L - Course day/time/location changed; check course detail for more info
Course Data
CIS 210 Computer Science I >4
4.00 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.
Grading Options:
Optional; see degree guide or catalog for degree requirements
Instructor:
Atkins D
Office:
334 Deschutes Hall Phone:
(541) 346-4413
Course Fees:
$45.00
Prereqs/Comments:
MATH higher than 112 subs for 112.
Prereq: programming course and MATH 112; coreq for CIS majors: MATH 231.
Process a complete drop (100% refund, no W recorded)
October 1:
Drop this course (100% refund, no W recorded)
October 1:
Process a complete drop (90% refund, no W recorded)
October 2:
Drop this course (75% refund, no W recorded; after this date, W's are recorded)
October 2:
Process a complete drop (75% refund, no W recorded; after this date, W's are recorded)
October 4:
Add this course
October 4:
Last day to change to or from audit
October 8:
Withdraw from this course (75% refund, W recorded)
October 15:
Withdraw from this course (50% refund, W recorded)
October 22:
Withdraw from this course (25% refund, W recorded)
November 12:
Withdraw from this course (0% refund, W recorded)
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
This course provides a basic introduction to programming and problem solving with the Java programming language. Classes, objects, control structures, and primitive data types are covered, as are arrays. Students learn to represent elements of problem statements in terms of variables of the appropriate type and then write algorithms in Java to compute desired results. Some prior programming experience is expected, not necessarily in Java.