CIS 22C
Data Abstraction and Structures

Course Description

Application of software engineering techniques to the design and development of large programs, including a team project, with an emphasis on data abstraction and structures and associated algorithms: stacks, queues, linked lists, trees, graphs, and hash tables. This course also covers recursion and advanced sorting algorithms.

Class Details

CRN Course Section Days Times Instructor Loc
40258 CIS 22C 05Y Seats open Tuesday, Thursday 03:30 PM-05:20 PM Ronald Kleinman AT311
No set days TBA-TBA ONLINE

Class Dates: This class runs from 2027-01-04 to 2027-03-26.
Footnote:
CIS-022C-05Y: CIS-022C-04Y: : HYBRID, meets on-campus and online. Students should be able to read and understand C++ code, BUT IT WILL NOT BE REQUIRED FOR THEM TO PROGRAM USING IT. Homework assignments may be Vibe Coded (i.e. completed using AI to generate the actual C++ code). Exams will focus on testing concept understanding and also not require writing C++ code. 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. ***Please complete the form found at http://www.deanza.edu/cis/prereqclear.html if you feel that you can evidence equivalent coursework and/or job experience that meet the prerequisites for this course.****

Class Materials

View textbook and/or other materials 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
  • Letter Grade
  • Pass/No Pass

Requisite and Advisory

Prerequisite
CIS 22B, CIS 22BH, CIS 35A or CIS 36B
Advisory
  • Elementary algebra or equivalent (or higher), or appropriate placement beyond elementary algebra
Limitation on Enrollment
(Not open to students with credit in the Honors Program related course.)
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