Instructor: Likai Chen (likai.chen[at]wustl.edu)
Grader: Chen, Margaret (email@example.com)
Lectures: 3:00-4:00 p.m on Mondays, Wednesdays, and Fridays in Brown 100
Office hour: Wed 4:00-5:30 p.m. and Fri 10:00-11:30 a.m. in Cupples I Room 107.
Statistics Using R with Biological Examples
Kim Seefeld and Ernst Linder,
an e-text that you may download freely.
If you desire a paper copy, you may have it printed and bound at any copy shop from this PDF file.
There will be one midterm in class on 03/06 (Wed) and one final on 05/02 6:00-8:00 p.m. No reference material or electronic devices will be allowed. One page note (letter size and two-sided) may be brought to exams.
Make-up exams are strongly discouraged. If you are aware of a conflict, please inform the instructor before the exam. Make-up exam will only be given if (1) within 1 week of the standard exam and (2) suitable documentation is provided within 2 days.
There will be 12 homework assignments throughout the semester. About 6 homework problems (may including computer homework problems) will be assigned each week and the solutions to all problems will be posted on the course website. Most of the exam and final questions will be similar to these. Hence you are strongly suggested to compare your answers with the posted solution. Weekly homework is due on Friday before the class. NO LATE HOMEWORK WILL BE ACCEPTED.
For questions involving R, put the outcome and analysis results in front and leave the coding afterwards in a seperate paragraph.
Your grade will be based on weekly homework, midterm and final exam.
The threshold for each grade
|85 or above||70-85||60-70|
Open-source software R for statistical computing, and its manual .
Download R from Wustl's software.
Download R Studio from its developer's website.