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CS255Spring 2015Sec1Home Page/Syllabus
Design and Analysis of Algorithms
Instructor:
Chris Pollett
Office: MH 214
Phone Number: (408) 924 5145
Email:
chris@pollett.org
Office Hours: MW 4:15pm5:30pm
Class Meets:
Sec1 MW 3:00pm4:15pm in MH223

To take this class you must have taken:
CS155
with a grade of C or better.
This course covers the basics of randomized algorithms, parallel algorithms, distributed algorithms, algorithms related to the theory of NPcompleteness, and approximation algorithms. Randomized algorithms are algorithms which make use of a random number generator. For instance, one fast way to check if a number is prime makes of such a generator. Parallel algorithms are algorithms which are designed to be partitionable with minimal overhead among many processors who share a global clock. Distributed algorithms are algorithms designed to work on multiple processors which don't share a global clock. An example situation might be to get an algorithm to get a bunch of computers on a network to agree on a common value. NP problems are languages with polynomial time proofs of membership. For instance, given a potential factorization of a number we can in polynomial time check whether it is correct. NPcomplete problems are problems in NP to which any other problem in NP can polynomially time reduced. We will consider different algorithms for during this kind of reduction. Approximations algorithms are usually efficient algorithms which approximately solve some optimization problem which is not known to have a efficient solutions. For instance, one might have an algorithm which approximately finds a traveling salesman tour. In addition to these algorithms, we will also go over the computer algebra algorithms neccessary to do basic cryptographic protocols such as RSA. By the end of this course, you should be able to code one example of a randomized algorithm, parallel algorithm, distributed algorithm, a polynomial time reduction, an approximation algorithm, and a computer algebra algorithm. For each of these types of algorithms, by the end of this course you should be able: LO1  Analyze or code a randomized algorithm, LO2  Analyze or a code a parallel algorithm using Java Threads, LO3  Analyze or code a parallel algorithm using a library such as OpenCL, LO4  Analyze the correctness and run time of a distributed algorithm, LO5  Ananlyze or code a number theoretic algorithm, LO6  Given a problem determine within NP that is promised to be either in P or NPcomplete prove which, LO7  Analyze or code an approximation algorithm for a optimization problem whose decision problem is NPcomplete.
Below is a tentative time table for when we'll do things this quarter:
Week 1:
Jan 26Jan 28 
Appendix C, Start Chapter 5 Probabilistic and Randomized Algorithms (CLRS)

Week 2:
Feb 2, Feb 4 
Finish Ch5, Start Ch 27 Multithreaded Algorithms (CLRS)

Week 3:
Feb 9, Feb 11 
Finish Ch27

Week 4:
Feb 16, Feb 18 
Read Ch 12 Parallel and Distributed Algorithms (MR)

Week 5:
Feb 23, Feb 25 
Map Reduce Paper, Read Ch 13 Online Algorithms (MR)

Week 6:
Mar 2, Mar 4 
Start Ch 31 (CLRS) and Ch 14 (MR) Number Theoretic Algorithms

Week 7:
Mar 9, Mar 11 
Finish Ch 31

Week 8:
Mar 16, Mar 18 
Review, Midterm

Week 9:
Mar 23, Mar 25 
Spring Recess

Week 10:
Mar 30, Apr 1 
Ch 34 NP, and NPcompleteness (CLRS)

Week 11:
Apr 6, Apr 8 
Ch 34 NPCompleteness (CLRS)

Week 12:
Apr 13, Apr 15 
Finish Ch 34

Week 13:
Apr 20, Apr 22 
Start Ch 5 The Probabilistic Method (MR)

