Person

Andrew Griffith

Professor | Agricultural and Resource Economics

Specialization: Livestock Economics

Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).
ESS 250 - Foundations of Artificial Intelligence for Agriculture and Natural Resources
3 credit hour(s)

This is an introductory foundation course on AI for all majors with a strong interest in science. It covers basic AI concepts, history, applications, and ethical implications, the core concepts of machine learning, basic algorithms, neural networks, and statistical concepts, and will include very rudimentary computing in Python. It will end with simple case studies of applications in agriculture and natural sciences. The course assumes no previous knowledge beyond basic math and science.

ESS 494 - Special Topics in Environmental and Soil Sciences
1 - 3 credit hours

Varying topics and formats addressing current issues in the Environmental and Soil Sciences.

Repeatability: May be repeated. Maximum 3 hours.

ESS 593 - Special Problems in Environmental and Soil Science
1 - 3 credit hours

Repeatability: May be repeated. Maximum 6 hours.

Other Instructors: Schaeffer, Sean Michael

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102 MTREC
1000 Main Entrance Drive
Spring Hill, TN 37174
Education and Training
  • Doctorate, Agricultural Business and Management, Oklahoma State University, 2012
  • MS, Agricultural Business and Management, Univ of Tennessee Knoxville, 2009
  • BS, Agriculture, Tennessee Tech University, 2007
Responsible Area(s)
  • Agriculture and Natural Resources

Andrew Griffith

Professor | Agricultural and Resource Economics
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102 MTREC
1000 Main Entrance Drive
Spring Hill, TN 37174
Education and Training
  • Doctorate, Agricultural Business and Management, Oklahoma State University, 2012
  • MS, Agricultural Business and Management, Univ of Tennessee Knoxville, 2009
  • BS, Agriculture, Tennessee Tech University, 2007
Responsible Area(s)
  • Agriculture and Natural Resources
Courses
Below are courses taught during the current or past three academic years. Consult Timetable for the most current listing of courses and instructor(s).
ESS 250 - Foundations of Artificial Intelligence for Agriculture and Natural Resources
3 credit hour(s)

This is an introductory foundation course on AI for all majors with a strong interest in science. It covers basic AI concepts, history, applications, and ethical implications, the core concepts of machine learning, basic algorithms, neural networks, and statistical concepts, and will include very rudimentary computing in Python. It will end with simple case studies of applications in agriculture and natural sciences. The course assumes no previous knowledge beyond basic math and science.

ESS 494 - Special Topics in Environmental and Soil Sciences
1 - 3 credit hours

Varying topics and formats addressing current issues in the Environmental and Soil Sciences.

Repeatability: May be repeated. Maximum 3 hours.

ESS 593 - Special Problems in Environmental and Soil Science
1 - 3 credit hours

Repeatability: May be repeated. Maximum 6 hours.

Other Instructors: Schaeffer, Sean Michael