sciviscourse/_data/schedule.yml at master · ComputingElevatedLab/sciviscourse · GitHub

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- name: Class introduction
  date: Monday, Jan 6
  description: Course logistics, overview of scientific visualization techniques.
  image: ../images/schedule/introscivis.jpg

- name: The visualization pipeline (chapter 4)
  date: Wednesday, Jan 8
  description: The visualization pipeline.
  image: ../images/schedule/datamodel.jpg

- name: The scientific data model (chapter 3)
  date: Monday, Jan 13
  description: Data types, meshes, and data structures.
  image: ../images/schedule/plotting.jpg

- name: Plotting data
  date: Wednesday, Jan 15
  description: "Tufte's principles, data tables, examples of plot types. Typical matplotlib program structure, displaying multiple plots, bar charts, pie charts, histograms, and scatter plots."
  image: ../images/schedule/matplotlib.jpg

- name: Martin Luther King Jr. Day Holiday
  date: Monday, Jan 20
  description: No class.
  dayoff: true

- name: Introduction to ParaView and VTK.
  date: Wednesday, Jan 22
  image: ../images/schedule/paraview.jpg

- name: Visualization of 2D scalar fields
  date: Monday, Jan 27
  description: 1D/2D/3D scalar fields, color mapping, transfer functions, interpolation (linear and bilinear) , and 2D isocontour ambiguities.
  image: ../images/schedule/scalarfield.jpg

- name: Introduction to OpenViSUS.
  date: Wednesday, Jan 29
  image: ../images/schedule/visus.jpg
  description: Multi-resolution data formats, data streaming model, interactive analysis and visualization of large scientific data. <br/><a href="https://mybinder.org/v2/gh/spetruzza/sciviscourse/master?filepath=jupyter%2FOpenVisus-Tutorial.ipynb">[Live tutorial]</a><br/><a href="https://mybinder.org/v2/gh/spetruzza/sciviscourse/master?filepath=jupyter%2Fhomeworks">[Jupyter Template]</a>

- name: No class
  date: Monday, Feb 3
  description: No class, due to weather conditions
  dayoff: true

- name: Visualization of 3D scalar fields (1-2)
  date: Wednesday, Feb 5
  description: Computation of isosurfaces, the marchine cube algorithm, trilinear interpolation, resolution of ambiguities.
  image: ../images/schedule/isosurf.jpg

- name: Visualization of 3D scalar fields (3)
  date: Monday, Feb 10
  description: Advanced surface visualization, scalability, acceleration data structures, view dependent data reduction.
  image: ../images/schedule/kdtree.jpg

- name: First homework solution discussion
  date: Wednesday, Feb 12
  description: Present solution for first homework and discussions

- name: Presidents’ Day Holiday
  date: Monday, Feb 17
  description: No class.
  dayoff: true

- name: Direct Volume Rendering (1)
  date: Wednesday, Feb 19
  description: Volume rendering, compositing, modeling light, ray casting.
  image: ../images/schedule/vrendering.jpg

- name: Computer Graphics Techniques for Scientific Visualization (1)
  date: Monday, Feb 24
  description: Rendering primitives, shading, orthographic vs. perspective projections
  image: ../images/schedule/primitives.jpg

- name: Computer Graphics Techniques for Scientific Visualization (2)
  date: Wednesday, Feb 26
  description: Rasterization, illumination, non-photorealistic rendering.
  image: ../images/schedule/shadows.jpg

- name: Second homework solution discussion
  date: Monday, Mar 2
  description: Solution second homework

- name: Direct Volume Rendering (2)
  date: Wednesday, Mar 4
  description: Transfer functions for 3D data, volume classification, multi-dimensional transfer functions.
  image: ../images/schedule/transferfunction.jpg

- name: Spring break
  date: Monday, Mar 9
  description: No class.
  dayoff: true

- name: Spring break
  date: Wednesday, Mar 11
  description: No class.
  dayoff: true

- name: Vector field visualization (1)
  date: Monday, Mar 16
  description: Introduction to vector fields, 2D vector field representation, integration methods, 4th order Runge-Kutta method.
  image: ../images/schedule/vectorfields.jpg

- name: Vector field visualization (2,3)
  date: Wednesday, Mar 18
  description: Seeding streamlines, Line Integral of Convolution (LIC), 3D LIC, illumination and depth cues.
  image: ../images/schedule/streamlines.jpg

#- name: Vector field visualization (3)
#  date: Monday, Mar 16
#  description: Streamlines vs streaklines vs pathlines, critical points, topological skeleton,
#  image: ../images/schedule/flows.jpg

- name: Tensor field visualization
  date: Monday, Mar 23
  description: Tensor in engineering and medicine, diffusion tensor imaging, eigenvalues and eigenvectors, direct visualization methods.
  image: ../images/schedule/tensors.jpg

#- name: Tensor field visualization
#  date: Monday, Mar 23
#  description: Glyphs for tensors, ellypsoids vs superquadrics, color coding and lit-tensors.
#  image: ../images/schedule/tensors2.jpg

- name: Perception 1
  date: Wednesday, Mar 25
  description: Cognitive neuroscience, optical illusions, the human visual system, Cornsweet Illusion.
  image: ../images/schedule/perception.jpg

- name: Perception 2
  date: Monday, Mar 30
  description: CIE Chromaticity Diagram, color spaces, color deficiencies, patterns, continuty, and closure.
  image: ../images/schedule/cie.jpg

- name: Virtual environments
  date: Wednesday, Apr 1
  description: The cave and other immersive enviroments, tasks benefiting from VR, applications in neuroscience and metrology.
  image: ../images/schedule/vrneurons.jpg

- name: Uncertainty visualization (1)
  date: Monday, Apr 6
  description: Visualization of error and uncertaintly, the boxplot and its modifications, topological uncertainty.
  image: ../images/schedule/uncertainty1.jpg

- name: Uncertainty visualization (2)
  date: Wednesday, Apr 8
  description: Isosurface uncertainty, volume rendering uncertainty, ensemble curved boxplot.
  image: ../images/schedule/uncertainty.jpg

- name: Big data (1)
  date: Monday, Apr 13
  description: The four V's of big data, isosurfaces of big data, data layouts for visualization of big data experiemnts and simulations.
  image: ../images/schedule/bigdatatopo.jpg

- name: Big data (2)
  date: Wednesday, Apr 15
  description: Multi-resolution data structures, parallel visualization, image compositing for volume rendering.
  image: ../images/schedule/bigdata2.jpg

- name: Visualization Research Challenges
  date: Monday, Apr 20
  description: In situ analysis and visualization, post hoc data exploration, data quality, and data reduction.
  image: ../images/schedule/challenges.jpg

- name: Reading Day  (no class)
  date: Wednesday, Apr 22
  dayoff: true

- name: Project Presentations
  date: Monday, Apr 27 (6.00 to 8.00 PM)