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Course Syllabus

NR 1020 Field Inventory and Sampling Techniques

  • Division: Natural Science and Math
  • Department: Natural Resources
  • Credit/Time Requirement: Credit: 3; Lecture: 2; Lab: 3
  • Prerequisites: None
  • Corequisites: None
  • Semesters Offered: Spring
  • Semester Approved: Fall 2022
  • Five-Year Review Semester: Fall 2027
  • End Semester: Summer 2028
  • Optimum Class Size: 20
  • Maximum Class Size: 30

Course Description

This course will teach the correct methods of field inventory and sampling techniques within air, water, vegetation and wildlife management through lectures and hands-on field laboratory exercises. Students will learn practical skills and common practices for collecting and assessing data relative to conservation and management. Students will also learn basic data analysis techniques and interpret the data to make basic management decisions. This course was formerly known as Environmental Sampling and Analysis.

Justification

This course will introduce students to essential techniques and analysis methods that a person working in a natural resource field should be familiar with. The course will also allow students to work directly in the field, getting hands-on experience in those methods.

Student Learning Outcomes

  1. Students will demonstrate the ability to obtain and analyze samples of water and air using correct procedures.
  2. Students will demonstrate the ability to perform inventories and monitoring of vegetation and wildlife using common techniques.
  3. Students will be able to perform analysis of acquired data and record and present results in the required format.
  4. Students will make deductions from their analysis concerning environmental conditions.

Course Content

This course will include:• Understanding and practice of air and water testing and analysis• Understanding and practice of vegetation and wildlife inventory and monitoring• Proper recording and reporting of data• Analysis and use of data to make decisionsThe course uses examples and protocols from a variety of areas and demographics that are common in major natural resource fields.