Week 14:
Apr 27, Apr 29 
Finish Ch 5 MR

Week 15:
May 4, May 6 
Start Ch 35 Approximation Algorithms

Week 16:
May 11, May 13 
Finish Ch 35, Review


The final will be 12:15pm2:30pm, Friday, May 15 
Homeworks and Quizzes 
50%

Midterm 
20%

Final 
30%

Total  100% 
Grades will be calculated in the following manner: The person or persons with the
highest aggregate score
will receive an A+. A score of 55 will be
the cutoff for a B. The region between
this high and low score will be
divided into eight equalsized regions. From the top region to the low region,
a score falling within a region
receives the grade: A, A, B+, B, B. If the boundary between an
A and an A is 85, then the score
85 counts as an A. Scores below 55 but above 50 receive the grade D.
Those below 50 receive the
grade F.
If you do better than
an A in this class and want me to write you a letter of recommendation, I will generally
be willing provided
you ask me within two years of taking my course.
Be advised that I write better letters if I know you to some degree.
This semester we will have five homeworks and weekly quizzes. Every Monday that we meet this semester, except the first day of class; there will be a
quiz on the previous week's material. The answer to the quiz will either be multiple choice or truefalse, and will basically make sure you reviewed the previous weeks notes. Each quiz is worth a maximum of 1pt. Out of the total of thirteen quizzes this semester, I will keep your ten best scores.
Links to the current list of homeworks, quizzes, and projects can be found on the left hand frame of the class homepage.
After an homework has been returned a link to its solution (based on the best student solutions) will be placed off the homework page. Material from assignments may appear on midterms and
finals. For homeworks you are encouraged to work in groups of up to three people.
Only one person out of this group needs to submit the homework assignment; however,
the members of the group need to be clearly identified in all submitted files.
Homeworks for this class will be submitted and returned completely electronically. To submit an assignment click on the submit homework
link for your section on the left hand side of the homepage and filling out the online
form. Hardcopies or email versions of your assignments will be rejected and not receive
credit. Homeworks will always be due by the start of class on
the day their due. Late homeworks will not be accepted and missed quizzes cannot be made up; however, your lowest score amongst the five homeworks and your quiz total will be dropped.
When doing the programming part of an assignment please make sure to adhere to the
specification given as closely as possible. Names of files should be as given, etc.
Failure to follow the specification may result in your homework not being graded and
you receiving a zero for your work.
The midterms will be during class time on:
Mar 18.
The final will be: 12:15pm2:30pm, Friday, May 15.
All exams are closed book,
closed notes and in this classroom. You will
be allowed only the test and your pen or pencil on your desk during these
exams. Beeper or cellphone interruptions will result in immediate excusal
from the test. The final will
cover material from the whole quarter although there will be an emphasis on
material after the last midterm. No make ups will be given. The final exam
may be scaled to replace a midterm grade if it was missed under provably
legitimate circumstances. These exams will test whether or not you
have mastered the material both presented in
class or assigned as homework during the quarter. My exams usually consist
of a series of essay style questions. I try to avoid
making tricky problems. The week before each exam I will give out a
list of problems representative of the level of difficulty of problems the
student will be expected to answer on the exam. Any disputes concerning
grades on exams should be directed to me, Professor Pollett.
If you believe an error was made in the grading of your program or exam, you
may request in person a regrade from me, Professor Pollett,
during my office hours. I do not accept email requests for
regrades.
A request for a regrade must be made no more than a week after the homework or a midterm is
returned. If you cannot find me before the end of the semester and you would like to request a
regrade of your final, you may see me in person at the start of the immediately following
semester.
Your own commitment to learning, as evidenced by your enrollment at
San Jose State University, and the University's Academic Integrity
Policy requires you to be honest in all your academic
course work. Faculty members are required to report all infractions
to the Office of Student Conduct and Ethical Development. The policy on
academic integrity can be found at
http://www.sjsu.edu/studentconduct/.
Specifically, for this class, you should obviously not cheat on tests. For homeworks,
you should not discuss or share code or problem solutions between groups!
At a minimum a 0 on the assignment or test will be given. A student
caught using resources like Rentacoder will receive
an F for the course and be referred to University for disciplinary action.
I have created a discussion group for this class which I encourage students to use for
asking questions that others might benefit from knowing the answer to.
If you know the answer to a question, and the answer
does not involve sharing a program solution feel free to answer it on the board. If possible I
will answer questions through the board as well. Let's keep the tone on the board
positive and encouraging. I will monitor posts and reserve the right to deny posting
privileges if message tones become uncivil.
The campus policy to ensure compliance with the Americans with Disabilities Act is:
"If you need course adaptations or accommodations because of a disability, or if you need special arrangements in case the building must be evacuated, please make an
appointment with me as soon as possible, or see me during office hours. Presidential Directive 9703 requires that students with disabilities register with Accessible Education Center to
establish a record of their disability."
More information about SJSU policies and procedures can be found at the following links:
