Date | Topic |
---|---|
Aug 22 |
Syllabus |
Aug 24 |
Model Problems |
Aug 29 |
Tools: Matlab and SciPy |
Aug 31 |
Random Numbers and Monte Carlo Methods |
Sept 5 |
No Class - Labor Day |
Sept 7 |
Numeric Integration |
Sept 12 |
Errors |
Sept 14 |
Vectors, Matrices, and Linear Systems |
Sept 19 |
1D Finite Difference |
Sept 22 |
2D Finite Difference |
Sept 26 |
Vector Norms, Matrix Norms and Condition Number |
Sept 28 |
Gaussian Elimination LU Decomposition |
Oct 3 |
Iterative Solvers Jacobi,
Gauss-Seidel, SOR |
Oct 5 |
Iterative Solvers Steepest
Descent and Conjugate Gradients |
Oct 10 |
No Class - Fall Break |
Oct 12 |
No Class - Fall Break |
Oct 17 |
Introduction to Meshing |
Oct 19 |
Introduction to Meshing (cont.) |
Oct 24 |
Introduction to Visualization and Perception |
Oct 26 |
Introduction to Visualization
and Perception (cont.) |
Oct 31 |
Interpolation |
Nov 2 |
Scalar Field Visualization Using Isosurfacing |
Nov 7 |
Scalar Field Visualization Using Volume Visualization |
Nov 9 |
Eigenvalues and Eigenvectors |
Nov 14 |
Vector Field Visualization |
Nov 16 |
SVD and PCA |
Nov 21 |
Root Finding |
Nov 23 |
Guest Lecturer TBD - Machine Learning and Data Mining |
Nov 28 |
Guest Lecturer - Pavol Klacansky - Virtual Reality |
Nov 30 |
Guest Lecturers - Clement Vachet and Yong Wan - Medical Visualization |
Dec 5 |
Guest Lecturer - Jixian Li - Machine Learning and Visualization |
Dec 7 |
Last Day of Class - What I Hope you Learned |