The class project requires fingers-on follow of mining useful expertise from a significant details set. Prerequisite(s): CS 5800 with a minimum grade of C- or CS 7800 with a minimal quality of C-

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Gives picked do the job With all the agreement of the thesis supervisor. Prerequisite(s): CS 9000 using a least quality of S

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Made to prepare graduate pupils for co-op/internship using a vocation planning product. Topics involve purpose setting, resumé crafting, interviewing, position research technique, and professionalism from the office. Provides students a possibility to build vocation targets, to find out to discover and get the equipment and ability to evaluate what they know and wish to click this site be aware of in relation to obtaining their vocation objectives, and also to justify what they should master by their co-op/internship encounter to transfer to/from their educational software to foreseeable future vocation.

Covers approaches for controlling and analyzing incredibly massive data sets, with an emphasis on strategies that scale out effectively as a lot more compute nodes are additional. Introduces ideas of dispersed information management and tactics for challenge-pushed information partitioning through a array of design designs from different application domains, together with graph Assessment, databases, text processing, and details mining. Provides students a chance to obtain palms-on programming practical experience with modern day massive-knowledge processing technologies for instance MapReduce, Spark, HBase, and cloud computing (this collection is topic to change as know-how evolves).

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Gives an summary on the wide selection of AI procedures that exploit expertise in the area and individuals to facilitate conversation concerning human beings and units, mediate human-human interaction, leverage individuals to enhance system effectiveness, and go to these guys advertise beneficial outcomes for the social and person stage. Subjects can incorporate AI/human computation, strategy and activity recognition, smart sensing/properties, active Finding out, choice elicitation, smart/adaptive user interfaces, and mixed human-agent simulations.

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