Welcome to ST 495

Environmental Statistics Practicum (ST495) is a special topics course offered by the Department of Statistics. Students in the course will be expected to complete a statistical analysis of environmental data provided by a client at the beginning of the semester. Examples of past projects can be found using the link to Projects in the side navigation menu. Students will present their results to the clients as well as at various symposia during the semester.

Location Information:
ST495A section 004
2007 Fall Semester
Tuesday and Thursday, 3:00 -- 4:15 PM
Patterson 7

Course Objectives:
Provide an opportunity for students to work on a consulting project with a researcher/client using real environmental data. The student will work with faculty an NCSU or scientists from the U.S. Environmental Protection Agency or scientists from the North Carolina Department of Environment and Natural Resources (NCDENR), the New Jersey Department of Environmental Protection, the Maryland Department of Environment, and/or the NC State Climate Office. The students will meet informally every week. The course will focus on the application of the students' technical skills; the students' interaction with clients; the analysis of environmental data; the development of their writing and oral skills; effective report writing; making presentations to faculty and outside scientists. The students will make a field trip to see how environmental data are collected as of the course and will present the results of their work to the scientists with whom they consult.

Instructor:
William F. Hunt, Jr., Visiting Senior Scientist

Assistant Professor:
Dr. Kimberly Weems

Graduate Assistant:
Mr. Joshua Warren

Faculty Advisor:
Dr. William Swallow

Prerequisites:
Students entering ST495A should have successfully completed ST431 (Experimental Design) and ST430 (Regression Analysis).

Course Guide:
Handouts will be provided. No text is planned to be used at this time.

Grading:
Students will be graded with a letter grade in ST495A.

Support:
This material is based upon work supported by the National Science Foundation under Grant No. 0230471. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.