Announcements

• Notes for Tuesday's class are posted
• The practice quiz for this week is posted in PDF and txt formats.
• A Bonus Lab 13 is posted and due Wednesday 10 December at 11:59pm. Should you complete this lab, your score on lab 13 will replace your lowest quiz or homework grade.
• Lab 12 is posted and due Saturday 6 December at 11:59pm
• Read through the "Line Length" part of the Python Style Guide. A link to it has been added to the bottom of the Programming Style section of this page. You can also get to it from the "External Links" section of this web page.
• Quick link to other sections: Tia Newhall (MWF 9:30-10:20) and Jeff Knerr (MWF 11:30-12:20)
• A Graphics Quick Reference Page is now available online

Introduction

Welcome to CS21! This course will introduce fundamental ideas in computer science while also teaching you how to write computer programs. We will study algorithms for solving problems and implement solutions in the Python programming language. Python is an interpreted language that is known for its ease of use. We also introduce object-oriented programming and data structures. A deeper coverage of these topics will be presented in CS35.

This course is appropriate for all students who want to learn how to write computer programs and think like computer scientists. It is the usual first course for computer science majors and minors. Students with advanced placement credit or extensive programming experience should place out of this course and instead begin with CS35. If you have no prior computer science or programming experience, this course is designed for you.

Goals for the Course

By the end of the course, we hope that you will have developed the following skills:

• Given a program, be able to simulate on paper how a computer would execute the program, and show the results that would be produced.
• Given a problem, be able to design a clear, concise, and correct pseudo code algorithm to solve it.
• Given a pseudo code algorithm, be able to successfully implement it in Python.
• Be able to use top-down design to sub-divide a large problem into reasonably-sized modular sub-problems.
• Given several algorithms for solving the same problem, be able to analyze which algorithm would be more efficient in terms of running time.
• Develop debugging and unit testing skills. Consistently use these skills while implementing programs.
• Learn to work as part of a team to solve problems starting from design and continuing through to implementation.

Class info

Room: Science Center 240
Time: TR 9:55am–11:10am
Text: Python Programming: an Introduction to Computer Science by John Zelle

Instructional staff

Professor: Andrew Danner
Office: Science Center 253
Phone: (610) 328-8665
Office hours: by appointment

Student Support: Betsy Horner
Office: Science Center 255
Email: bhorner1
Phone: 957-6062

Student Mentors:Celeste Abou Negm (D), Jake Baskin (K),
Maria Kelly (K), Ashley Oudenne (N), and Joel Tolliver (D)

Other Sections: Tia Newhall (MWF 9:30-10:20) and Jeff Knerr (MWF 11:30-12:20)

Study sessions

Several student mentors will assist me in class and run study sessions in the main CS lab (Science Center 240) on the following evenings:

Day	Time	Location
Sunday	7-9pm	Sci Center 240
Wednesday	7-9pm	Sci Center 240

You are invited – and encouraged – to participate in these study sessions to prepare for quizzes, to discuss programming concepts, and to get friendly assistance in working on homework assignments. Our CS mentoring team is dedicated to helping students, who have no prior knowledge of computer science, learn to program in Python while keeping their senses of humor intact. As an added bonus, free food will be provided at the sessions.

Weekly Lab Office Hours

CS21 faculty will staff part of our office hours in the robot lab (252 Science Center). Any CS21 student is welcome to attend any session.

Time	Professor	Location
Monday 3:30-4:30	Newhall	Science Center 252
Monday 4:30-5:30	Danner	Science Center 252
Friday 2:00-3:00	Knerr	Science Center 252

Schedule

WEEK	DAY	ANNOUNCEMENTS	TOPIC & READING	LABS
1	Sep 02	Using Unix: 8pm Sci240 Using Unix: 7pm Sci240 (Sep 03)	Introduction to Python and Unix Chapt. 1-2	Lab 0 Lab 1
	Sep 04
2	Sep 09	Practice Quiz1 PDF | txt	Numbers and Strings Chapt. 3-4 (Skip 4.6)	Lab 2
	Sep 11	ASCII table Drop/add ends (Sep 12)
3	Sep 16		Booleans Chapt. 7	inclass Lab 3
	Sep 18
4	Sep 23	Practice Quiz2 PDF | txt	Graphics, objects Chapt. 5	inclass Lab 4
	Sep 25
5	Sep 30	Finals Schedule Posted (Oct 01)	Functions, objects Chapt. 6	inclass Lab 5
	Oct 02
6	Oct 07	Practice Quiz3 PDF | txt	Loops, Top Down Design Chapt. 8, 9	inclass Lab 6
	Oct 09
	Oct 14	Fall Break
	Oct 16
7	Oct 21		Top Down Design, Loops Chapt. 8, 9	inclass Lab 7
	Oct 23
8	Oct 28	Practice Quiz4 PDF | txt	Searching, Analysis of Algorithms Chapt. 13.1	inclass Lab 8
	Oct 30
9	Nov 04		Recursion, Sorting Chapt. 13.2-13.3	inclass Lab 9
	Nov 06
10	Nov 11	Practice Quiz5 PDF | txt	More Recursion, More Sorting Chapt. 11.6	inclass Lab 10
	Nov 13
11	Nov 18		Defining new classes Chapt. 10	inclass Lab 11
	Nov 20
12	Nov 25		Object Oriented Design Chapt. 12	Lab 12
	Nov 27	Thanksgiving Break
13	Dec 02	Practice Quiz6 PDF | txt	Linked lists handout
	Dec 04
14	Dec 09		Wrapup
	Dec 19	Final Exam 2pm-5pm

Grading

Grades will be weighted as follows:

40%	Homework assignments
30%	Quizzes
5%	Class Participation
25%	Final Exam

Homework policy

Programming assignments will typically be assigned in class at the beginning of the week and will be due before midnight the following Tuesday night. You are strongly encouraged to start early and to attend the study sessions for extra practice.

