CIS 44F
Introduction to Big Data and Analytics
Course Description
This course is an introduction to Big-Data deluge, management of unstructured and structured data and design of large scale database systems. Concepts covered include map-reduce parallel processing algorithms, real-time analytics, classification, and predictive analytics, attributes of Big-Data and related issues. The course also introduces large-scale file systems and operations and parallel processing algorithms.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 13557 | CIS 44F | 01Z | M·W···· | 06:00 PM-07:50 PM | Felix Amoruwa | ONLINE |
| ······· | TBA-TBA |
Class Dates: This class runs from 2025-06-30 to 2025-08-08.
Footnote:
CIS-44F-01Z: Fully ONLINE. The lecture meets each week as noted in the class listing. Students must have access to a computer, the internet and an individual email address. Most °®¶¹´«Ã½ classes will use the Canvas course management system. We recommend a laptop or desktop computer to successfully complete the course; a tablet or phone may not be adequate for all assignments and tests. Information about Canvas and Online Education Orientation can be found in Canvas on the Student Resources page: . The Student Online Resources hub with extensive information and tips can be found at .
Class Materials
This course either has not submitted any materials to the bookstore for use or is using Open Education Resources. Please check with the instructor.
View available at the Bookstore.
Course Details
- Units
- 4 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 0
- Formerly
- (Formerly CIS 064F.)
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Grading Method
- Letter Grading
Requisite and Advisory
- Advisory
- ESL 272. and ESL 273., or ESL 472. and ESL 473., or eligibility for EWRT 1A or EWRT 1AH or ESL 5.