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 |
|---|---|---|---|---|---|---|
| 28731 | CIS 7 | 01Y | ··W···· | 11:30 AM-01:20 PM | Jennifer Parrish | AT311 |
| ······· | TBA-TBA | ONLINE | ||||
| ······· | TBA-TBA | ONLINE |
Class Dates: This class runs from 2026-09-21 to 2026-12-11.
Footnote:
CIS -07-01Y: HYBRID, meets on-campus and online. The lecture meets each week as noted in the class listing. The laboratory does not have scheduled meetings and can be completed independently each week on the student's own time. 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.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.