Loading...

Description

The AIS Detectors Core Course is an introduction to aquatic invasive species (AIS) science, identification, and surveillance. You will learn how to report invasive species, best practices for preventing the spread of AIS, relevant rules and regulations, and how to search for AIS on your own.

This course consists of two portions: an online course and a workshop. The self-paced online course takes approximately 8 hours to complete, followed by one in-person workshop or two virtual workshops. The online course will open on Monday, April 1st, 2022.

You will select which workshop(s) you will be attending during registration. The workshop options are:

  • New Brighton - April 29th; 9 a.m. - 5 p.m.
  • Alexandria - May 13th; 9 a.m. - 5 p.m.
  • Virtual Workshop 1: Tuesday, May 24th and Wednesday, May 25th; 1 - 4 p.m.
  • Virtual Workshop 2: Wednesday, May 25th and Thursday, May 26th; 9 a.m. - 12 p.m.

The self-paced online content must be completed prior to the start of your workshops. You must complete both the online course and the workshop in order to receive credit for the course and become certified as an AIS Detector.

The course has two tracks: Community Member and Professional. The Community Member track is for those who are planning to volunteer as AIS Detectors and who are not conducting AIS activities professionally. The Professional track is for those who do not plan to volunteer and are instead looking to increase their knowledge base for work-related activities. Please select the appropriate track when you register, as they involve some differences in course content.

Your registration fee includes unlimited access to the online course, access to the workshop(s) of your choosing, course materials that will be mailed to you, a copy of the new edition of our AIS identification field guide, and networking opportunities with other AIS Detectors and experts. If the registration fee presents a barrier to your ability to participate in the AIS Detectors Core Course as a Community Member, please visit our scholarship page to learn more about scholarship opportunities.

To learn more about the program and review FAQs visit https://maisrc.umn.edu/detectors-core.

To register for the course, click a green "Available" button on the right side of your screen to expand the section details. Verify that you are viewing the section with the workshop dates and track (Community Member or Professional) that you are interested in. Only the first date of the virtual workshop session pair appears in the tan box. Please confirm both dates for the virtual workshop sessions once you expand that section to view additional details. Then, click the "Add to Cart" button to register for that combination of track and live workshop dates.

You will need a tablet, laptop or desktop computer, or smart phone with a good internet connection to access all course materials. The experience will be best on a larger screen, so a laptop or desktop computer are strongly recommended. You will need to have a working microphone and camera to connect to the virtual workshops. Technical skills required for this course include: ability to access Zoom (including breakout rooms), ability to create a University guest account and access Canvas online course, ability to mute and unmute yourself in Zoom meetings, ability to watch videos, and ability to open and view multiple windows simultaneously. We will offer a Tech Check before workshops begin to make sure that you are ready to learn on the day of your first virtual workshop.

Course Contact

Megan Weber, 763-767-3874, mmweber@umn.edu

Registration questions

Extension Registration, ext-reg@umn.edu

If you experience difficulties logging in

Contact the University of Minnesota IT Help Line at 612-301-4357. Please mention you are using a guest account.

 

Loading...
Thank you for your interest in this course. Unfortunately, the course you have selected is currently not open for enrollment. Please complete a Course Inquiry so that we may promptly notify you when enrollment opens.
Required fields are indicated by .