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water science
I. WATERSHED AND AQUATIC
    SCIENCE FUNDAMENTALS
1: Watershed science
and society
2/3: Lake ecology
4/5: Stream ecology
II. EXPERIMENTAL
    DESIGN
6: Problem and objective formulation
III. DATA COLLECTION
7: Watershed / land use surveys
8/9: Lake surveys
10/11: Stream surveys
12: Remote sensing and Internet data sources
IV. DATA MANAGEMENT
13: Quality assurance and quality control
14: Data types, sources,
and retrieval
15: Spreadsheets and nonspatial databases
16: GIS spatial databases
V. DATA ANALYSIS, INTERPRETATION,
        AND PRESENTATION
17: Elementary statistics
18: Applications of
regression to water
quality analysis
19: GIS / spatial analysis
20: Data visualization and presentation
21: Introduction to modeling
VI. MANAGEMENT POLICY
        AND OUTREACH
22: Regulations and compliance monitoring
23: Watershed management
24: Lake restoration
25: Stream restoration
26: Community education
and involvement
27: Educating decision-makers
 
 
  Unit II Experimental Design

 

MODULE 6 PROBLEM AND OBJECTIVE FORMULATION

Research Methods & Experimental Design

• Posing the question – formulating testable hypotheses
• Understanding risk – real v. perceived water resource issues
• Introduction to principles of experimental designs

- Selecting frequency of sampling
- Pre/post; upstream/downstream reference sites

• Establishing goals
• Survey of typical lake and stream water resource issues

 

 

 

 

 

 

 

 

 

 

 

 


  


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date last updated: Monday March 29 2004