WPI Worcester Polytechnic Institute

Computer Science Department
------------------------------------------


CS 1101 A Term 2009
Introduction to Program Design

Objectives | Why Scheme? | Staff&Contact Information | Where&When | Textbook&Software | Grading | Policies | Schedule&Assignments



What this course is about

What drives someone to write a program? Once you have an idea for a program, what do you do next? What skills does it take to write useful programs? How does computer science interact with other disciplines? And what do computer scientists do besides programming anyway? CS 1101 introduces students to the worlds of computing and programming. Through a series of programming and information design exercises, students will learn how programmers view the world and how to turn problems into working programs. We'll study the various aspects of program design and write some fun programs along the way. This course assumes no prior programming background and is designed for both potential CS majors as well as curious students from other majors. Additional information about the course can be found in the WPI undergraduate catalog course description for CS 1101.

Course Objectives

CS 1101 is designed to help you identify problems that programs can solve and to learn how to design programs that solve problems. Program design involves a series of smaller skills, including information design, logic design, testing, and documentation. Improving your skills in these areas should help you with general problem solving even when you aren't programming.

Outcomes

Upon completion of this course, the student should be able to:

Mapping of Course Outcomes to CS Department Outcomes


Why Scheme?

Why isn't CS 1101 taught using C/C++/Java...? None of the courses in the Computer Science department are intended to just teach you a programming language. Our courses use one or more programming languages to teach Computer Science concepts. Scheme (a close cousin of the programming language Lisp) is particularly well-suited for teaching beginning programmers the essential concepts of program design, because its regular syntax makes it easy to learn how to program in the language and its simplicity means that students can begin writing complete Scheme programs from day one. Once you've mastered program design concepts, you'll find that additional languages can be learned more easily. And don't be fooled into thinking that Scheme is a language for academics only. Some of the following readings provide details on Scheme (and Lisp) programming in academia and in the real world:


Staff

Instructor: Glynis Hamel (GH)

Teaching Assistants: Choong-Soo Lee (CSL), Chris Lieb (CL), Jeff Moffett (JM), Di Wang (DW)

Senior Assistants: Kara Greenfield (KG), Thomas Liu (TL), Shikhar Saxena (ShS), Samuel Song (SaS)

Office Hour Schedule

(Note: TA/SA office hours will be held in FL A22. Glynis Hamel's office hours are held in FL 132.)


Day/Time 11:00 12:00 1:00 2:00 3:00 4:00 5:00 6:00 7:00 8:00 9:00 10:00
Monday JM   TL CSL GH CL       SaS   KG
Tuesday CL JM GH CSL TL CSL            
Wednesday           CL JM ShS ShS      
Thursday         DW DW TL   SaS SaS   KG
Friday   KG GH GH ShS DW            

CS 1101 Tutors

There are also tutors for CS 1101 available at the Academic Resource Center. The tutoring schedule is available from the Academic Resource Center website.


Class Discussion Board and Email

A discussion board for CS 1101 has been set up on myWPI. You are responsible for all announcements and information posted on the myWPI site - check it on a daily basis.

If you have a question regarding your grades in the course, send email to cs1101-staff *at* cs.wpi.edu. Mail sent to this address goes to the instructor and to the TAs. Include your section number in all correspondence.

The instructor's email address is ghamel *at* cs.wpi.edu. Please restrict your use of my personal email address to issues of a confidential nature. You will get a quicker response if you post your questions to the class discussion board.


Lecture and Lab Times

Lectures MTRF from 9:00 - 9:50am, and from 10:00-10:50am in FLPH-UPR. You should attend the lecture for which you are registered.

Labs meet on Wednesdays according to the following schedule:

Section Time Location Lab Assistants
A01 8 - 8:50am SL 123 KG, SaS
A02 9 - 9:50am SL 123 KG, SaS
A03 10 - 10:50am SL 123 KG, SaS
A04 11 - 11:50am SL 123 KG, SaS
A05 12 -12:50pm SL 123 ShS, TL
A06 1 - 1:50pm SL 123 ShS, TL
A07 2 - 2:50pm SL 123 ShS, TL
A08 3 - 3:50pm SL 123 ShS, TL


Textbook and Software

Textbook: The textbook for the course is How to Design Programs by Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, and Shriram Krishnamurthi. MIT Press, 2001. You may use the online version or purchase a hard copy.

