CIS 311X
Support for Foundations of Data Science for All
Course Description
This course is a review of core prerequisite skills, competencies, and concepts needed when studying data science and is intended for students who are concurrently enrolled in Data Science for All.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 40251 | CIS 311X | 63Z Seats open | No set days | TBA-TBA | Mary Pape | ONLINE |
| No set days | TBA-TBA | |||||
| No set days | TBA-TBA | TBA | TBA |
Class Dates: This class runs from 2027-01-04 to 2027-03-26.
Footnote:
CIS-311X.-63Z: Fully ONLINE. This noncredit class mirrors the credit class of the same number (CIS 311X mirrors CIS 111X), therefore the course descriptions are the same. Noncredit courses cannot be used to earn an associate degrees nor any college transcripable certificates and are not transferable. They may, however, be used to obtain a non-credit certificate when offered. For information about noncredit classes access https://www.deanza.edu/noncredit. This class does not have scheduled meetings. Students can log in anytime to do the required weekly course work. Students must have access to a computer, the internet and an individual email address. 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. Most De Anza classes will use the Canvas course management system. 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
Course Details
- Units
- 0 Units
- Hours
- Weekly Lecture Hours: 2
- Weekly Lab Hours: 0
- Program Status
- Program Applicable
- Credit
- Non-credit Class
- Grading Method
- Pass/No Pass
Requisite and Advisory
- Corequisite
- CIS 311