This course is intended for PhD students who are engaged in relevant scholarly activities that are associated with dissertation research.
A candidate for the doctorate in biomedical engineering or applied biology may be required to register for this course in every term after the students course work has been completed and until the dissertation has been accepted.
A candidate for the doctorate may be required to register for this course every term after the students coursework has been completed and until the dissertation has been accepted.
The course is intended for PhD students who are engaged in relevant scholarly activities that are not associated with the required course sequence. Such activities must accrue more than 20 hours/week.
Provides students the opportunity to present draft dissertation proposals and draft dissertation chapters.
Prerequisites: the instructors permission. Guided individual research.
This course is designed to provide the tools for the doctorally prepared nurse to evaluate, translate and integrate published research results into clinical practice. During the course, students will learn how to conceptualize clinical practice problems and transform them into answerable clinical research questions, how to search for the best clinical evidence, and how to assess clinical evidence using basic epidemiological, biostatistical and scientific principles. The course will culminate in a systematic review or meta-analysis of a body of research relevant to advanced practice nursing.
This seminar will cover the fundamentals of the theory of ice-sheet dynamics. While the focus will be on viscous ice-sheet flow, we will cover heat flow, basal sliding, hydrology more briefly later in the semester. We will start from first-principles and introduce all the key concepts needed to build an ice flow model, including stress, strain, rheology, vector calculus, tensors, stress balance, mass conservation. We will use these concepts to derive the simplest possible ice flow models (e.g., assuming perfectly plastic rheology, the shallow ice approximation) and build in complexity from there. We will use these models to build intuition for the first-order dynamics of ice sheets, by examining them analytically and numerically where appropriate. We will use a similar approach for the other topics later in the semester. As well as a better understanding of ice-sheet dynamics, our aim will be to introduce students to mathematical modelling, demonstrating the overall approach, key concepts will nondimensionalization, and the power of simple models for understanding how natural systems work. We will also aim to build proper intuition for what partial differential equations and solutions to them really are. Many of these topics could be useful in areas outside glaciology and anyone interested is encouraged to join us.