CSCI 220L Syllabus – Spring 2013

Computer Science 220L

Computer Programming I Laboratory

Spring 2013


 Instructor: Aspen Olmsted   E-mail: Class Webpage:

Required Text:  Zelle – Python Programming (Franklin, Beedle – ISBN 1-887903-99-6)

Required Software:  Python

Office:   JC Long 226

Office Hours: MWF 10:00am – 11:00am

Course Description – Prerequisite and Corequisite:


This course is designed to apply the concepts being covered in CSCI 220. Exercises will be assigned each week within a structured setting.

Each student must have completed MATH 111 or an equivalent or higher course, and be enrolled in or have completed CSCI 220 (Computer Programming I).


Several exercises (on the computer or occasionally pencil-and-paper) will be assigned in each lab. No work may be continued after the lab has ended. If you have not finished by the end of the lab time, you will be given partial credit for the work that you have completed. All computer exercises must be submitted via Oaks.

Pair Programming 

You will do some labs alone. In others you will be paired with another student and will work together to solve the exercises. This technique will be explained further during a lab early in the semester.

Missed labs 

If you must miss a lab, give me a written explanation why you had to miss, including documentation. If you have a valid excuse you will be allowed to make up the lab, and I will reset Oaks to allow the late work to be submitted. If the reason for your missing lab is unacceptable, the grade will be zero.

Final Grade Computation 

Attendance/participation counts 50%, but remember that if you miss three or more labs you will receive an F regardless of your numerical average. The lab work counts 50%.

 Grading scale

100-90 (A); 87-89 (A-); 86-84 (B+); 83-80 (B); 79-77 (C-); 76-74 (C+); 73-70 (C); 69-67 (C-); 66-60 (D); else (F)


Any student who feels he or she may need an accommodation based on the impact of
a disability should contact me individually to discuss your specific needs. Also, please
contact the College of Charleston, Center for Disability Services
for additional help.

Student Honor Code

I expect you to abide by the Honor Code and the Student Handbook: A Guide to Civil and
Honorable Conduct. If you have a question about how to interpret the Honor Code, ask before
acting! I encourage collaboration, but you must document it. Thus, each student will submit
their own homework and, when collaborating, provide a reference to those people and
documents consulted.


Attendance at regular classes is not mandatory, but is a great way to engage the
course material and to ask questions. Attendance for tests and the exam is expected
(rescheduling for sickness is accommodated). Please do not attend class if you are sick
or believe you are becoming ill. It is best to document your absence through an absence
report in Undergraduate Academic Services. ATTENDANCE WILL BE TAKEN AT ALL

Electronic Devices

The use of electronic devices, both stand-alone and network capable, will play an
increasingly important roll in teaching and learning at the College of Charleston, including
their use in our classrooms. Just be respectful about unnecessary distractions to you and
to others seated around you.

How to report an absence

Students should…
Come to 67 George Street (white house next to Stern Center) to discuss absences and
fill out the appropriate forms. Or get forms online at:
Forms can be faxed to the College at 953-2290.
Students will need documentation for health, personal or emergency situations.
Athletic Teams and school-sponsored trips will have documented lists of students
participating on our letterhead as early in the semester as we get the information from the
organization. We would like all information on scheduled outings to reach us at least two
full weeks in advance. We will then turn the information back to the coach or advisor.

Academic Integrity
Lying, cheating, attempted cheating, and plagiarism are violations of our Honor Code
that, when identified, are investigated. Each incident will be examined to determine the
degree of deception involved.

Incidents where the instructor determines the student’s actions are related more to a
misunderstanding will be handled by the instructor. A written intervention designed
to help prevent the student from repeating the error will be given to the student. The
intervention, submitted by form and signed both by the instructor and the student, will be

forwarded to the Dean of Students and placed in the student’s file.

Cases of suspected academic dishonesty will be reported directly by the instructor and/
or others having knowledge of the incident to the Dean of Students. A student found
responsible by the Honor Board for academic dishonesty will receive a XF in the course,
indicating failure of the course due to academic dishonesty. This grade will appear on
the student’s transcript for two years after which the student may petition for the X to
be expunged. The student may also be placed on disciplinary probation, suspended
(temporary removal) or expelled (permanent removal) from the College by the Honor

Students should be aware that unauthorized collaboration–working together without
permission– is a form of cheating. Unless the instructor specifies that students can
work together on an assignment, quiz and/or test, no collaboration during the completion
of the assignment is permitted. Other forms of cheating include possessing or using
an unauthorized study aid (which could include accessing information via a cell phone
or computer), copying from others’ exams, fabricating data, and giving unauthorized

Research conducted and/or papers written for other classes cannot be used in whole
or in part for any assignment in this class without obtaining prior permission from
the instructor.

Students can find the complete Honor Code and all related processes in the Student
Handbook at


Course Goals:

1. To learn the fundamentals of procedural analysis and design.

2. To learn the features of procedural programming.

3. To learn the implementation of these features in the Python language.

4. To reinforce and practice the concepts encountered in the lecture course.



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