Discrete Mathematics G22.2340-001
Summer 2006

Tuesdays 6:00-8:20 Room 101 or 102 WWH

Instructor's Information                              
Harper Langston                              
harper AT cs DOT nyu DOT edu                              
719 Broadway, Room 1212                              
(212) 998 3342                              
Office Hours: Mondays 5-7 and by appt.                              

Course Information
This offering of Discrete Mathematics is designed to be an introduction to the mathematical techniques and reasonings that are required of a good computer scientist. Upon successful completion of this course, students should be comfortable with tackling the mathematical issues confronted in an Algorithms and Data Structures course. More importantly, you will begin to learn how to think like a computer scientist and see how solving problems often confronted in computer science can be fun and challenging!

Students should be comfortable with Basic Algebra such as seen at the high school level. The topics we will cover in this course will include logic, proof techniques, induction, recursion, combinatorics, basic probability, algorithm analysis and efficiency, and discrete structures (including elementary graph theory). No prior programming experience is required, but students will be encouraged to tackle small programming tasks.

Updates!
3/29/06 - The basic structure for the course and the web page is up with basic information. More information about the textbook, etc. will follow

5/16/06 - Course e-mail list subscription information has been posted below. Please subscribe yourself! Also, Lecture Notes for Chapter 1 and the lecture have been posted for the first class.

5/17/06 - I am required to remind everyone of the department's Academic Integrity Policy at http://www.cs.nyu.edu/web/Academic/Graduate/academic_integrity.html.

5/18/06 - Homework #1 has been posted at assign1.html, and is due on 5/23/06.

5/22/06 - Lecture Notes for the second lecture have been posted below. Also, in light of our discussion about flawed arguments from last week, take a look at the following blog: http://goodmath.blogspot.com/ called "Good Math Bad Math". I also may discuss Godel's Incompleteness Theorem a little this week, and for those interested, take a look at the articles from a recent Notices of the AMS (April 2006) devoted to his work.

5/25/06 - Homework #2 has been posted at assign2.html, and is due on 5/30/06.

5/31/06 - Homework #3 has been posted at assign3.html, and is due on 6/06/06.

06/06/06 - Lecture 4 Notes have been posted as well as notes for Chapters 2, 3 and 4

06/07/06 - Homework #4 has been posted at assign4.html, and is due on 6/13/06.

06/13/06 - Homework #5 has been posted at assign5.html, and is due on 6/13/06.

06/16/06 - Hwk1 Solutions, Hwk2 Solutions and Hwk3 Solutions have been posted.

06/22/06 - Homework #6 has been posted at assign6.html, and is due on 6/2706.

06/26/06 - Hwk4 Solutions and Hwk5 Solutions have been posted.

06/27/06 - Lecture Notes for tonight: Lecture 6 Notes. Also, notes on asymptotics and recurrences: Siegel/Cole Notes.

06/27/06 - I am posting notes for Chapters 5 and 6: Chapter 5 Notes and Chapter 6 Notes.

6/28/06 - Homework #7 has been posted. The additional homework problems are in the handout at Ch14HwkProbs.pdf.

7/11/06 - Solutions for assignment 6 have been posted below.

7/12/06 - Homework #8 has been posted. The additional homework problems are in the handout at Ch14HwkProbs.pdf. Also, make sure to read the Siegel/Cole Notes for understanding how to rank the functions. Try to read all of this material if possible.

7/18/06 - Here are the lecture notes from the last two classes: Lecture 8 Notes and Lecture 9 Notes.

7/19/06 - Homework #9 has been posted: Homework #9

If you are curious about the class and would like to know more (or meet with me beforehand to talk about your background), e-mail me!

Class Mailing List
Please sign up for the class mailing list ASAP. We will use this to send out announcements, etc., and students can use it to ask each other for homework help, discuss challenging problems, etc. Go to http://www.cs.nyu.edu/mailman/listinfo/g22_2340_001_su06 and put in the e-mail address you plan to use for the class (You can subscribe with multiple e-mail addresses) and a password, and you will receive a confirmation e-mail. If you want to send a message to the class, e-mail g22_2340_001_su06@cs.nyu.edu

Textbooks
There will be one basic textbook and several suggested textbooks, from which sections for reading may be chosen or sample bonus problems.
We will attempt to assign challenge problems continuously (mainly for extra credit).