Software: We will use DrScheme, version 4.2.1 for all coding projects in the course. You must use DrScheme 4.2.1. No other Scheme implementation or version provides the libraries that we will use in this course. DrScheme is installed on CCC Unix and all CCC lab machines (On CCC Unix, DrScheme is at /usr/local/bin/drscheme). You can also download it to your own computer; it's free and supports the usual OS's (Unix, PC, Mac).


Grading

Exams (60%)

Three exams will be given. Exams are tentatively scheduled for September 14, September 29, and October 15. You must have a passing average on the exams in order to pass the course. (A passing average on the exams is usually around 60%. We may lower this threshold if the exam averages are low; the threshold will not be raised).

Exams are closed-book, closed-notes. You may bring in one sheet of notes (one paper, 8.5" x 11.5", both sides) to each exam. You may not use any computers, calculators, cellphones, headphones, or other electronic devices during the exams.

There are no makeups for exams. Absence from an exam will be excused only for medical or emergency reasons. A note from your doctor or from the Office of Academic Advising will be required. In such cases your final grade will be recorded as Incomplete and you will be allowed to take a makeup exam the next time the course is offered (C-term 10).

Homework (30%)

Eleven homework assignments will be given. Starting with Homework 2, homework assignments will be done in pairs. Most homework assignments will be due on Tuesday and Friday evenings at 5pm. No extra credit or makeup assignments will be given. Read Homework Expectations for details on how to prepare your homeworks. The graders will follow these grading guidelines when grading your homework.

Labs and In-class Group Work (10%)

Labs will be given during conference sections on Wednesdays. To get credit for a lab you must attend at your scheduled time, sign the attendance sheet, actively work on the assignment during the lab period, and use turnin to turn in your work at the end of the lab period. Each lab will be graded as either credit (1) or no credit (0). You will not get credit for a lab unless you attend the section for which you are registered. There are no makeups for labs.

Several times during the term we will take a few minutes of class time for in-class group work. This will consist of one or two questions related to recently-covered lecture material or homework problems. Each group assignment will be graded as either credit (1) or no credit (0). There are no makeups for group assignments.

The total of your best 10 lab grades/group assignment grades will be added to your final average to account for 10% of your final grade.


Academic Honesty Policy

Please read WPI's Academic Honesty Policy.

Labs and In-class group work

Collaboration is encouraged for labs and in-class group work.

Exams

Collaboration is prohibited on exams.

Homework

Collaboration is encouraged on homework assignments. You may discuss problems across pairs, but each pair is responsible for writing up their own solution from scratch.

As examples, each of the following scenarios would constitute cheating (this list is not exhaustive!):

In constrast, the following scenarios would not constitute cheating:

Cheating will not be tolerated. If you are unsure whether a given activity would constitute cheating, ask the instructor. Violations of the Academic Honesty Policy can result in an NR for the course, and violators will be subject to the procedures outlined in section 5 of the WPI Judicial Policy.

Late Policy

Late assignments will not be accepted without prior consent of the instructor (the TAs are not allowed to grant extensions). Extensions will be granted only in the event of unforseen and documentable emergencies, or extenuating circumstances that you discuss with the professor well in advance. One pair member forgetting to turn in an assignment will not be considered an acceptable excuse for an extension. No extra credit or makeup homework assignments will be given.

Homework Submission Policy

Homework must be submitted using the web-based turnin program. Homework submitted by any other means (paper, CD, email, etc.) will receive a grade of zero.

Students with Disabilities

Students with disabilities who believe that they may need accomodations in this class are encouraged to contact the Disability Services Office (DSO) as soon as possible to ensure that such accomodations are implemented in a timely fashion. The DSO is located in Daniels Hall.


Schedule & Assignments

Note: the instructor reserves the right to change the order of topics or the dates of the exams, if necessary.

