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School of Agriculture and Natural Resources

Dean: Christopher L. Nyberg
Phone: (315) 684-6083

Agricultural Science, Business, and Dairy Department

Courses - Ag Science

Courses - Ag Science

Note: Not all courses may be available. Always talk to your advisor before planning your schedule.

  • AGSC 101 - Agricultural Science
  • AGSC 102 - Botany I
  • AGSC 103 - Botany II
  • AGSC 104 - Plant Pathology
  • AGSC 105 - Entomology
  • AGSC 106 - Pesticide Use and Handling
  • AGSC 107 - Integrated Pest Management
  • AGSC 120 - Domestic Animal Behavior
    This course is designed to provide the student with an introduction to, and a general understanding of domestic animal behavior. The evolutionary aspects of behavior, learning theory, normal and abnormal behaviors will be studied. Material will be presented concerning dogs, cats, sheep, goats, hogs, cattle and horses with an emphasis on cattle and horses. 3 credits (3 lecture hours), spring semester
  • AGSC 130 - Computer Precision Farm I
  • AGSC 132 - Computer App Precision Farming
    Application of computer software in agricultural business, crop production, and dairy management as it relates to precision farming including: GPS, GIS, fertilizer recommendation, dairy ration software, dairy genetic software, and farm management software. 2 credits, fall semester This course satisfies the Liberal Arts and Sciences requirement and the SUNY General Education Requirement for Natural Science.
  • AGSC 135 - Computers in Ag Research
    Application of computer software in agricultural research including: statistical packages which include ANOVA, Duncan Multiple range test, correlation, etc. 1 credit, spring semester
  • AGSC 137 - Agricultural Statistics
    Involves the application of procedures and techniques for collecting, analyzing, and interpreting agricultural data. The course encompasses an introduction to statistical methods using examples and applications to which students can easily relate. The course also focuses on teaching students basic statistical analysis using the MS Excel spreadsheet program and other pertinent computer tools. Students enrolled in AGSC 137, which is part of the laptop curriculum, will be introduced to these important concepts through lectures and exercises that they may complete on their laptops. Emphasis will be placed on providing the student with problem-solving skills and the ability to interpret the results of basic agricultural statistical analysis. Following a brief introduction to statistics and statistical inference, students enrolled in AGSC 137 are introduced to common measures of central tendency and dispersion used in summarizing agricultural data followed by an introduction to the main concepts of probability and probability distributions and their potential applications in agricultural sciences. Additional topics to be covered include random sampling, confidence intervals, hypothesis testing, correlation analysis, and linear regression (simple and multiple). Prerequisite: MAGN 101 or equivalent 3 credits (3 lecture hours), spring semester
  • AGSC 140 - Computer Precision Farm II
    The student will pursue research projects in the area of GPS, GIS and other precision farming-related areas and then make presentations using PowerPoint. Prerequisite: AGSC 132 & 135 or consent of instructors 1 credit, spring semester
  • AGSC 145 - Computers in Ag Research II
    The student will pursue projects in the areas of basic and applied research and then make presentations on the project using PowerPoint. Prerequisite: AGSC 130 & 135 or consent of instructors 1 credit, fall semester
  • AGSC 246 - Internship Agricultural Sci
    This internship involves students working in an approved job in agriculture. A journal, written report, and employer and faculty evaluation are required upon completion of the internship. 4 credits (12 weeks, 480 hours minimum), fall semester
  • AGSC 350 - Animal Genetics
    This course provides an application of the principles of genetic selection for the improvement of dairy cattle and horses. The basic concepts of inheritance from both mathematical and biological perspectives are emphasized. Progeny and performance testing programs, pedigree analysis, mating systems and their application to selection and production of genetically superior animals are discussed. Prerequisites: DAS 100 or ESCI 305 and DANS 120 or ESCI 110 with a C or better (prerequisite or co-requisite) 3 credits (3 lecture hours), spring semester for equine or fall semester for dairy students, alternate years, even years