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  1. New Hire Announcement – Welcome, Tyler Carr!

    https://hcs.osu.edu/news/welcome-tyler-carr

    Sprigs. Prior to pursuing his Ph.D., Tyler received his M.S. (Thesis:  Determining Water Use in Various ...

  2. Introduction to Experimental Design

    https://hcs.osu.edu/courses/hcs-5887

    analysis software, and data interpretation. Prereq: 2260 or Stat 1450, or equiv; or Grad standing. Graduate ...

  3. Genome Analytics

    https://hcs.osu.edu/courses/hcs-7004

    approach for graduate students to learn the basic pipelines for analysis of genomic sequences, focusing on ...

  4. Sustainable Agriculture Practical Experience

    https://hcs.osu.edu/courses/hcs-2307

    associated with small-scale sustainable agriculture and farm enterprises. Topics will include soil ...

  5. Environmental Impacts of Crop-Livestock Systems

    https://hcs.osu.edu/courses/hcs-5420

    greenhouse gas emissions, nutrient losses (volatilization and leaching), and soil degradation. This course is ...

  6. OSU Viticulture Program Wins Two National Awards for Best Extension Materials

    https://hcs.osu.edu/news/viticulture-program-wins-two-national-awards

    Methods Video on Grapevine Nutrient Management: Petiole Sampling & Analysis     Still thirsty for more ...

  7. Keyvan Maleki

    https://hcs.osu.edu/our-people/keyvan-maleki

    analysis techniques.- Any- Journal article Book/book chapter Report Working paper Policy brief Presentation ...

  8. Grapevine Nutrient Management: Petiole Sampling and Analysis

    https://hcs.osu.edu/about-us/multimedia/grapevine-nutrient-management-petiole-sampling-and-analysis

    ...

  9. PGM Advanced Teaching and Swing Analysis

    https://hcs.osu.edu/courses/hcs-4503

    analysis of the golf swing, and philosophy of teaching. Prereq: 2250, 3501, and 3502. Undergraduate 2.0 ...

  10. Data Analysis and Interpretation for Decision Making

    https://hcs.osu.edu/courses/hcs-2260

    HCS 2260 Basic concepts of probability and statistics applied to the interpretation of quantitative data. Prereq: Math1130 or higher. Not open to students with credit for AEDEcon 2005, AnimSc 2260, ComLdr 3537, ENR 2000, or Stat 1450. GE data anly course. ...

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