CS112 – Intro to Computer Programming (Fall 2008 – All Sections)

Course Outcomes	- An ability to use procedural programming language concepts including expressions, decision statements, simple data types, boolean logic, input/output, loop constructs, and procedures. - An ability to combine programming techniques to solve problems of varying degrees of difficulty - An ability to refine computer programs through testing and debugging to ensure proper operation. - An ability to find and understand programming language documentation to learn new information needed to solve programming problems.
Prerequisite	Qualification for MATH 113 or MATH 108 on the MATH placement test offered through the Testing Center, or a grade of C or better in MATH 105.
Instructor	Dr. Heishman n Office: ST2 (Rm. 469) n E-Mail: rheishman@cs.gmu.edu n Telephone: 703-993-1543 n Office Hours: M/W (12:15 – 1:15), T/R (3:00 – 4:00) or by appt.
Textbook	Python Programming, for the absolute beginner (2^nd ed.) by Michael Dawson
Websites	CS faculty site: http://cs.gmu.edu/~rheishman/ n Blackboard: TBA
Email / Blackboard	Students must use GMU email system for all correspondence with instructor. Email must use the following subject format: CS112-00x : Student Name (where x is the section number). Failure to adhere to this policy will result in returned emails. All assignments will be submitted via Blackboard.
Grading	500 points total: 10 Labs (18%), 5 Quizzes (8%) Class Participation (9%), 3 Programming projects (30%), Midterm Exam (15%), Final Exam (20%). Final course grades will be calculated as follows: ® A^- (≥ 450 pts.), A (≥ 460 pts.), A^+ (≥ 490 pts.) ® D (≥ 300 pts.) ® B^- (≥ 400 pts.), B (≥ 410 pts.), B^+ (≥ 440 pts.) ® F (< 300 pts.) ® C^- (≥ 350 pts.), C (≥ 360 pts.), C^+ (≥ 390 pts.)
Readings	Lecture attendance is required. Students are responsible for reading and understanding all assigned material (in text, on Internet, etc.), which may or may not be covered explicitly in class. Readings must be completed prior to the assigned lecture. Questions and clarifications regarding material should be presented in class, during instructor/GTA/UTA office hours or via Blackboard discussions.
Labs	Lab attendance is required. Students must attend and participate in the lab for which they are registered unless prior permission is granted by lab GTA. Quizzes (unannounced) will be administered during lab sessions. Missed labs result in zero credit for quizzes administered during that session (no make-ups). The lowest grade of the 5 quiz grades will be dropped. Lab assignments are due one week from the start time of the lab in which they were assigned. The lowest grade of the 10 lab grades will be dropped. Lab assignments may be discussed (e.g., algorithms, development strategies, etc.) with other students, but code may not be shared (labs assignment submissions are strictly independent efforts unless specified otherwise by instructor).
Projects	Programming projects are considered individual efforts, therefore no sharing of code and/or discussion of algorithms or problem solution is allowed with anyone except lab GTA, UTA or instructor.
Late submissions	All assignments must be submitted by the deadline to be considered for full credit. Late lab assignments will not be accepted. Late projects will be tolerated, but are subject to a penalty of 20% per day (measured in 24-hour increments from time due). No assignment will be accepted for credit after last class meeting (final exam).
Contested Grades	Contesting of grades on any/all submissions must be requested within one week of the item’s return. No changes will be considered subsequent to that deadline.
Exams	Exams are closed book/notes unless specified otherwise by instructor. Appropriate documentation (as determined by instructor) and requisite permissions are required for make-up exam requests. Picture IDs are required to take all exams. Note: A failing grade on the final exam (<60%) will result in a failing grade (F) for the entire course, regardless of performance on other assignments.
Honor Code	All students are expected to abide by the GMU Honor Code. This policy is rigorously enforced. All class-related assignments are considered individual efforts unless explicitly expressed otherwise (in writing). Review the university honor code and present any questions regarding the policies to instructor.
Learning Disabilities	If you have a learning disability or other condition that may affect academic performance (and that is documented with the GMU Office of Disability Services), talk with me ASAP to discuss accommodations.