CIS 7
Introduction to Artificial Intelligence
Course Description
This course provides a foundational overview of artificial intelligence (AI) by exploring core concepts such as search algorithms and knowledge representation that are used by modern intelligent systems. Through hands-on projects such as fraud detection and machine translation, students gain experience in predictive analytics, uncertainty management, optimization, and other AI practices.
Class Details
| CRN | Course | Section | Days | Times | Instructor | Loc |
|---|---|---|---|---|---|---|
| 28881 | CIS 7 | 02Y | ··W···· | 06:00 PM-06:50 PM | Justin Read | AT311 |
| ······· | TBA-TBA | ONLINE | ||||
| ······· | TBA-TBA | ONLINE | ||||
| ······· | TBA-TBA | TBA | TBA | |||
| ······· | TBA-TBA | TBA | ONLINE |
Class Dates: This class runs from 2026-09-21 to 2026-12-11.
Footnote:
CIS -007-02Y: : HYBRID, meets on-campus and online. This class meets each week on campus and online 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
- 4.5 Units
- Hours
- Weekly Lecture Hours: 4
- Weekly Lab Hours: 1.5
- Program Status
- Program Applicable
- Credit
- Credit - Degree Applicable
- Grading Method
- Pass/Fail Grading
Requisite and Advisory
- Advisory
- CIS D004.
