CS498-SS Algorithms in Bioinformatics (Fall 2007)
PrerequisitesPrerequisites include programming skills (equivalent to CS 225 or CS 300) and knowledge of probability and statistics. No biology background is necessary. Students who have a non-CS major are encouraged to take the course upon consent of the instructor.
The course is lecture-based with regular problem sets and machine problem assignments plus a midterm examination and final examination.
Course Policy and Grading
Attendance is mandatory, but use common sense if you are sick or have other constraints. Note that attending the lectures is sometimes the only chance for you to learn
certain materials as they may not necessarily be in the textbook. This is especially the case for the second half of the course, where we cover topics outside of the textbook.
The assignments are designed to ensure that students have a deep and precise understanding of the major algorithms, thus the students are required to complete them independently. However, discussion with others is allowed to the extent of helping understand the material. The purpose of student collaboration is to facilitate learning, not to circumvent it. The actual solution must be done by each student alone, and the student should be ready to reproduce their solution upon request. If any substantial discussion happens, every one involved must write down the names of the people that he/she has discussed with and the nature or topic of discussion. In any case, you must exercise academic integrity. See the University Policy on Academic Integrity, especially the section on plagiarism.
Late submission of an assignment would result in a reduced grade for the assignment, unless
an extension has been granted by the instructor. An assignment is worth full credit at the beginning of
class on the due date (later if an extension has been granted). It is worth at most 80% credit after that time unless an extension has been approved by the instructor. No homework will be accepted more than 3 days after the due date unless an extension has been approved by the instructor.
Graduate students who take the course for full credit (i.e., 4 graduate hours) are
required to finish a small project, which could be either a literature review on a
bioinformatics topic or some piece of research work in bioinformatics.
Team work is allowed. Students who plan to do such a project should discuss the
plan with the instructor early in the semester.
Dec. 15, Friday.
Grading will be based on the following weighting scheme.