciplines. Topics include supervised and unsupervised data modeling tools from machine learning, such as support vector machines, different regression engines, different types of regularization and kernel techniques, deep learning, and Bayesian graphical models. Emphasis on techniques to evaluate relative performance of different methods and their applicability. Includes computer projects that explore entire data analysis and modeling cycle: collecting and cleaning large-scale data, deriving predictive and causal models, and evaluating performance of different models.

Summer 2020 Schedule

Available Format(s):

These courses meet in person and make use of an online presence to varying degrees.

Enrollment Closed
This section has no set meeting times.
See Details
Restricted course. For permission to enroll contact UCLA's MSOL Program: (310) 825-6542 or at least 2 weeks before course starts. Visitors not permitted. Restricted course; call (310) 206-6794 for permission to enroll. Web enrollments automatically generate a "Permission to Enroll" request.
Refund Deadline
No refunds after June 15, 2020

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