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*The syllabus will be updated throughout the semester.* Dates,
topics, assigned reading, and
problem set due dates will be added or might change. All changes in
assigned reading and due dates will be
announced in class (and occasionally by e-mail). While I will do my
best to update the web site
accordingly, it is a student's responsibility to keep track of the
problem set due dates and reading assignments. If you are not sure
about due dates, please don't hesitate to ask.

Reading assignments are listed for the day when the material is first explained in class. You may read the material ahead of the lecture or after, either way is fine.

The dates for the midterm exams are set and **will not**
change. If you have a conflict with these dates, please let me know
**right away**. No makeup exams will be given unless there are
circumstances beyond your control AND the makeup time is arranged in
advance.

In addition to exams there will be 7-10 short in-class quizzes throughout the semester. Quizzes will not be announced in advance. The lowest quiz grade will be dropped (i.e. not counted towards the quiz total). A missed quiz will receive a grade of zero and thus will be counted as the lowest grade, unless it was missed due to an illness or other circumstances beyond your control. If you missed a quiz or a lab because of an illness or similar circumstances, it is your responsibility to communicate these reasons to me as soon as possible and arrange for a make-up work.

The midterms, the final, and quizzes are open book, open notes, unless stated otherwise.

*Problem sets and labs* are individual work, unless otherwise
stated. While it's perfectly
OK (and is encouraged) to discuss problem sets in general terms
with others in the class, your solution **must
be** your own work (i.e. written or coded by you without using
anybody else's materials). Copying any part of another person's
solution (even if you modify the code) is considered academic
dishonesty and will be dealt with according to the university's
policy.

Problem sets submitted more than 5 minutes after beginning of the class may be considered late.

Hand in one assignment from the entire group with
names of both students on the first page. If submitting
by e-mail, you **must** CC it to all your partner(s).
In a programming
assignments make sure to keep track (on CVS, in comments or in some other
electronic form) of each partner's contribution to the work.

Generally all group members get the same grade for the submitted
group work. If you feel that your group members are not contributing
the way they should or if there are any circumstances that prevent you
or you partner from contributing a fair share, please talk to your
partners to work out an arrangement (if possible) and in either case
**let me know right
away**. If after the assignment is finished you feel that the group
members have contributed unevenly, please talk to me and I'll try to
come up with a fair grading strategy.

Discussion with students other than those in your group (or anyone not
in this class) should be limited to general approaches to the
problem. All such discussions as well as use of sources other than the
textbook and the handouts given in class **must be acknowledged**
in the beginning of the problem solution. Use of **any**
materials from previous
runs of this class is **not allowed**.

Studying in groups is strongly encouraged. You may study for tests, go over textbook materials or lecture notes, and discuss problem sets in general terms (i.e. without actually writing the formulas or giving out the answers).

Use of laptops for class-related activities is usually allowed, except for test time and other specific assignments. Laptops and other devices may not be used for activities unrelated to the class work (checking e-mail, text messaging, etc.). The instructor reserves a right to ask a student to leave the class if the student uses electronic devices inappropriate in a class. No communication devices can be used during a test, including quizzes. If you are taking notes on your laptop, you are not allowed to access anything other than your notes during a test.

Reading assignments use the following abbreviations:

- Sipser -
*Introduction to the Theory of Computation*by Michael Sipser - CLRS -
*Introduction to Algorithms*by Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein

Monday | Wednesday | Thursday - Lab | Friday |
---|---|---|---|

Week 1: August 25 - 27 | |||

Summer break, no class |
Introduction; algorithms; review of Big-O notation. Reading: CLRS Ch. 1, 3. |
Experimenting with function growth rates. |
More on asymptotic function growth notations. Problem set 1: Big-O notation. Due Fri., Sept 3. |

Week 2: August 30 - September 3 | |||

Pseudocode notations, complexity of algorithms. Correctness of an algorithm, loop invariants. Reading: CLRS Ch. 2. |
Approaches to complexity analysis of algorithms. Reading: CLRS Ch. 4. |
Algorithm development and analysis. |
Recurrences. Reading: CLRS Ch. 4. Problem set 1 due. Problem set 2: algorithm analysis. Due Fri., Sept. 10. |

Week 3: September 6 - 10 | |||

Labor day, no class. |
Recurrences (cont.), the master theorem. |
Algorithm development and analysis. |
Sorting algorithms. Reading: CLRS Ch. 6, 7 (up to 7.2). Problem set 2 due. Problem set 3: recurrences. Due Fri., Sept. 17. |

