✓ - Information Gathered, ✓✓ - Final Notebook
Spring
- Matrix (Dr. Quaife) ✓
- Partial Differential Equations (Dr. Quaife) ✓
- Linear Algebra (Dr. Peterson) ✓
- Ordinary Differential Equations (Dr. Meyer-Baese) ✓
- Interpolation (Dr. Shanbhag) ✓
- Numerical Differentiation (Dr. Shanbhag) ✓
- Quadrature (Dr. Shanbhag) ✓
- Optimization (Dr. Navon) ✓
- Parallel Computing (Dr. Huang) ✓
- Data Structure (Dr. Beerli) ✓
- Statistics (Dr. Beerli) ✓
Summer (May)
- Linear Algebra (Dr. Peterson) ✓
- Integration and Fourier Series (Dr. Shanbhag) ✓
- Approximation (Dr. Shanbhag) ✓
- Probability and Statistics (Dr. Shanbhag) ✓
- Finite Difference (Dr. Quaife) ✓
- Optimization/Linear Programming (Dr. Quaife) ✓
- Partial Differential Equations (Dr. Quaife) ✓
- Parallel Programming (Dr. Huang) ✓
- Fast Fourier Transform (Dr. Meyer-Baese) ✓
- Data Structure (Dr. Meyer-Baese) ✓
- Stability and Convergence of Numerical PDEs (Dr. Plewa) ✓
Spring
- Numerical Linear Algebra (Dr. Peterson) ✓
- Numerical Quadrature (Dr. Peterson) ✓
- Numerical Integration (Dr. Shanbhag) ✓
- Ordinary Differential Equations (Dr. Quaife) ✓✓
- Statistics (Dr. Ye) ✓
- PDE Problem (Dr. Ye) ✓
- Linear Algebra (Dr. Burkardt) ✓✓
- Optimization (Dr. Navon)
- Fast Fourier Transform (Dr. Meyer-Baese) ✓
- Data Structure (Dr. Erlebacher) ✓
- Parallelization and Molecular Dynamics (Dr. Plewa)
Summer
- Numerical Linear Algebra (Dr. Peterson) ✓
- Approximation (Dr. Shanbhag)
- ODEs and Linear Algebra (Dr. Shanbhag)
- Monte Carlo (Dr. Shanbhag) ✓
- ODE and Integral (Dr. Quaife)
- Numerical Integration (Dr. Burkardt) ✓
- PDE and Finite Difference (Dr. Burkardt) ✓
- Parallel Computing (Dr. Huang) ✓
- Fast Fourier Transform (Dr. Meyer-Baese) ✓
- Data Structure (Dr. Meyer-Baese) ✓
- Q11. Optimization (Dr. Navon) ✓
Spring
- Numerical Linear Algebra (Peterson)
- Numerical Linear Algebra (Peterson) ✓
- Approximation Theory (Gunzburger)
- Numerical ODEs (Erlebacher) ✓
- Numerical Quadrature (Shanbahg) ✓✓
- Statistics (Beerli) ✓
- Fourier Analysis (Meyer-Baese) ✓
- Optimization (Wang) ✓
- Finite Element Mathod (Burkardt)
- Stability and convergence of numerical PDEs (Plewa)
- Parallelization and performance of molecular dynamics code (Dr. Plewa) ✓
Summer
- Fast Fourier Transforms (Meyer-Baese)
- Linear Algebra (Wang) ✓
- Finite Elements (Burkardt) ✓
- Numerical Linear Algebra/Eigenproblems (Peterson) ✓✓
- Interpolation/Numerical Quadratures (Peterson) ✓
- Numerical Differentiation (Shanbhag) ✓
- Statistical Analysis (Ye) ✓
- Numerical Optimization (Navon) ✓
- Parallel Programming (Huang) ✓
- Monte Carlo Integration (Shanbhag) ✓
- Numerical Partial Differential Equations (Erlebacher)
Spring
- Optimization (Dr. Navon) ✓
- Fourier Analysis (Dr. Meyer-Baese)
- Integration and Approximation: (Dr. Shanbhag) ✓
- Ordinary Differential Equations (Dr. Ye)
- Statistics (Dr. Ye) ✓
- Parallel Programming - MPI (Dr. Burkardt) ✓
- Finite Difference Methods (Dr. Peterson)
- Approximation: (Dr. Wang) ✓
- Data structures: (Dr. Beerli) ✓
- Numerical Integration (Dr. Beerli) ✓
- PDEs: (Dr. Plewa)
Spring
- Optimization (Dr. Navon) ✓
- Fourier Analysis (Dr. Meyer-Baese) ✓
- Ordinary Differential Equations: (Dr. Shanbhag)
- Partial Differential Equations (Dr. Ye)
- Linear Algebra (Dr. Peterson) ✓
- Linear Algebra (Dr. Burkardt) ✓
- Parallel Programming - MPI (Dr. Burkardt) ✓
- Statistics: (Dr. Slice) ✓
- Approximation: (Dr. Wang) ✓
- Numerical Integration (Dr. Beerli) ✓
- Molecular Dynamics (Dr. Shanbhag)
- PDEs (Dr. Plewa)
Spring
- Optimization (Dr. Navon)
- Ordinary Differential Equations/Molecular Dynamics (Dr. Shanbhag) ✓✓
- Interpolation (Dr. Shanbhag) ✓
- Finite Element (Dr. Burkardt)
- Linear Algebra (Dr. Burkardt)
- Datastructures (Dr. Beerli)
- Linear Algebra (Dr. Wang)
- Parallel Programming (Dr. Wang) ✓
- Fourier Analysis (Dr. Meyer-Baese)
- Partial Differential Equations (Dr. Ye)
- Statistics (Dr. Ye)
- Integration (Dr. Beerli) ✓
Spring
- Ordinary Differential Equations
- Linear Algebra
- Optimization
- Partial Differential Equations
- Computational Fourier analysis
- Partial differential equations: finite element method
- Optimization
- Parallel programming
- Numerical ODE
- Data structure
- Numerical differentiation
Summer
- Linear Algebra (Dr. Peterson)
- Partial Differential Equations (Dr. Peterson)
- Constrained Optimization (Dr. Navon)
- Unconstrained Optimization (Dr. Navon)
- Parallel Programming
- Datastructures (Dr. Wang)
- Linear Algebra (Dr. Wang)
- Approximation (Dr. Shanbhag)
- Gaussian Quadrature (Dr. Shanbhag)
- Ordinary Differential Equations (Dr. Erlebacher)
- Statistics and Random Processes (Dr. Beerli)
Spring
- Ordinary differential equations
- Monte Carlo and quadrature
- Orthogonal matrices and transformations
- Singular value decomposition
- Computational Fourier analysis
- Partial differential equations: finite element method
- Optimization
- Linear programming
- Parallel programming
- Numerical differentiation
- Data structure
Summer
- Ordinary differential equations
- Linear algebra
- Gaussian quadrature
- Monte Carlo
- Computational Fourier analysis
- Partial differential equations: finite element method
- Optimization
- Parallel programming
- Numerical ODE
- Data structure
- Numerical differentiation
Spring
- Datastructures
- Integration
- Monte-Carlo
- Numerical Linear Algebra
- Numerical Linear Algebra
- Parallel computations
- Numerical PDEs
- Numerical PDEs
- Fourier Transform/Optimization
- Linear Programming
- Statistical Methods
Spring
- Datastructures
- Interpolation
- Approximation
- Monte-Carlo
- Fourier Transform
- Maximum Likelihood
- Singular Value Decomposition
- PDEs
- PDEs
- Parallel Solution of Recurrences
- Numerical Linear Algebra
- Newton’s Method for Unconstrained Optimization
- Numerical Integration
- Numerical Differentiation
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