Description. This course surveys the most important algorithms and data structures in use on computers today. Particular emphasis is given to algorithms for sorting, searching, graphs, and strings. The course concentrates on developing implementations, understanding their performance characteristics, and estimating their potential effectiveness in applications.
Prerequisites. COS 126 or ISC 231–234 or approval by the COS placement officer.
Lectures. Lectures meet at 11–12:20pm on Tuesdays and Thursdays in Thomas Lab 003. Laptops, tablets, and phones are prohibited, except for activities directly related to lecture, such as viewing lecture slides and taking notes.
Precepts. Precepts meet once per week and cover details pertinent to programming assignments, quizzes, and exams. Come prepared to participate in the discussion, not just ask questions.
Course staff.
 Kevin Wayne Faculty Instructor |
 Maia Ginsburg Faculty Lead Preceptor |
 Ibrahim Albluwi Faculty Lead Preceptor |
|
 Ross Teixeira Graduate Student Preceptor |
 Qasim Nadeem Graduate Student Preceptor |
 Allison Chang Graduate Student Preceptor |
 Lisa Jian Graduate Student Preceptor |
The staff is complemented by a team of Undergraduate Course Assistants (Ariel Chen, Georgy Noarov, John Hallman, Kevin Jeon, Rebecca Barber, William C. Sweeny, Audrey C. Cheng, Devon Wood-Thomas, Julie Kallini, Alice Gao, Ioana Teodorescu, Jessica Pan, Maxwell Xu, Anna Qin, Arjun Devraj, Jamie Guo, Justin Chang, Vedika Patwari, Somya Arora, Thomas M. Martinson, Yashodhar Govil, Ze-Xin Koh, Gabriel Birman, Gemma Zhang, Henry T. Wang, David Todd, William Li).
Office hours. You are welcome to attend the office hours of any staff member.
| TIME | ROOM | PERSON | OFFICE | HOURS | |
|---|---|---|---|---|---|
| L01 | T Th 11–12:20pm |
Thomas Lab 003 |
Kevin Wayne |
Corwin 040 | M 1:30–3:30pm |
| P01 | F 10–10:50am |
Friend 009 |
Ibrahim Albluwi |
221 Nassau St. | M 11:30-1:30pm |
| P01A | F 10–10:50am |
Friend 108 |
Lisa Jian |
Friend 010 | Su 3–5pm |
| P02 | F 11–11:50am |
Friend 009 |
Ibrahim Albluwi |
221 Nassau St. | M 11:30–1:30pm |
| P02A | F 11–11:50am |
Friend 108 |
Allison Chang |
Friend 010 | T 3-5pm |
| P03 | F 12:30–1:20pm |
Friend 009 |
Maia Ginsburg |
Corwin 041 Friend 010 |
M 3:30–4:30pm Th 4:30–5:30pm |
| P03A | F 12:30–1:20pm |
Friend 108 |
Qasim Nadeem |
Friend 010 | F 5–7pm |
| P04 | F 1:30–2:20pm |
Friend 009 |
Ross Teixeira |
Friend 010 | F 4–6pm |
| P05 | Th 3:30–4:20pm |
Friend 009 |
Maia Ginsburg |
Corwin 041 Friend 010 |
M 3:30–4:30pm Th 4:30–5:30pm |
Programming assignments. The programming assignments involve applying the material from lecture to solve problems in science, engineering, and commerce.
Quizzes. The quizzes consist of two or three short questions per lecture, to ensure that you are keeping up with the material.
Exams. The in-class midterm exam is Tuesday, October 23. The final exam is Tuesday, January 22 at 1:30pm in McCosh 10.
iClickers. To make the lectures more interactive, we will be using iClickers. Any hardware version is suitable. You must register your device in Blackboard.
Course grades. Your grade for the course will be based on the following components: programming assignments (45%), quizzes (10%), midterm exam (15%), final exam (25%), and participation (5%). Participation includes using iClickers in lecture and making positive contributions in precept or on Piazza.
Regrades. If you believe that your work was misgraded, write a short note describing the potential mistake; attach it to the graded work; and give it to your preceptor within two weeks of when the work was returned.
Course website. This course website includes links to course content, including lecture slides, programming assignments, quizzes, and old exams.
Textbook. Algorithms, 4th edition by Robert Sedgewick and Kevin Wayne. Addison-Wesley Professional, 2011, ISBN 0-321-57351-X. The assigned readings are required.
Booksite. The booksite contains many useful resources while programming.
Lecture videos. You can access lecture videos that accompany the course textbook via Salon.
Discussion forum. The best way to ask a short question about the course materials is via Piazza, an online discussion forum where you can ask (and answer) questions.
Programming environment. You may develop your Java programs on any machine that you like. Here are instructions for setting up an IntelliJ-based programming environment under Mac OS X, Windows, and Linux.
Laboratories. Undergraduate lab TAs are available to answer general computing questions in Lewis 121 and 122. They can assist you in debugging, provided you have first made a reasonable effort to identify the bug and isolate the problem. For non-debugging questions, use Piazza or office hours.