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Forest Measurements and Sampling

Analytical Thinking

Course Description

Students will collect and analyze field data, design samples, and conduct statistical analysis. Students will navigate in field environments using maps. Field data will be analyzed using spreadsheets and other software. Students will develop professional skills, including written and oral communication, and the ability to work effectively in teams.

Additional Requirements for Graduate Students:
In addition to completing all of the undergraduate components of the course, graduate students will complete a course project that culminates in a presentation to the class illustrating how course topics are applied in their field of study.

Athena Title

Forest Measurements & Sampling

Equivalent Courses

Not open to students with credit in FANR 3000

Prerequisite

Permission of major

Undergraduate Pre or Corequisite

STAT 2000 or STAT 2000E or STAT 2100H or BIOS 2010 or BIOS 2010E or FANR 2010-2010L or BUSN 3000 or BUSN 3000E or BUSN 3000H or UNIV 1108

Corequisite

FORS 4050L/6050L

Semester Course Offered

Offered spring

Grading System

A - F (Traditional)

Student Learning Outcomes

  • By the end of this course, students will be able to design samples to achieve a desired level of precision.
  • By the end of this course, students will be able to analyze data using basic statistical techniques.
  • By the end of this course, students will be able to communicate in a manner that is clear, concise, and consistent with professional expectations.

Topical Outline

  • Land measurements: Distance, direction, slope, area, and error
  • Data types, description, communication
  • Maps
  • Land description
  • GPS and GIS
  • Tree measurements
  • Site quality
  • Stand density
  • Timber volume and value estimation
  • Measures of central tendency, dispersion, and shape
  • Sampling distributions
  • Confidence intervals
  • Sample size calculation
  • Population totals
  • Proportions
  • Correlation
  • Regression
  • Significance testing
  • Random sampling
  • Systematic sampling
  • Plot sampling
  • Strip sampling
  • Point sampling

Institutional Competencies

Analytical Thinking

The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.


Syllabus

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