PLSCI 7203

PLSCI 7203

Course information provided by the Courses of Study 2022-2023.

In this course we will provide: (1) an introduction to how biological contexts--e.g., development, plant pathology, phenotyping, eco-physiology, and crop management--define opportunities and challenges for measurement and sensing technologies; (2) a technical understanding of state-of-the-art methods, with respect to both instrumentation and data analysis; (3) an introduction to emerging capabilities in areas such as nanotechnology, molecular biology, and remote sensing and their relevance to measurements in plant systems; and (4) a student-driven, instructor-guided experience in cross-disciplinary technology design, aimed at new targets for sensing and measurement in digital plant science.

When Offered Fall.

Permission Note Enrollment limited to: graduate students. Undergraduates must obtain permission of instructor.

Comments This module can be taken independently of PLSCI 7201 and PLSCI 7202.

Outcomes
  • Evaluate the advantages and limitations of sensors and measurement techniques.
  • Conceptually design novel sensors and measurement strategies based upon the case studies discussed in the course.
  • Collaborate across engineering, computer science, and plant science disciplines.

View Enrollment Information

Syllabi: none
  •   Seven Week - Second. 

  • 2 Credits Graded

  • 11984 PLSCI 7203   SEM 101

  • Instruction Mode: In Person
    Enrollment limited to graduate students. Undergraduates must obtain permission of instructor (ahr75).