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Envs 541
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EnvS 541 |
Sampling and Analysis of
Environmental Contaminants |
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Audio
- Maxine speaks about
what will be covered in her course.
Dr. Maxine Dakins
Asst. Professor of Environmental
Science
Phone: (208)
282-7957
Web: Faculty Web Page
E-mail: medakins@if.uidaho.edu
Course Web:
http://www.webs.uidaho.edu/envs541/ |
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Student Reactions
Student Comment
"The professor was extremely
organized and all of the material was available all semester long. "
Student Comment
"Being able to slowly digest the
material and spend class time answering questions, not lecturing."
Student Comment
"I was able to continue the
class after surgery, and was able to get instruction even when I was on
travel.." |
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EnvS 541,
Sampling and Analysis of Environmental
Contaminants
Maxine's comments:
This is EnvS 541, Sampling and Analysis of Environmental Contaminants.
We're going to be looking at
some of the statistical issues related to sampling and analysis and
approaching questions such as: How do you layout a sampling plan?
What kind of organization or pattern do you use? How many data points
should you take? What are the issues related to sampling? We're also
going to be looking at questions related to doing data analysis once you
have the chemical results from those samples. How do you go about
organizing that data, and understanding that data so that you understand
the contamination that exists, and can use that information in making
remediation decisions.
By the end of the course I
think everyone will be very comfortable with basic statistical
techniques, and be able to do simple analysis. You'll also be exposed to
some of the more sophisticated techniques and know when to seek help to
use those. This is an important topic in environmental contamination
because the decisions that we make must be based on the real data that
exists. We need to get good data, and make good decisions.
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Course
Details |
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EnvS 541 Sampling and
Analysis of Environmental Contaminants (3 cr).
Monitoring system design, sampling procedures,
RCRA/CERCLA sampling, quality assurance data quality objectives.
Prereq: Chem 112, Stat 301. |
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