- Home
- Tags
Tags
-
abc,
-
Argonne National Laboratory
-
Artificial Intelligence
Artificial intelligence (AI) is the intelligence of machines or software, as opposed to the intelligence of humans or animals. It is also the field of study in computer science that develops and studies intelligent machines. "AI" may also refer to the machines themselves. [Wikipedia]
M.S. in Data Science -
Atmospheric Dynamics
Atmospheric dynamics deals with motion in the atmosphere and its thermodynamic state. Our research on this subject aims to improve the mathematical equations, numerical methods, and the dynamical core of the forecast model, as well as technical aspects such as implementation on high-performance computers. [Wikipedia]
-
Automata Simulator
-
Bayesian Inference
Statistical method to analyze data and find posterior probability distribution of model parameters. Click here for more information. -
Bioinformatics
-
Biological Sciences
The study of systems of living beings and their interactions with the environments today and in the past.
-
Biomedical Cheminformatics
-
Biomedical Sciences
Biomedical sciences is the study and research of health-related issues to understand how humans function, and the application of that knowledge to improve health and to prevent and cure diseases. -
Career Days
To add a career day posting, please contact the webmaster. Tag articles with the keyword Career Days to show up in this list.
-
Careers
-
Catalytic conversion
-
CCD
Chemical Composition Distribution -
ccSN
core collapse supernovae -
Cloud Microphysics
-
Cold Plasmas
-
Colloquium
Click Here to Subscribe to the Seminar (Colloquium) Announcement List.
Scientific Computing Colloquium Wednesdays at 3:30 P.M. following Afternoon Tea 499 Dirac Science Library
-
Complex Fluids
-
Compneuro
-
Compressed Sensing
Compressed sensing (also known as compressive sensing, compressive sampling, or sparse sampling) is a signal processing technique for efficiently acquiring and reconstructing a signal, by finding solutions to underdetermined linear systems. [Compressed sensing From Wikipedia]
-
Computational Astrophysics
-
Computational Epidemiology
Computational epidemiology is a multidisciplinary field that uses techniques from computer science, mathematics, geographic information science and public health to better understand issues central to epidemiology such as the spread of diseases or the effectiveness of a public health intervention. [Computational Epidemiology From Wikipedia]
-
Computational Fluid Dynamics
-
Computational Genomics
Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data,[1] including both DNA and RNA sequence as well as other "post-genomic" data (i.e., experimental data obtained with technologies that require the genome sequence, such as genomic DNA microarrays). [Computational Genomics From Wikipedia]
-
Computational Materials Science
The Materials Science group at the Department of Scientific Computing uses state-of-the-art computational methods and high-performance computing techniques to study the structure and properties of materials. -
Computational Neuroscience
-
Computational Science
-
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]
-
Data Mining
-
Data Science
-
Data Storage
-
Deep Learning
Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. [Deep learning From Wikipedia]
-
Defenses
To add a defense posting, please email the webmaster. Tag articles with the keyword Defenses to show up in this list.
-
dsc-ad
-
Epidemic Networks
-
Events
-
Evolutionary Biology
-
Evolutionary Genetics
-
Expositions
To add a exposition posting, please contact the webmaster. Tag articles with the keyword Expositions to show up in this list.
-
Fairs
To add a fair posting, please contact the webmaster. Tag articles with the keyword Fairs to show up in this list.
-
Fall
Fall Newsletters -
Fall 2024
-
Fall Courses
-
Fall2024
-
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
-
Groundwater Modeling
-
Harmonic Analysis
Harmonic analysis is a branch of mathematics concerned with the representation of functions or signals as the superposition of basic waves, and the study of and generalization of the notions of Fourier series and Fourier transforms (i.e. an extended form of Fourier analysis). In the past two centuries, it has become a vast subject with applications in areas as diverse as number theory, representation theory, signal processing, quantum mechanics, tidal analysis and neuroscience. [Harmonic analysis From Wikipedia]
-
High-performance Computing
-
Honors
Honors in the Major Program course
-
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
-
Kremer-Grest Polymer Model
-
Lawrence Livermore National Laboratory
-
Lennard-Jones potential
-
Machine Learning
Research in the Computational Intelligence Laboratory addresses different aspects of networks in the human brain and in artificial systems.
-
Mathematical and Systems Biology
-
Mathematical modeling
-
Mathematical optimization
Mathematical optimization (alternatively spelled optimisation) or mathematical programming is the selection of a best element, with regard to some criterion, from some set of available alternatives. [Mathematical optimization From Wikipedia]
-
Mathematics
-
Mathematics and Computer Science
-
Medical Image Processing
-
Methods of model reduction
-
Mining Proteomic and Metabolic Data
-
Mitochondrial
-
Mitochondrial DNA
-
Model selection
A comparison of different models and evaluation which model has higher probability. -
Modeling for Biological and Materials Applications
-
Monte Carlo methods
-
Morphometrics
morphlab.sc.fsu.eduThe field of morphometrics is concerned with the analysis of shape and form (shape+size). Shape is defined as the set of geometric properties of an object that are invariant to position, orientation, and scale (1). Often scale is sequestered in a separate variable and reincorporated into an analysis to examine the totality of variation in a population of specimens of interest or associations of shape variability with size (allometry).
-
Multilevel methods
-
National Center for Atmospheric Research
NCAR
-
Navier Stokes
-
Newsletter
-
Numerical Analysis
Numerical analysis is the study of algorithms that use numerical approximation (as opposed to symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). [Numerical Analysis From Wikipedia]
-
Numerical Methods in Fire Dynamics Modeling
-
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
-
Photo Gallery
Please enjoy the following photo galleries.
Want more photos, then check out all of our facebook albums here
-
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.
-
Post Docs
-
Reduced order modeling
-
Rheology
-
ROM
Reduced Order Modeling
-
Sandia National Laboratories
-
SASI
standing accretion shock instability -
Scientific Computing
sc.fsu.eduComputational science involves the invention, implementation, testing, and application of algorithms and software used to solve large-scale scientific and engineering problems.
-
Scientific Visualization
-
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.
-
Spring
Spring Newsletters -
Spring Courses
-
Summer
Summer Newsletters -
Summer Courses
-
Supported Applications
The following software applications are supported by the department's technical support group. Support for any additional applications needs to be approved by the Technology Committee.
-
Supported Libraries & Compilers
The following libraries and compilers are supported by the department's technical support group. Support for any libraries and compilers needs to be approved by the Technology Committee.
-
Supported Submission Tools
The following submission tools are supported by the department's technical support group. Support for any additional submission tools needs to be approved by the Technology Committee.
-
SVM
Support Vector Machine
-
ug_collateral
Collateral Courses -
ug_core_seminar
Core Courses and Seminar Classes -
ug_elective
Elective Courses -
Uncertainty Quantification
Uncertainty quantification (UQ) is the science of quantitative characterization and reduction of uncertainties in both computational and real world applications. [Uncertainty quantification From Wikipedia]
-
VPN
-
Web Design
-
Wildland Fire Dynamics
-
Workshops
To add a workshop posting, please contact the webmaster. Tag articles with the keyword Workshops to show up in this list.
Tags
Florida State University
400 Dirac Science Library
Tallahassee, FL 32306-4120
admin@sc.fsu.edu