Required

  • The required textbook will change this year from last year. The following text is more appropriate for a graduate level course but also provides a good level of background for students who feel they may need it.
    Discrete Mathematics and Its Applications (Hardcover)
    Kenneth H Rosen
    McGraw-Hill Science/Engineering/Math
    5 edition (April 22, 2003)
    ISBN: 0072930330

    There is also a students solutions handbook for the above book, available from Amazon, Barnes and Noble, etc.

Suggested/Supplemental - These texts are by no means required, but we may discuss parts of them in class; they also provide extra background and motivation for material covered.
  • How to Solve It - A New Aspect of a Mathematical Method by G. Polya
  • Introductory Graph Theory by Gary Chartrand (ISBN: 0-486-24775-9)
  • The Puzzling Adventures of Doctor Ecco by Dennis Shasha (ISBN: 0-486-29615-6)
  • Doctor Ecco's Cyberpuzzles by Dennis Shasha (ISBN: 0-393-05120-X)

Homework

The homework will be designed to supplement readings and lectures. The best way to become adequately mathematically literate in this material is through continuous exercises, so homework will given semi-regularly and will be due the week following when it is assigned. Students can work with others, but they must indicate on their homework with whom they have worked (working together in no way affects your grade). Additionally, homework will be posted on-line the day it is handed out and students can present their solutions via e-mail in case they are unable to attend a lecture. Collaboration is encouraged but must be acknowledged on the top of your assignment. See the Academic Integrity Policy for more information: http://www.cs.nyu.edu/web/Academic/Graduate/academic_integrity.html.

Exams

There will be a midterm and a final. Dates to be decided. However, as noted below in grading, homework will be weighed more heavily, and exams will be mainly used so that students can evaluate their own progress and understanding of the material. The midterm may also be take-home.

Attendance/Class Participation

Regular attendance is the best way to stay current on the material, especially since we will be reviewing homework assignments and general questions. Plus, new material will be introduced weekly. However, we understand that many students have full-time jobs during the summer. If you are interested in the class and are unsure how often you will be able to attend, e-mail the instructor. Office hours will also be able for students who need to review certain topics. (The goal of the course is to adequately prepare you for the rest of the graduate program, so we want to make sure students feel comfortable.)

Additionally, students will be assigned challenge problems for presenting and leading a discussion for 5-10 minutes of a class. They will be problems from Dennis Shasha's books - these problems are often difficult, but the answers are provided; presenting and discussing these problems will give students an opportunity to better understand how to think like a computer scientist when solving complex problems and how to present an interesting problem and its solution.

Grading

Grade distribution has not fully been decided; however, I often feel that homework better reflects students' abilities since not everyone does well on exams, so homework will factor more heavily into the equation:
Class Participation/Problem Presentation = 5%
Homework = 50%
Midterm = 20%
Final = 25%

Additionally, please note that since the emphasis will be on teaching you as much as possible for preparation for the rest of the graduate program, testing in this course will not be overly intense. Students who routinely strive to complete the homework and stay current with lectures and reading can expect to receive good final grades. Further, extra credit will be available for students who want to work on more interesting problems and supplement their grades.

Collaboration

Students are encouraged to collaborate but are expected to indicate as such on any homework turned in. Exams will be in class, so no collaboration will be allowed. See the Academic Integrity Policy for more information: http://www.cs.nyu.edu/web/Academic/Graduate/academic_integrity.html.

Class Mailing List

There will be a class mailing list, which will be posted here. All students will be required to join.

Syllabus

Still being decided, but the basic structure will follow previous years: (This is last year's syllabus posted here)

Lecture
Date Lecture Topic Reading
1 May 16 Introduction and Logic of Compound Statements Lecture Notes and
Chapter 1 Notes (by J.L. Gross, courtesy of Eitan Grinspun)
2 May 23 Logic of Quantified Statements and Intro to Proofs Lecture Notes
3 May 30 Elementary Number Theory, Set Theory and Methods of Proof Continuation of Lecture 2 Notes
4 June 6 Pigeonhole Principle, Algorithms, Sequences and Mathematical Induction Lecture 4 Notes and
Chapter 2 Notes, Chapter 3 Notes and Chapter 4 Notes(by J.L. Gross, courtesy of Eitan Grinspun)
5 June 13 Counting Chapter 5 Notes
6 June 20 Combinations, Permutations and Probability Chapter 5 Notes
7 June 27 Probability and Asymptotics Chapter 6 Notes
8 July 11 Recurrences and Sorting Lecture 8 Notes
9 July 18 More recurrences and solving Lecture 9 Notes
10 July 25 Graphs and Trees Graphs and Trees Notes
11 August 1 Final Presentations