CIS 307
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
50071 CIS 307 01Y Seats open Wednesday 11:30 AM-01:20 PM Jennifer Parrish AT311
No set days TBA-TBA ONLINE
No set days TBA-TBA ONLINE
No set days TBA-TBA TBA TBA
No set days TBA-TBA TBA ONLINE

Class Dates: This class runs from 2027-04-05 to 2027-06-25.
Footnote:
CIS -307-01Y: HYBRID, meets on-campus and online. This class mirrors the for-credit class of the same number (CIS 340 mirrors CIS 40), so the course description is the same. Non-credit courses are intended for students who want to gain general knowledge, learn a new skill, upgrade existing skills, or enrich their understanding of a wide range of topics. Non-credit courses cannot be used to earn an associate degree nor any college transcriptable certificates. They can, however, be used to earn non-transcriptable certificates of completion. 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 at the Bookstore

Course Details

Units
0 Units
Hours
  • Weekly Lecture Hours: 4
  • Weekly Lab Hours: 1.5
Program Status
Program Applicable
Credit
Non-credit Class
Grading Method
  • Letter Grade
  • Pass/No Pass

Requisite and Advisory

Advisory
  • CIS 4

Limitations on Enrollment and Entrance Skills

(No limit on student re-enrollment for 0 unit courses.)
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