This is a course in experimental design and data analysis. Computer simulations will be used to understand the concepts of various statistical tests, but no prior experience in programming is required. The experimental design part of the course will use a textbook (see below). The main theme of the data analysis part of the course is the maximum likelihood method although other approaches are also discussed.
The computer language R (http://www.r-project.org/) will be used.
Ask questions, in or out of class, when you don’t understand something. There is no such thing as a stupid question, and if you are confused you are probably not the only one. Asking questions in class is probably the best way to increase your class participation points (see below).
Assignments will be given nearly every week. Students must work on assignments on their own. Understanding a solution and deriving it by yourself are not the same (especially for programming). To discourage copying assignments (that has been very common in past years), assignments are not graded by the instructor. That is, students are not asked to submit their assignments. Therefore, even if students copy and have the perfect assignments, the assignments have no influence on their grades. Nonetheless, successful completions of the assignments are essential for the successful completion of the course. Students are encouraged to seek out the instructor for help when they have troubles completing assignments.
Exam 1 40%
Exam 2 60% (cumulative)
Bonus points may be added to the final grades at the end of the semester. Bonus points will be calculated based on attendance and participation (e.g., asking questions). Two absences or four tardinesses will make 0 bonus points (a tardiness over 20 min is considered as an absence). Poor class participation (e.g., playing with a cell phone/computer, sleeping, etc.) is considered as an absence. Because these are bonus points (e.g., without them, it is still possible to get 100% in the course), even when students have a valid reason for, e.g. an absence, it is still considered an absence. The maximum possible bonus points is 10%, but students whose grade is less than 60% without a bonus point can get at most 60% in their final grades no matter how good attendance and participation are. In addition, graduate students whose grade is less than 70% without a bonus points can have at most 70% no matter how many bonus points they may have.
The schedule (shown in the content section of this website) is subject to change.