Bryn Mawr College
CS 110: Introduction to Computing
Fall 2006
Course Materials
Prof. Deepak Kumar

For Prof. Dianna Xu's Section ->Click here

Information
Texts  Important Dates  Assignments  Lectures  Grading Links

General Information

Instructor: Deepak Kumar, 248 Park Hall, 526-7485
E-Mail: dkumar at cs brynmawr dot edu
WWW: http://cs.brynmawr.edu/~dkumar

Lecture Hours: Mondays & Wednesdays, 2:30 p.m. to 4:00.m.
Room: Park 338
Lab: Fridays 2:00 p.m. to 4:00 p.m. in Room 231 (additional lab hours also available, see below)
Course Blog Site: Click here

Laboratories:

Lab Assistants: The following Lab assitants will be available during the week (names and schedules will be posted by the end of this week) for assistance on lab assignments.

  1. Julia Ferraioli: Mondays 9:00a to 11:00a and Tuesdays 4:00p to 6:00p
  2. Anne Miller: Tuesdays 12:30p to 2:30p and Wednesdays 4:00p to 6:00p
  3. Marwa Muhammad: Tuesdays 10:30a to 12:30p and Fridays 10:00a to noon
  4. Bhumika Patel: Mondays 4:00p to 6:00p and Thursdays 4:00p to 6:00p
  5. Shikha Prashad: Tuesdays and Thursdays 7:00p to 9:00p


Texts & Software

Python Programming: An Introduction to Computer Science: by John Zelle, Franklin Beedle & Associates, 2004. ISBN 1-887902-99-6

Python Software + IDLE (This software is already installed in the Computer Science Lab). The software is also available for your own computer from the CD included in your text.

Graphics Library (accompanies and distributed with the text is also installed in the lab)


Important Dates

September 4 : First lecture
October 11: Exam 1
December 13: Last lecture/Exam 2


Assignments

  1. (By September 6): Go to the course blog site (click here) and create an account for yourself (same username as your e-mail username).
  2. Assignment#1 (Due on September 13): Click here for details.
  3. Assignment#2 (Due on September 20): Click here for details.
  4. Assignment#3 (by Wednesday, September 27): Click here for details.
  5. Assignment#4 (by Monday, October 9): Click here for details.
  6. Assignment#5 (by Monday, October 30): Click here for details.
  7. Assignment#6 (by Wednesday, November 15): Click here for details.
  8. Assignment#7 (by Wednesday, November 29): Click here for details.
  9. Assignment#8 (by Wednesday, December 13): Click here for details.


Lectures

Do: Assignment#7 (by Wednesday, November 29): Click here for details.



Grading

All graded work will receive a grade, 4.0, 3.7, 3.3, 3.0, 2.7, 2.3, 2.0, 1.7, 1.3, 1.0, or 0.0. At the end of the semester, final grades will be calculated as a weighted average of all grades according to the following weights:

Exam 1: 20%
Exam 2: 25%
Labs & Written Work: 55%
Total: 100%


Links

The graphics.py file

HTML documentation of graphics.py

A database of color names

 


Created on August 2, 2006.