• Computer Vision

  • Computing

  • Courses

    Course catalogs
  • Data Assimilation

    Data assimilation is a mathematical discipline that seeks to optimally combine theory (usually in the form of a numerical model) with observations. There may be a number of different goals sought – for example, to determine the optimal state estimate of a system, to determine initial conditions for a numerical forecast model, to interpolate sparse observation data using (e.g. physical) knowledge of the system being observed, to set numerical parameters based on training a model from observed data. Depending on the goal, different solution methods may be used. Data assimilation is distinguished from other forms of machine learning, image analysis, and statistical methods in that it utilizes a dynamical model of the system being analyzed. [Wikipedia]

  • Genomics

  • Geophysical Fluid Dynamics

  • Geosciences

    Geosciences is an all-embracing term for the sciences related to the planet Earth. It is arguably a special case in planetary science, the Earth being the only known life-bearing planet. There are both reductionist and holistic approaches to Earth sciences. The formal discipline of Earth sciences may include the study of the atmosphere, oceans and biosphere, as well as the solid earth.
  • GIS

    Geographic information systems
  • Human-Computer interfaces

  • Internships

  • Inverse problem

    An inverse problem in science is the process of calculating from a set of observations the causal factors that produced them: for example, calculating an image in X-ray computed tomography, source reconstruction in acoustics, or calculating the density of the Earth from measurements of its gravity field. It is called an inverse problem because it starts with the effects and then calculates the causes. It is the inverse of a forward problem, which starts with the causes and then calculates the effects. [Inverse problem From Wikipedia]

  • isc4971

  • Numerical Weather Prediction

    Numerical weather prediction (NWP) uses mathematical models of the atmosphere and oceans to predict the weather based on current weather conditions. Though first attempted in the 1920s, it was not until the advent of computer simulation in the 1950s that numerical weather predictions produced realistic results. A number of global and regional forecast models are run in different countries worldwide, using current weather observations relayed from radiosondes, weather satellites and other observing systems as inputs. [Wikipedia]

  • PDE

    partial differential equation
  • Peridynamics

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  • Phylogenetics

    The evaluation of the relationship of different biological species.
  • Physical Sciences

    The Department of Scientific Computing's Physical Sciences group uses high-performance computers and algorithms to study a variety of phenomena, that are relevant to different sub-fields of physical sciences including engineering, astrophysics, materials science etc.
  • Polymer Physics

  • Population Genetics

    Mathematical modeling of biological systems, in particular aggregations of individuals and their evolution using genetic information. Click here for more information.
  • Seminars

    To add a seminar posting, please contact the webmaster. Tag articles with the keyword Seminars to show up in this list.

  • Short Courses

    To add a Short Course posting, please contact the webmaster. Tag articles with the keyword Events/Short-Courses to show up in this list.

  • Social Networks

  • Software

    The following software categories are supported by the department's technical support group. Support for any additional applications needs to be approved by the Technology Committee.

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Scientific Computing