I'm a member of the faculty of the School of Oceanography where I serve as the director of the Spatial Analysis Lab. My research and teaching activities are focus on spatial pattern analysis in ecosystem sciences and the applications of Geographic Information Science (GIS) and Remote Sensing in ecosystem models.
I joined the faculty of the School of Oceanography at the University of Washington in 1997 after ten years experience in state government and completion of my Ph.D. studies in Environmental Planning. I teach both the undergraduate and graduate level course in the application of Geographic Information System (GIS), remote sensing, and applied geostatistcs in the study of ecosystem dynamics. Additionally, I teach courses in seafloor surveying and pattern analysis in seafloor data. My academic background includes degrees in Forest Management, Physical Geography, Landscape Architecture, and Regional Planning and my research interests center on the analysis of the spatial pattern found in natural processes within our coastal environments.
Wednesday, February 12, 2014
The Ocean Technology course sequence is a series of three class that share two different design/build “events”: (1) the spring quarter individual sensor design and build, and the (2) winter quarter collaborative project design and build. Each of these events combines an intense short course with a design and build studio to create a guided experiential learning environment. As technology changes and the student built sensor network grows, the content presented in these short course will also change. This format allows students new to the ocean technology field to participate only the short course experience (An Introduction to Ocean Technology) gaining exposer to the field, and then later to participate in a second short course which leads directly to a design and build experience (Ocean_Tech I, II, and III).
Spring Quarter Design/Build (Intro to Ocean Technology, Ocean 261 & Ocean 361):
The Spring Quarter Ocean Technology Design/Build studio is a coordinated event between three “active learning” courses, each targeted at students at different stages in our undergraduate program. The “Intro” course (Ocean 261) is designed for lower division undergraduates requiring attendance at our short course and weekend field trials. Ocean 361 is targeted at our undergraduate sophomores or juniors that in addition to the short course continue into the individual sensor design and build activities. These to course may be take concurrently in the same quarter. Ocean_Tech III (Ocean 461, see below) provides our seniors (those already having completed earlier courses in the sequence, the applied skill in project management and leadership by acting as “student teachers” (mentors) for the Ocean 261/361 series
Winter Quarter Team Build ( Ocean 362)
The winter quarter Ocean Technology course is a collaborative “group build” studio. In this course all students work collaborative on a single element of the underwater sensor observatory. The faculty mentors decide ahead of time what that year’s “Team Build” will be and what outside expertise, equipment, and funds, can be organized in advance of the class. The educational content of the short course related to this course therefore changes each year as the design challenge changes.
Spring Quarter for Advanced Students (Ocean 461)
As noted above, the final course in the Ocean Technology sequence is intended for our senior (or advanced) Ocean Technology students where they learn project management skills by participating as student mentors with the newer students during their first design/build course. These students will attend their own short course which will focus on time management, logistics, budgeting, and leadership skills. The emphasis here is on critical path planning, logistics, material lists, time management, and budgeting.
The ERIS (Exploration and Remote Instrumentation by Students) cabled observatory will be a student designed and built underwater learning facility at the University of Washington. This is a "hands-on" style course for variable credit which focuses on the technological challenges and potential solutions for this facility. ERIS and its educational mission will enable undergraduate students to design, build, operate, and maintain a cabled underwater observatory providing for a continuous data-stream for analysis, interpretation, and communication by students. From inspiration through implementation, this program will be focused on the creation and operation of an underwater science sensor network that physically is located off the dock of the School of Oceanography at University of Washington Seattle campus.
Ocean Technology is recognized as a multidisciplinary field that combines ocean science with the classical engineering disciplines and advances in computer science. The goal of this class is to prepare students for a New Era of study in Oceanography.
Follow the progress at: http://uwerisobservatory.wordpress.com/
For more information contact, Miles Logsdon (firstname.lastname@example.org)
Thursday, September 22, 2011
The Spatial Information Technologies of GPS (Global Positioning Systems), GIS (Geographic Information Systems) and Remote Sensing have made major advances in both the theoretical and applied basis for studies in the earth sciences. These technologies have become key components of interdisciplinary research and resources management practice. This course is designed to introduce the use of GPS, GIS and Remote Sensing in the ecosystem sciences.
In this course each student will participate in the collection of georeferenced field measurements and observations (GPS), importing those spatial data into a GIS, classifying the landscape over the spatial extent of those data from remotely sensed imagery, and analyzing their spatial variability. This course offers students an introduction to both terrestrial and marine spatial data acquisition, representation, and analysis in Geographic Information Systems.
This applied course is intended to integrate these technologies in an applied setting, and to motivate students to incorporate these tools and techniques in their future work. This course emphasizes sampling and analysis of spatially-referenced data about the coastal and marine environments, integrating these technologies in an applied research setting. Offered: jointly with FISH 452; A.
Class Web Site: https://catalyst.uw.edu/workspace/mlog/1523/