OCEAN 497 B
FALL 2009
SLN 19749

 

Instructor Information

Daniel Grünbaum
Associate Professor, Biological Oceanography
Email: ocean497@uw.edu or random@uw.edu
Office: 318 Marine Sciences Building
Phone: 206 221 6594


Meeting place and times

Thursdays 2:30-3:50: Ocean Sciences Building 111 (Spatial Dynamics Laboratory)
Tuesdays 2:30-3:50: Ocean Sciences Building 425
Office hours (tentative): T-Th 3:00-4:00 & By Appointment


Course Philosophy

My goal for this course is help you learn how to think about how oceanographic processes function, and how their function changes over time and across space. Most courses I have taught (as well as those I took as a student) operated on a lecture model: the instructor stood at the front of the class presenting facts. It was for the most part left to the student to develop ways of internalizing those facts, integrating them with other related facts, and drawing general conclusions about patterns and contrasts in those facts -- in short, to synthesize the facts into an expertise.

A lecture-based course structure is a very effective way of presenting a large number of facts in a relatively short time. However, a real understanding of those facts often came to those students much later, if it came at all. Without the understanding, the facts themselves were probably forgotten in a relatively short time after the course was done.

This course focuses specifically on developing and exercising a synthetic view of oceanographic systems and their dynamics. The basic approach used in this course is a sequence: student observation, followed by analysis and synthesis, followed by verbal and written articulation of the analytical logic and the resulting patterns and contrasts.

How can we observe oceanographic dynamics in a classroom? One potent tool we have is computer-based oceanographic modeling. Computer models are a convenient method for deducing the implications about hypotheses we make about how ocean systems functions. They allow us to say, If characteristic A is affected by mechanism B, then the likely outcome would be C. They give us rapid feedback, so we can develop an intuition for how ocean dynamics could work. We can then employ this intuition on real systems to see whether it does or does not explain features of those systems.

Modeling on a computer does not replace going out and observing nature. However, it provides a basis for understanding observations of nature, which are otherwise too complicated and too variable to be understood. This course is in large part aimed at understanding how model studies can make interpretations of past observations and acquisition of future observations more effective and insightful.


Course Structure (tentative)

This course is structured as a series of five units, each of which revolves around a key mechanism; the important consequences of that mechanism for ocean dynamics; and a model that links the mechanism to its consequences. The units are:

Classroom Activities

For each unit, a typical set of in-class activities:

Computer 1 ⇒ Discussion 1 ⇒ Computer or Wet Lab 2 ⇒ Discussion 2

Readings

Each week, you will read one or two short papers (e.g. from Science or Nature) that describe recent advances concerning an oceanographic issue related to the week's Lab. You should read this paper before the week's Discussion and if possible before the Lab. It is to your advantage to have at least one oceanographic application in mind when you perform your modeling Mini-Study. After your Mini-Study, you should be prepared to shift focus back to the natural world in Discussion, exploring aspects of the paper's ocean dynamics that were or were not illuminated by your results.

Out-of-class Writing

As preparation for the second discussion in each unit, you will prepare a short Essay, in which you articulate for each of the Key Questions your mini-study addressed: what were the goals, analytical approaches, results and conclusions. Please submit your Essays online. Like the Discussion itself, this Essay is intended both to refine and strengthen your analysis, and to communicate your ideas to your colleagues.

Grading (tentative)

The grading scheme for the course will be as follows (see comments below):

Course Component Percent grade
(each)
Number Percent Grade (after
dropping lowest scores)
Participation 10 5 40
Key Questions 5 5 20
Short Essays 10 5 40
Total 100

Comments: