Large Data Sets: Theory and Practice

COM S 535 XW


Course Description

Challenges involved in solving computational problems on massive data sets. Discussion of computational problems that arise in the context of web search, social network analysis, recommendation systems, and online advertising etc. Theoretical aspects include modeling the computational problems using graphs, study of similarity measures and hash functions, and design of efficient algorithms for graphs. Practical aspects include implementation and performance evaluation of the algorithms on real world data sets. Graduate credit requires a written report on current research.

3 credits

Questions

Instructor Contact

Pavankumar Aduri

Registration Information

Course Dept
COM S
Course Number
535
Section
XW
Credit Hours
3
Semester
Spring 2018
Dates
Jan 8 - May 4
Prerequisites
COM S 228, COM S 230 or CPR E 310, COM S 311 or equivalent
Max Enrollment
50
Delivery Fee
$150.00 *
Delivery Type
www
* Delivery Fee is additional to Tuition & Fees.

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