You will submit you assignments electronically using the handin21 program. You may submit your assignment multiple times, but each submission overwrites the previous one and only the final submission will be graded. Late assignments will not be accepted except in extreme situations and only if you contact me before the deadline. Even if you do not fully complete an assignment, you may submit what you have done to receive partial credit.

How to Succeed in CS21

• Read the material before you come to class.
  Don't worry about total comprehension, but at least get a feel for what we will be covering that week. If you have some understanding of the material coming into class, it will be easier for you to ask questions during class, rather than later when help may not be available. Additionally, we often do lab exercises during class. This is an important part of the learning process, as these exercises give you immediate experience with the material we are covering. If you read the book before you come to class, you'll be able to complete these exercises more easily.
• Ask questions if you don't understand.
  This means both during class and while doing your homework. This class continually builds on previous material, so if you don't understand something one week, it will continue to be a problem the next week, and the week after that, and so on. If you need help, ask your classmates, attend the study sessions, come talk with me during my office hours, or email me your question.
• Start the homework assignments early.
  I realize this one is not always easy to do, but if you can get in the habit of doing this, you will be much better off. If you get stuck early (i.e., not two hours before it is due), there will be time to look for help. In addition, if you start early enough, you can take a break, go do something else, and come back later. I find I always have at least a few new ideas when I come back to a problem after a break. If you wait until the last minute, you can't do this.
• Practice, practice, practice.
  The only effective way to learn the material and pass the quizes and exams is to consistently do the homework. Finish all of the assigned programs (and do some extras, for fun!). Even if you don't get them done on time, they will still help you learn the material.
• Seek help early and often.
  Because course material builds on previous material, it is essential to your success in this class that you keep up with the course material. If you are having difficulty with a programming assignment, if you didn't follow something covered in lecture, if you feel you need some extra help understanding or practicing some of the course material, or if you just want to discuss something from a lecture, an assignment, or the text, please come to my office hours.
• Attend CS21 Study Sessions.
  The CS21 Student Mentors (Ninjas) hold evening study sessions each week. You are encouraged to participate in these sessions. The Ninjas will help you prepare for quizzes, will provide additional instruction in programming concepts, and will provide friendly assistance on your homework assignments.
• Work with a partner.
  Several of the assigments will optionally allow you to work with a partner. This is highly recommended. Working in groups can help you progress further through the assignment more quickly. Partners can often catch silly coding mistakes that may leave you frustrated for hours if working alone. Explaining concepts and ideas to a partner is a great way to help you learn the material and clarify your thinking. If you are interested in working with a partner but do not know who to ask, contact me and I can try to pair you up with a compatible student.

Programming Style

Programming is not a dry mechanical process, but a form of art. Well written code has an aesthetic appeal while poor form can make other programmers and instructors cringe. Programming assignments will be graded based on style and correctness. Good programming practices usually include many of the following principles:

• A comment at the top of the program that includes:
  • Program authors
  • Date or Dates
  • A brief description of what the program does
• Concise comments that summarize major sections of your code
• Meaningful variable and function names
• Function comments that include:
  • description of what function does
  • description of input parameters
  • description of return value or values
• Well organized code
• White space or comments to improve legibility
• Avoidance of large blocks of copy-pasted code

Also, look over the Python Code Style Guide for more details and some example of good style.

Academic Integrity

Academic honesty is required in all work you submit to be graded. You may not submit work done with (or by) someone else. You may not examine or use work done by others to complete your own work. You may discuss assignment specifications and requirements with others in the class to be sure you understand the problem. In addition, you are allowed to work with others to help learn the course material. However, with the exception of the student mentors and your partner on group assignments, you may not work with others on your assignments.

All code you submit must be your own with the following permissible exceptions: code distributed in class, code found in the course text book, and code worked on with an partner. In these cases, you should always include detailed comments that indicates on which parts of the assignment you received help, and what your sources were.

"It is the opinion of the faculty that for an intentional first offense, failure in the course is normally appropriate. Suspension for a semester or deprivation of the degree in that year may also be appropriate when warranted by the seriousness of the offense." - Swarthmore College Bulletin (2008-2009, Section 7.1.2)

Please see me if there are any questions about what is permissible.

External Links

Links that are related to the course may be posted here. If you have suggestions for links, let me know.

Python style guide From Prof. Tia Newhall
Using Unix Improved
Basic Unix Commands
Python Documentation
Textbook site
How To Think Like a Computer Scientist: Learning with Python

Home Page

Last updated: Tuesday, September 22, 2020 at 01:07:39 PM