CS 235: Data Mining Techniques

← 2019-20 2020-21 2021-22 →
← 2018-19 ← 2018-19 changes (lax) changes (strict) ▾ 2021-22 → 2021-22 →

Units: 4

Hours: Lecture, 3 hours; term paper, 1.5 hours; project, 1.5 hours

Catalog page 256

Prerequisites: CS 141, CS 166; CS 170 is recommended

Description: CS 235 online section; enrollment in the online Master of Science in Engineering program. Provides students with a broad background in the design and use of data mining algorithms and tools. Includes clustering, classification, association rules mining, time series clustering, and Web mining.

Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2025-26  65/145  40/140 105/285
2024-25  85/145  99/140 184/285
2023-24  61/120 127/136 188/256
2022-23 112/120 98/100 210/220
2021-22  63/ 65 112/121 175/186
2020-21  43/125  37/120  80/245
2019-20 115/115  68/120 183/235
2018-19  65/ 72  40/ 70 105/142
2017-18  62/ 73  58/ 70 120/143
2016-17  44/ 60 61/ 86 105/146