SML Course Proposal

For summer courses, SML provides (given sufficient enrollment, usually at least 5 students):

  • daily salary rate for faculty
  • one TA (if the course has at least 10 students registered)
  • technical and administrative assistance
  • financial support for course expenses
  • partial financial support for students

Proposals should be submitted for the following calendar year (not academic year). Applications will be reviewed by the SML's Executive Director, Associate Director and Academic Coordinators. For classes that require a longer lead time, proposals may be submitted two years in advance. To apply, please e-mail the following application elements to SML (shoals.lab@unh.edu) by February 1:

  1. Your name, address, e-mail
  2. Name of proposed course
  3. Your CV
  4. Any special constraints? For example, lead time, season, year, outside funding, etc.
  5. When you want to teach the course (between May and mid August) and why.
  6. A 1-3 page substantive description of the course, including a plan or syllabus.
  7. For the benefit of people who don’t know your field, please describe why this course is important now and why it should be offered at SML rather than in a campus-based setting.
  8. How does your teaching experience relate to this course proposal?
  9. What is the class size? (15 students? 20?)
  10. How will the course use SML facilities in the following categories?
  • Organisms
  • Wet labs
  • Research Vessel
  • Dock/boats
  • SCUBA
  • Other

SML will be looking for indications that the proposed course is fundamental and important to the education of students who are likely to become professional leaders in marine science nationally. Also, truly innovative courses, i.e., those likely to put together people and ideas that yield fresh thinking and understanding across disciplines, are eagerly sought out. Because of the demand for SML facilities, preference is given to courses that are field based, active, include independent research, and ESPECIALLY use the unique location of SML to its advantage.