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 | |||||
| ······· | TBA-TBA |
Class Dates: This class runs from 2023-07-03 to 2023-08-11.
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 De Anza 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: https://deanza.instructure.com/courses/3382. The Student Online Resources hub with extensive information and tips can be found at deanza.edu/online-ed/students/remotelearning.
Class Materials
View textbook and/or other materials 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
- EWRT D211. and READ D211., or ESL D272. and D273.