Lab Exercises
Computer Lab exercise will emphasize and extend
concepts presented in lecture.
The following links are to individual exercises, which are for you to
work on during the latter part of each class.
Thanks to Carleton Detar for providing
material used in many of these lab exercises.
exercises
due date
description
Wed, 8-Apr.
Lab 20
Quantum computing simulation
Wed, 3-Apr.
Lab 19
A final PDE with eigenvectors and a brief review of LateX
Wed, 1-Apr.
Lab 18
PDEs: the wave equation + a 2-D BVP
Wed, 27-Mar.
Lab 17
Intro to PDEs: diffusive, IVP
Mon, 25-Mar.
Lab 16
ODE solvers
Wed, 20-Mar.
Lab 15
Multiresolution + wavelets
Mon, 18-Mar.
Lab 14
Optimization
Wed, 06-Mar.
Lab 13
Root finding and optimization.
Mon, 04-Mar.
Lab 12
ML and return to clustering.
Wed, 27-Feb.
Lab 11
Classification and machine learning
Mon, 25-Feb.
Lab 10
PCA
Wed, 19-Feb.
[MIDTERM]
Mon, 17-Feb.
[PRESIDENTS DAY]
Wed, 13-Feb.
[REVIEW]
Mon, 11-Feb.
Lab 09
FIsher information.
Wed, 06-Feb.
[SNOW DAY!!]
Mon, 04-Feb.
Lab 08
Hypothesis testing.
Wed, 30-Jan.
Lab 07
Intro to MLE!
Mon, 28-Jan.
Lab 06
SVD and data fitting, possibly intro to MLE
Wed, 23-Jan.
Lab 05
MCMC and emcee, possibly intro to MLE
Wed, 16-Jan.
Lab 04
Covariance, correlations and power spectra
Mon, 14-Jan.
Lab 03
Python related to numerical integration and basic statistics.
Wed, 9-Jan.
Lab 02 Intro to python
Mon, 7-Jan.
Lab 01
Intro to Unix and the emacs editor.
