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Fall 2023

 

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Computer Science (CS)
120 Deschutes, 541-346-4408
College of Arts & Sciences
8 - No cost for class textbook materials.
Course Data
  CS 212   + Lab >4 0.00 cr.
Basic concepts and practices of computer science. Topics include algorithmic problem solving, levels of abstraction, object-oriented design and programming, software organization, analysis of algorithm and data structures. Sequence with CS 210, CS 211.
Grading Options: Optional; see degree guide or catalog for degree requirements
Instructor: Mathai ME-mail Office:   237 Deschutes Hall
Course Materials
 
  CRN Avail Max Time Day Location Instructor Notes

+ Lab

11435 0 30 1000-1050 w See DuckWeb Mathai M !
 
Associated Sections

Lecture

11431 1 150 1000-1120 tr See DuckWeb Childs H Approval Required!A8
Academic Deadlines
Deadline     Last day to:
September 24:   Process a complete drop (100% refund, no W recorded)
September 30:   Drop this course (100% refund, no W recorded; after this date, W's are recorded)
September 30:   Process a complete drop (90% refund, no W recorded; after this date, W's are recorded)
October 1:   Process a complete withdrawal (90% refund, W recorded)
October 1:   Withdraw from this course (100% refund, W recorded)
October 2:   Add this course
October 2:   Last day to change to or from audit
October 8:   Process a complete withdrawal (75% refund, W recorded)
October 8:   Withdraw from this course (75% refund, W recorded)
October 15:   Process a complete withdrawal (50% refund, W recorded)
October 15:   Withdraw from this course (50% refund, W recorded)
October 22:   Process a complete withdrawal (25% refund, W recorded)
October 22:   Withdraw from this course (25% refund, W recorded)
November 12:   Withdraw from this course (0% refund, W recorded)
Caution For information on last day to Change Grade Option or Change Variable credit: Dates & Deadlines calendar

You can't drop your last class using the "Add/Drop" menu in DuckWeb. Go to the “Completely Withdraw from Term/University” link to begin the complete withdrawal process. If you need assistance with a complete drop or a complete withdrawal, connect with an Academic Advisor. If you are attempting to completely withdraw after business hours, and have difficulty, please contact the an Academic Advisor the next business day.

Expanded Course Description
The course introduces the concept of abstract data type, and several abstract data types, e.g., lists, stacks, queues, binary trees, are defined and implemented. The course also covers basics of algorithm design and analysis. Recursive and iterative approaches to problem solving are covered, with means for developing and analyzing the resultant algorithms. Notions of correctness proof and Big-O time complexity are explored.
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Release: 8.11