MODULES

WEEK 1: Course Introduction W1-1: What Is Data Science? Array operations in Image Processing Array operations in Python Craig: Supercomputing and Graphic Processor Units (GPUs) (or, how to love a cylinder).	WEEK 2: First Homework Discussion Overview of Computer Hardware
WEEK 3: Second Homework Discussion UNIX shell scripting for data sorting Craig gives us more	WEEK 4: Third Homework Discussion Craig's Magical Kingdom The Tyranny of the Clock (Computer Chips) The Tryanny of the Clock (social commentary)
WEEK 5: Clustering Algorithms; Intro to netCDF Filter.py Craig Demo gfort demo Clustering and Randomness Intro to netCDF The Panoply Viewer	WEEK 6: Back to square ONE Homework 4 discussion
WEEK 7: Craig's stuff on github Homework 5 discussion	WEEK 8: Homework 6 discussion Blind random search approches The simpler version Earth quake visualization Numerical Integration Techniques Wavelet transformations and the El Nino Problem: Why this is hard
WEEK 9: Homework 7 discussion (followed by example solution) MPI Run exercise in class (Bring your laptop) Another example of best fit minization	WEEK 10: More on MPI stuff (MPI ring) from Craig Panoply demo/remaining HW assignment Some Final Remarks