By completing a variety of Research Tools Workshops, you’ll gain familiarity with equipment, techniques, and analyses that will open up more opportunities for you as a researcher. Science research fellows are required to participate in at least three workshops before graduation. We recommend completing your workshops during the first- and sophomore years, so that you gain skills and find possible research fits. Students may attend more than three workshops and are also encouraged to participate in workshops during their junior and senior years to continue to learn more tools and techniques.
Workshops
Analyses and Techniques
Models for Your Research - Naima Shifa
Working with Qualitative Data - Naima Shifa
Equipment
Scanning Electron Microscope - Ken Brown
Chemical Characterization of Materials with X-ray Fluorescence - Ken Brown
Drone workshop - Tim Cope
Genotyping Zebrafish - Henning Schneider
Fluorescence Microscopy - Henning Schneider
Measuring Zebrafish Behavior: Acute Nicotine Response - Henning Schneider
Eye Tracker for Behavioral Research - Michael Roberts
Introduction to EEG (Electrode Cap for Neural Recording) - Rob West
Writing and Programming
Applying to NSF Graduate Research Fellowships - Hilary Eppley
Introduction to MachineLlearning (ML) - Khadija Stewart
Relevant Tenzer Technology Center Workshops/Contests - Michael Boyles
Tool-based courses
GEOS 205: Introduction to GIS
Online courses
The Science Research Fellows Program allows students to count up to two online courses towards the Research Tools requirement. If you want to use these as part of the program requirements, contact the director, Dr. Khadija Stewart, to share details about the course before you take it, and she will review for approval. As online courses are approved, the director will add them to this list so students see approved options. After completing the course, provide a certificate of completion during the same semester/summer that you took the course.
Here are a few examples:
LinkedIn Learning - »¨¼¾´«Ã½ students have free access to these online courses, which vary between a couple of hours of introduction to many hours for developing skills in more detail. For example, there are courses for learning Excel fundamentals, statistical analyses, data mining, databases, programming languages, etc.
We are not expecting you to become an expert via these kinds of online courses, but we hope they introduce you to tools that you’ll use and further build upon in your research, in classes at »¨¼¾´«Ã½, etc.
courses with relevance for research (e.g., learning statistical techniques, programming languages, etc.)
(interactive maps) - several free courses. Beginners should take and . ArcGIS online registration required.