CSCI-GA.1170-001/002 Fundamental Algorithms, Spring 2016
Lecturer: Prof. Yevgeniy
Dodis, dodiscs.nyu.edu, (212)
998-3084, room 413, WWH. Office hour: Monday 3-4pm
Meeting Time/Place: Monday 5:10-7, room 109, WWH.
Recitation Time/Place: Thu 5:10-6, room 109, WWH.
Recitation Leader: Laura Florescu, florescucs.nyu.edu.
Tutor:
Laura Florescu, florescucs.nyu.edu, Ankit Vani ankit.vaninyu.edu,
Office hours: Tue 5-6:30, Thu 6-8pm, Fri 3-4:30 room 412, WWH.
Midterm: March 21, in class.
Final: May 9th, 5-7pm, room 109.
Mailing list: To subscribe to the class list, follow
instructions at
To post a message to all the list members, send email to
csci_ga_1170_001_sp16@cs.nyu.edu. Please, post only messages
interesting to everybody taking the class. Specific class-related
questions and most of your other correspondence should be directed to
the tutor or the instructor.
Course Homepage: http://cs.nyu.edu/courses/spring16/CSCI-GA.1170-001/index.html
NYU classes (for homework submission): https://newclasses.nyu.edu/portal/site/99de1814-d54b-491e-b5a2-fd50bcbbd490#
Additional Handouts:
Problem Sets:
- Homework 1: (due Feb. 3, 5pm).
(.tex template,
.pdf sample)
- Homework 2: (due Feb 10, 5pm).
(.tex template,
.pdf sample)
- Homework 3: (due Feb 17, 5pm).
(.tex template,
.pdf sample)
- Homework 4: (due Thurs Feb 25, 5pm).
(.tex template,
.pdf sample)
- Homework 5: (due Mar 2nd, 5pm).
(.tex template,
.pdf sample)
- Homework 6: (due Mar 9th, 5pm).
(.tex template,
.pdf sample)
- Homework 7: (due Mar 21st, 1pm).
(.tex template,
.pdf sample)
- Homework 8: (due Apr 4th ).
(.tex template,
.pdf sample)
- Homework 9: (due Apr 13th).
(.tex template,
.pdf sample)
- Homework 10: (due Apr 20th).
(.tex template,
.pdf sample)
- Homework 11: (due Apr 27).
(.tex template,
.pdf sample)
- Homework 12: (due May 5).
(.tex template,
.pdf sample)
Brief Course Description:
This is an introductory course in algorithms. We will cover standard
topics such as sorting, divide-and-conquer, various data structures,
graph algorithms, dynamic programming, greedy algorithms, and - time
permitting - some special topics (e.g., online algorithms). The
emphasis will be given to arguing the correctness of algorithms and
performing the analysis of their running time.
Textbook:
Introduction to Algorithms by Thomas H. Cormen, Charles
E. Leiserson, Ronald L. Rivest, and Cliff Stein, published by MIT
Press.
You can get either the THIRD EDITION (recommended) or the
SECOND EDITION. The
exercises will refer to the THIRD edition.
Grading:
There will be one in-class midterm and a final exam, in addition to
approximately weekly homework assignments. Tentative grade split is
40% homework, 25% midterm and 35% final exam. Students on the "boundary"
between two grades can increase their grade by doing accurate self-grading,
as explained below.
Homework:
Each problem set will consist of several problems. Some of the homework exercises will be routine, but others will be more challenging. I do not expect you to solve all of the homework problems, but I hope that you will benefit from working on the more difficult ones. Homework will be assigned the day of the class, and will be due the following week (unless stated otherwise). No late homework will be accepted. The solutions will be discussed during the recitation of the week the homework is due. We encourage the students to come to the recitation - not only for the homework solutions, - but primarily to see examples of the problems similar to those assigned for the following week.
The maximum point value for each problem (and, sometimes, parts of the problem) will be stated on the homework. Some questions in the homework will be for the extra credit, and will be explicitly marked as such (together with their maximum extra credit) on each assignment. Solving such problems can make your overall grade for the homework above 100%, or, alternatively, effectively "erase" the credit lost for not solving some of the required problems.
We suggest students to use Latex for their solutions, and will provide a Latex
source file for each homework (where the students need to replace "stars"
***** by their solutions). Students are welcome to look at this
short Latex
tutorial for some useful pointers.
Self-Grading:
In particular, after the students
handed in their homework and learned the correct solutions during the
following recitation, but before getting back their graded
solutions, the students can hand in their self-graded homework, using
the same grading system they expect from the actual graders. Unlike
regular homework, self-graded homework should only be submitted by
email to the Tutor. Make sure you use subject line "SP16
self-graded: homework number, your name" if you follow this
option. We believe self-grading their own mistakes will greatly
improve the students' understanding of the material. Moreover, as
explained above, students on the "boundary" between two grades might
increase their grade by doing accurate self-grading.
Concluding Remarks:
- Respect the Format. As explained above, we require
particular format from homework submissions. Please read/understand it carefully, and make sure you follow it to avoid unnecessary score penalties.
- Start early. Most problems will not be hard,
but others will be. Such more difficult problems are not
typically solved in one sitting. Start early and let the ideas
come to you over the course of a few days.
- Be rigorous. Each problem has a (sometimes
unwritten) requirement that you prove your algorithm
correct and analyze its running time. To obtain full
credit for a problem, it is necessary to fulfill these
requirements. We expect real proofs and real analyses, not
"proof by hand waving."
- Be concise. Express your algorithms at the
proper level of detail. Give enough details to clearly present your
solution, but not so many that the main ideas are
obscured. English is often a good way to express an
algorithm; pseudocode is good for communicating complex control
structure.
- Collaboration? You are encouraged to
solve all the homework questions on your own, but are
permitted to brainstorm difficult problems in small
groups, as long as each of you writes the solutions
individually and honestly acknowledges the cooperation.
Needless to say, if you work with others but never come up with
the solution on your own, you may do OK in the homework
component of your grade, but you will suffer on exams, so be
careful.
- Bibles? Help? More or less, you are only
allowed to use the textbook and your lecture notes. In
particular, the use of internet, course bibles, outsiders, and
other clearly "cheating" resources is strictly prohibited.
Please talk to me if you are having
problems keeping up with the material.