UChicago Course Reviews
University of Chicago
| Code | Name | Overall | Easiness | Interest | Usefulness | Reviewssorted descending |
|---|---|---|---|---|---|---|
| CAAM 28000 | Optimization | 0 | 0 | 0 | 0 | 0 |
| CAAM 38520 | Topics in Random Matrix Theory | 0 | 0 | 0 | 0 | 0 |
| CAAM 37799 | Topics in Machine Learning: Machine Learning and Inverse Pro... | 0 | 0 | 0 | 0 | 0 |
| CAAM 37791 | Topics in Machine Learning | 0 | 0 | 0 | 0 | 0 |
| CAAM 37411 | Topological Data Analysis | 0 | 0 | 0 | 0 | 0 |
| CAAM 32940 | Multivariate Data Analysis via Matrix Decompositions | 0 | 0 | 0 | 0 | 0 |
| CAAM 31460 | Applied Fourier Analysis | 0 | 0 | 0 | 0 | 0 |
| CAAM 31440 | Applied Analysis | 0 | 0 | 0 | 0 | 0 |
| CAAM 31410 | Applied Dynamical Systems | 0 | 0 | 0 | 0 | 0 |
| CAAM 31230 | Inverse Problems in Imaging | 0 | 0 | 0 | 0 | 0 |
| CAAM 31210 | Applied Functional Analysis | 0 | 0 | 0 | 0 | 0 |
| CAAM 31150 | Inverse Problems and Data Assimilation | 0 | 0 | 0 | 0 | 0 |
| CAAM 31120 | Numerical Methods for Stochastic Differential Equations | 0 | 0 | 0 | 0 | 0 |
| CAAM 31020 | Mathematical Computation IIB: Nonlinear Optimization | 0 | 0 | 0 | 0 | 0 |
| CAAM 30900 | Mathematical Computation I: Matrix Computation Course | 0 | 0 | 0 | 0 | 0 |
| CAAM 28200 | Dynamical Systems with Applications | 0 | 0 | 0 | 0 | 0 |
| CAAM 42610 | Theories of Cortical Circuit Dynamics and Computation | 0 | 0 | 0 | 0 | 0 |
| CAAM 37830 | Scientific Computing with Python | 0 | 0 | 0 | 0 | 0 |
| CAAM 37798 | Topics in Machine Learning: Scientific Computing Tools for H... | 0 | 0 | 0 | 0 | 0 |
| CAAM 37710 | Machine Learning | 0 | 0 | 0 | 0 | 0 |
| CAAM 35420 | Stochastic Processes in Gene Regulation | 0 | 0 | 0 | 0 | 0 |
| CAAM 31511 | Monte Carlo Simulation | 0 | 0 | 0 | 0 | 0 |
| CAAM 31450 | Applied Partial Differential Equations | 0 | 0 | 0 | 0 | 0 |
| CAAM 31430 | Applied Linear Algebra | 0 | 0 | 0 | 0 | 0 |
| CAAM 31240 | Variational Methods in Image Processing | 0 | 0 | 0 | 0 | 0 |
| CAAM 31220 | Partial Differential Equations | 0 | 0 | 0 | 0 | 0 |
| CAAM 31190 | Fast Algorithms | 0 | 0 | 0 | 0 | 0 |
| CAAM 31140 | Computational Imaging: Theory and Methods | 0 | 0 | 0 | 0 | 0 |
| CAAM 31100 | Mathematical Computation III: Numerical Methods for PDE's | 0 | 0 | 0 | 0 | 0 |
| CAAM 31015 | Mathematical Computation IIA: Convex Optimization | 0 | 0 | 0 | 0 | 0 |
CAAM 28000
Optimization
CAAM 38520
Topics in Random Matrix Theory
CAAM 37799
Topics in Machine Learning: Machine Learning and Inverse Pro...
CAAM 37791
Topics in Machine Learning
CAAM 37411
Topological Data Analysis
CAAM 32940
Multivariate Data Analysis via Matrix Decompositions
CAAM 31460
Applied Fourier Analysis
CAAM 31440
Applied Analysis
CAAM 31410
Applied Dynamical Systems
CAAM 31230
Inverse Problems in Imaging
CAAM 31210
Applied Functional Analysis
CAAM 31150
Inverse Problems and Data Assimilation
CAAM 31120
Numerical Methods for Stochastic Differential Equations
CAAM 31020
Mathematical Computation IIB: Nonlinear Optimization
CAAM 30900
Mathematical Computation I: Matrix Computation Course
CAAM 28200
Dynamical Systems with Applications
CAAM 42610
Theories of Cortical Circuit Dynamics and Computation
CAAM 37830
Scientific Computing with Python
CAAM 37798
Topics in Machine Learning: Scientific Computing Tools for H...
CAAM 37710
Machine Learning
CAAM 35420
Stochastic Processes in Gene Regulation
CAAM 31511
Monte Carlo Simulation
CAAM 31450
Applied Partial Differential Equations
CAAM 31430
Applied Linear Algebra
CAAM 31240
Variational Methods in Image Processing
CAAM 31220
Partial Differential Equations
CAAM 31190
Fast Algorithms
CAAM 31140
Computational Imaging: Theory and Methods
CAAM 31100
Mathematical Computation III: Numerical Methods for PDE's
CAAM 31015
Mathematical Computation IIA: Convex Optimization