CSci 3501 Algorithms and Computability: Syllabus

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Syllabus

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 midterms, the final, and quizzes are open book, open notes.

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 8-10 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.

Policies on Collaboration and Use of Resources

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.

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

Late problem sets policy: Problem sets are due in the beginning of the class on the due date. If a problem set is submitted at (or before) the next class meeting after the due date, it is graded out of 3/4 credit. If it is submitted any time after the next meeting (until the last class meeting), then it is graded out of 1/2 credit.
Problem sets submitted more than 5 minutes after beginning of the class may be considered late.

Groups for labs and problem sets

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

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).

Course topics and timeline