COM SCI 246 · CS 246Web Information Management
Computer Science · 4 units · Graduate courses (200-299)
Designed for graduate students. Scale of Web data requires novel algorithms and principles for their management and retrieval. Study of Web characteristics and new management techniques needed to build computer systems suitable for Web environment. Topics include Web measuring techniques, large-scale data mining algorithms, efficient page refresh techniques, Web-search ranking algorithms, and query processing techniques on independent data sources.
Letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Requisites: courses 112, 143, 180, 181.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI 246
- COM SCI 112Modeling Uncertainty in Information Systems
- COM SCI 111Operating Systems Principles
- COM SCI 33Introduction to Computer Organization
- COM SCI 35LSoftware Construction
- C&EE 110Introduction to Probability and Statistics for Engineers
- MATH 32ACalculus of Several Variables
- EC ENGR 131AProbability and Statistics
- MATH 170AProbability Theory I
- MATH 131AAnalysis
- STATS 100AIntroduction to Probability
- COM SCI 143Data Management Systems
- COM SCI 32Introduction to Computer Science II
- COM SCI 31Introduction to Computer Science I
- COMPTNG 10CAdvanced Programming
- COM SCI 180Introduction to Algorithms and Complexity
- COM SCI 181Theory of Computing
4 direct requisites. Showing 30 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.