Analysis of Algorithms (CSCI26102), Fall 201415
Instructor: Ivona Bezakova, email: my_initials@cs.rit.edu (please replace my_initials with ib)
Class meets: Tu/Th 2:003:15, room (GOL)1620
No meetings:: August 26 and August 28 (instructor is out of town at a conference)  to make up for the missed time, there will be outofclass
review sessions for the midterm and final exams.
Office hours (tentative), starting on September 2: Tuesday 3:154pm, Wednesday 10am12pm, and Thursdays 11:50pm, office (GOL)3645
Tutoring center: schedule, staffed by students who took (and performed well in) theoryrelated courses in recent years
0. Homework and Reading
Assigments
For information about topics covered in class,
reading and homework assignments, follow this
link.
1. Prerequisites
MATH190 (Discrete Mathematics for Computing) or equivalent and CSCI243 (The Mechanics of Programming)
2. Text
Algorithm Design by Jon Kleinberg and Eva Tardos.
The assignments webpage (that will contain slides from the lectures):
http://www.cs.rit.edu/~ib/Classes/CSCI261_02_Fall1415/assignments.html
Introduction to Algorithms by Cormen, Leiserson, Rivest, and Stein, 3rd ed. is a great text for further reading (optional).
3. Course description and intended learning outcomes.
This course provides an introduction to the design and analysis of algorithms.
It covers a variety of classical algorithms and data structures and their complexity
and will equip students with the intellectual tools to design, analyze, implement, and evaluate their own algorithms.
Intended learning outcomes:

Students will be able to explain basic concepts related to the design and analysis of algorithms.

Students will be able to describe classical algorithms and their complexity.

Students will be able to design and analyze their own algorithms.

Students will be able to implement, experiment with, compare, and report on various algorithmic solutions to the same problem.
4. Grading Policy

Final exam, 20%.
More information about the final exam will appear on the final exam webpage in the last week of the semester (about a week before the exam).
The exam is scheduled for Wednesday, December 17, 810am, in GOL1400.

Midterm exams, 20%+20%.
There will be two midterm exams: the first is tentatively scheduled for Thursday, October 2 (moved to Tuesday, October 7, due to the career fair), and the second for Thursday, November 13,
during class time. More information about each midterm exam will appear on the
midterm 1 webpage and the midterm 2 webpage about a week before the respective midterm takes place.
Note:
If your score on the final is better than the average of your midterm scores, the overall exam score will be computed as follows:
25% for the final exam, 20% for the higherscore midterm exam, and 15% for the lowerscore midterm exam.

Homeworks, 40%.
There will a short testthesubmissionsystem homework that contributes 1% towards your final grade; this homework is due September 2.
There will be seven regular biweekly homeworks, due Friday, 11:59pm; the first regular homework will be due on September 12.
Homework assignments will be posted on the assignments webpage about two weeks before they are due.
The lowest homework grade will be dropped and the remaining six grades contribute evenly towards 39% your final grade.
You may choose to do the homeworks individually or in pairs.
If you are working as a pair, both partners have to solve the homeworks together
and both partners are responsible for the final submission (both partners
need to be able to explain every part of the submission). In particular, you
are not allowed to divide the problems and solve only some of them while
your partner solves the rest.
Zeros for cheating will not be dropped.
Grading scale: 88%100%: A grades (91%100% A, 88%91% A), 77%88%: B grades (85%88% B+, 80%85% B, 77%80% B),
66%77%: C grades (74%77% C+, 69%74% C, 66%69% C),
55%66%: D, 0%55%: F.
However, your overall grade cannot be more than one letter better than your
average exam grade. Moreover, average exam grade F results in failing the
class.
5. Topics

Asymptotic analysis

Divideandconquer algorithms and recurrences

Greedy algorithms

Dynamic programming

Graph algorithms
 Traversals
 Minimum spanning trees
 Single source shortest path
 All pairs shortest path
 Network flow

The P versus NP problem and NPcompleteness

Other topics such as linear programming, overview of heuristics and approximation,
and randomized algorithms.
Please let me know about any other topics you would like to see discussed in class.
6. Technical issues

You are free to discuss the current homeworks with your classmates, students in the other section, the instructor, and the tutors. After such discussions, you
have to discard all notes, cell phone pictures, and other materials you created during these discussions before you write/code up
the solutions on your own (or with your partner, if working as a pair).
Discussions with anybody else,
including looking up the solutions online or in the literature other than the
course book, are not permitted.
You are encouraged to discuss any class material and
homeworks that have been already handed in with your peers, in the tutoring
center, with the instructor, or anybody else whom you make listen :)

All homeworks are due biweekly on Fridays, 11:59pm. No late submissions will be accepted.
The homework assignments will be usually posted on the assignments webpage a couple of weeks before their due date.
Sometimes a part of the homework will be posted two weeks before the due date and another part a week before the due date.

Handing in your homeworks:

Coding part of the homework has to be submitted via the try system.
It has to follow the coding requirements.
Specific submission instructions are included with each homework description.

Noncoding part may be
 uploaded to MyCourses by the due date as a combination of pdf, txt, and jpg files 
make sure that your name and the problem number appears when one opens the file (not just as a part of the file name), or
 handed in class or during office hours on Thursday before the due date.

Exams are closed book, closed notes. You may prepare one lettersize
handwritten "summary sheet" (no photocopies).
 Homework or exam grade can be disputed within one week
after the graded work is handed back. Dispute the grade with the instructor,
not the grader. Your grades will be posted on MyCourses.

Exams can not be made up except for real emergencies in which case proper documentation (like a doctor's note) will be required. If at all possible, you should contact me prior to the exam. Oversleeping, cars that don't start etc. do not constitute a valid excuse.
 Hopefully there is no need to link to the departmental
policy
on academic honesty. In the unfortunate event when cheating
earns a 0 score on a homework, the lowest noncheating score
will be dropped. Also note that second offenses result in an F in the course.