Week Reading Topics Assignments Extra Notes

Aug 27 - 28 HTDP Chapter 1
HTDP Chapter 2
Intro to Programming and Scheme
Expressions, Images, and Functions
Homework 0
Homework 1 (due: Tuesday, Sept 1)

Lecture 1 objectives
Lecture 2 objectives
Using Images
Creating Operators
Aug 31 - Sept 4 HTDP Chapter 3
HTDP Chapter 4
HTDP Chapter 5
HTDP Chapter 6
Function Composition
Conditionals
Symbols and strings
Structures
Nested structs
Lab 1, Wed 9/2
Homework 2 (due: Tuesday, Sept 8)

Lecture 3 objectives
Lecture 4 objectives
Lecture 5 objectives
Lecture 6 objectives
Symbols and Strings
Study Guide on Functions
Creating helpers (pen code)
Sept 8 - 12 HTDP Chapter 7
HTDP Chapter 9

Mixed data and the Design Recipe
Lists
Templates for lists
Lab 2,Wed 9/9
Homework 3 (due: Friday, Sept 11)
Homework 4 (due: Tuesday, Sept 15)

Lecture 7 objectives
Lecture 8 objectives
Lecture 9 objectives
Study Guide on Structures
Data Definitions and Templates for Structs[pdf]
Design Recipe Worksheet[pdf]
Exam preparation Guidelines
Sample Exam 1 [pdf]
Data Definition and Template for Lists[pdf]
When to Think While Programming
contains-milk? code from Friday's class
Sept 14 - 18 HTDP Chapter 10.1
HTDP Chapter 10.2
Exam 1, Monday, Sept 14
Producing lists
Lists of Structs
Sorting
Lab 3, Wed 9/16
Homework 5 (due: Friday, Sept 18)
Homework 6 (due: Tuesday, Sept 22)
Lecture 10 - Exam 1
Lecture 11 objectives
Lecture 12 objectives
Lecture 13 objectives
Data Definition and Template for List of Struct[pdf]
Solutions and additional problems from Lecture 12
Insertion Sort
Sept 21 - 25 HTDP Chapter 14.1
HTDP Chapter 15.1
HTDP Chapter 15.2
Trees
Hierarchies
Lab 4, Wed 9/23
Homework 7 (due: Friday, Sept 25)
Homework 8 (due: Tuesday, Sept 29)
Lecture 14 objectives
Lecture 15 objectives
Lecture 16 objectives
Lecture 17 objectives
Answers to the "CD Inventory" class problems (.scm file)
Additional problems from Lecture 15
Exam preparation Guidelines
Sample Exam 2 [pdf]
Tree Data Definitions (.pdf)
Solution to descendant tree problem from Lecture 16
Solutions to Friday's lecture problems
Sept 28 - Oct 2 HTDP Chapter 34
HTDP Chapter 35
HTDP Chapter 36
HTDP Chapter 37.1
More on hierarchies
Exam 2, Tuesday, Sept 29
Introduction to set!
Program design with set!
Lab 5, Wed 9/30
Homework 9 (due: Friday, Oct 2)
Homework 10 (due: Tuesday, Oct 6 Friday, Oct 9)
Lecture 18 objectives
Lecture 19 - Exam 2
Lecture 20 objectives
Lecture 21 objectives
Problems from Monday's lecture
Class notes - Thursday's lecture
Code for Vending machine
Oct 5 - 9 HTDP Chapter 40.3
HTDP Chapter 40.5
HTDP Chapter 41
HTDP Chapter 31
Changing struct contents
More on set with structures
Counting cycles
Accumulating data
Homework 11 (due: Tuesday, Oct 13)
Lab 6, Wed 10/7

Lecture 22 objectives
Lecture 23 objectives
Lecture 24 objectives
Lecture 25 objectives
Notes from lecture 22
Code from Lecture 24
Sample Exam 3 [pdf]
Oct 12 - 15
HTDP Chapter 21.1, 21.2
Intro to higher-order functions
Filter and map
Wrap-up, course evaluations
Exam 3, Thursday, Oct 15
Lecture 26 objectives
Lecture 27 objectives
Lecture 28 - Exam 3
Programs from lecture 27




------------------------------------------
http://www.cs.wpi.edu/~cs1101/a09/index.html


[WPI] [CS]