CS111 Syllabus
CSC111 Spring 2010 -- Syllabus
Contents
Prof
Dominique Thiébaut email
Dept. Computer Science
Ford Hall, 356.
Telephone: 3854
Office hours TBA, and by appointments
Introduction
Course Overview: This course is an introduction to computers, computer science and computer programming. The programming language Python is used to introduce basic programming skills and techniques.
This is the first course in the Computer Science major, and no previous experience with computers or programming is assumed.
Objectives: The objectives for this course are for each student to become familiar with
- Basic programming constructs such as if-then statements, loop control, functions, arrays, simple input-output, searching, and recursion.
- Good programming techniques including top-down design, program documentation, modular design, all resulting in code that can be readily understood and used by other programmers.
- The Python programming language
- The basic internal operation of a computer, including the central processing unit, simple memory management, and the file system.
Prerequisites
No prerequisites!
Schedule
The class meets three times a week, MWF, in McConnell 103, 10:00-10:50 a.m., and for a two-hour lab session Thursday, in Ford Hall 241, 1:00-2:50 p.m.
Programming assignments are given every week. Approximately 10 homework assignments can be expected this semester. There will be an in-class midterm exam and a final take-home exam.
The due date for the homework assignments is tentatively set to TBA evening, at midnight.
Topics
The course covers the following topics (this list is tentative):
- Windows and Unix tools
- Computers and programs
- Computing with numbers
- Strings
- Objects and Object-Oriented programming (OOP)
- Functions
- Control structures
- Loops
- Classes
- Advanced Topics
Class and Lab Times
- Lectures MWF: 10-10:50 a.m.
- Lab R 1:00-2:50 p.m.
There will be TA sessions. Their location and time is available here.
Textbook
Python Programming: an Introduction to Computer Science. by John Zelle, Franklin, Beedle & Associate. It is available at the campus-center bookstore, an also on Amazon.com
Other Sources of Material
Check the class homepage for additional links to Python-related sources.
Lateness Policy
No late assignments will be accepted (except in case of documented illness or personal difficulties). The assignments are tentatively scheduled to be due every TBA evening at midnight.
You are, however, allowed to drop any one assignment without penalty. If you turn in all the assignment this semester, the one with the lowest grade will be dropped for you automatically.
Grading
You have two options for completing each homework assignment. You can either work individually (sharing ideas with classmates and getting input from the TAs and instructors as needed), or you may work in pairs. If you work in pairs, you need to follow the protocol for 'pair programming' as discussed in this article. If you select pair programming, be sure that each partner understands the concepts and final recipe fully, since exams will, of course, be individual.
Homework assignments 40%, Participation 10% Midterm 25%, Final 25%.
Teaching Assistants
The teaching assistants are:
- Amy Tayloe atayloe@smith.edu
- Aigerim Karabekova akarabek@smith.edu
- Lindsey Gregor lgregor@smith.edu
- Julia Burns jburns@smith.edu
Super TA:
- Alex Cheng acheng@smith.edu
To see when and where they are available this week, click here.
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