Week 4: September 13 - 17 | |||

Sorting algorithms (cont.). Randomized algorithms. Reading: CLRS Ch. 5, 7.3, 7.4. |
Non-comparison sorting algorithms. Reading: CLRS Ch. 8. |
Algorithm development and analysis. |
Non-comparison sorting algorithms (cont.). Problem set 3 due. Problem set 4: analysis of sorting algorithms. Due Fri., Sept. 24. |

Week 5: September 20 - 24 | |||

Strings, graphs, sets, proofs. Reading: Sipser Ch. 0 (especially sections on graphs, strings, sets, and proofs). |
Finite automata. Reading: Sipser Ch. 1.1 |
Algorithm development and analysis. Practice with DFA using JFLAP. |
Finite automata (cont.) Problem set 4 due. Problem set 5: background for computability theory; finite automata. Due Fri., Oct. 1. |

Week 6: September 27 - October 1 | |||

Nondeterministic finite automata. Reading: Sipser Ch. 1.2 |
Nondeterministic finite automata (cont). |
Practice with NFA. |
Regular expressions. Reading: Sipser Ch. 1.3. Problem set 5 due. Problem set 6: NFA, DFA/NFA conversion. Due Fri., Oct 8. . |

Week 7: October 4 - 8 | |||

The pumping lemma. Reading: Sipser 1.4. |
The pumping lemma (cont.). |
Regular expressions using JFLAP and in Java. |
Q&A session for the midterm. Problem set 6 due. Problem set 7: regular expressions, the pumping lemma. Due Fri., Oct. 16. |

Week 8: October 11 - 16 | |||

Midterm I (covers material up to Friday, Oct. 2). |
Context-free grammars. Reading: Sipser 2.1 |
The pumping lemma and context-free grammars with JFLAP. |
Context-free grammars (cont.). Problem set 7 due. Problem set 8: context-free grammars. Due Fri., Oct. 22. |

Week 9: October 18 - 22 | |||

Fall break, no class |
Pushdown automata. Reading: Sipser 2.2. |
Pushdown automata with JFLAP. |
Pushdown automata (cont.). Problem set 8 due. Problem set 9: pushdown automata. Due Fri., Oct. 29. |

Week 10: October 25 - 29 | |||

Turing machines. Reading: Sipser 3.1. |
More on Turing machines, Church-Turing thesis. Reading: Sipser 3.2, 3.3. |
Turing machines with JFLAP. |
Decidability. Reading: Sipser 4.1. Problem set 9 due. Problem set 10: Turing machines. Due Fri., Nov 5. |

Week 11: November 1 - 5 | |||

The halting problem. Reading: Sipser 4.2. |
Time complexity: class P problems vs class NP problems. Reading: Sipser 7.1, 7.2, 7.3. |
Extended algorithm development lab, day 1. |
Time complexity: examples of class NP problems; P vs. NP question. Reading: Sipser 7.3. Problem set 10 due. Problem set 11: time complexity, decidability. Due Fri., Nov. 12. |

Week 12: November 8 - 12 | |||

NP-completeness. Reading: Sipser 7.4, parts of 7.5. |
Overview of space complexity. Reading: Sipser parts of 8 (details TBA). |
Extended algorithm development lab, day 2. |
Applications to cryptography. Reading: Sipser 10.6. Problem set 11 due. Problem set 12: NP-completeness, space complexity, applications. Due Wedn., Nov. 23. |

Week 13: November 15 - 19 | |||

Dynamic programming. Reading: CLRS Ch. 15. |
Dynamic programming (cont.). Q&A session for the midterm. |
Midterm II. Covers material up to Fri. November 12th. |
Greedy algorithms. Reading: CLRS Ch. 16. |

Week 14: November 22 - 26 | |||

Greedy algorithms (cont.). |
Graphs, graph algorithms. Reading: Ch. 22, 23, 24. Problem set 12 due. Problem set 13: dynamic programming. Due Fri., Dec. 4 |
Thanksgiving holiday - no class | Thanksgiving holiday - no class |

Week 15: November 29 - December 3 | |||

Extended algorithm development lab, day 3. |
Graph algorithms (cont.). |
Dynamic programming. |
Graph algorithms (cont.). Problem set 13 due. Problem set 14: greedy algorithms, graph algorithms. Due Fri., Dec. 10 |

Week 16: December 6 - 10 | |||

Graph algorithms (cont.). |
A topic from CLRS. |
A topic from CLRS. |
Last day of classes Review and wrap up. Problem set 14 due. Last day to submit any late work. |

Final exam: Wedn., Dec. 15 2010 1:30-3:30pm in Sci 2185. |

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