COM SCI 145
Introduction to Data Mining
Computer Science · 4 units · Undergraduate upper division (100-199)
Introduction of basic concepts, algorithms, and techniques of data mining on different types of datasets including vector data, set data, sequence data, text data, and graph data. Hands-on project involving practice of mining useful knowledge from large data sets.
Letter grading.
When it runs
Checking the Schedule of Classes…
Requisites
Official UCLA wording
Enforced requisite: course 32.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
COM SCI 145
- COM SCI 32Introduction to Computer Science II
- COM SCI 31Introduction to Computer Science I
1 direct requisite. The whole upstream is here — 2 courses over 2 levels. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
COM SCI 145
- COM SCI 162Natural Language Processing
- COM SCI 163Deep Learning for Computer Vision
- COM SCI 247Advanced Data Mining
3 courses list this as a requisite. The whole downstream is here — 4 courses over 2 levels. Every course here opens its own tree.