MODULES

WEEK 1: Introductory Stuff

In class presentation: Powerpoint on Big Data and Visualization

Relevant other links:

Big Data in Astronomy

The Emergence of Sensor Nets

A new path for Science

Visualization

Parallelism and the Cloud

WEEK 2: Introduction to Python and Sci. Python:

Homework 2 Discussion

WEEK 3: List Management, Intro to VIZ

Homework 3 Discussion

WEEK 4: Pattern Recognition Problems; more Viz Tools; data smoothing techniques; FInite elements and finite volumes;

Homework 4 Discussion
Clustering and Randomness
Finite Volumes Methodology in Detail
Notes on Finite volume method
Noisy Data

WEEK 5: Time Series and Noisy data; Project Discussion; Craigs Magical Kingdom;

Homework 5 Discussion
Interactive Model Interfaces
Proposal for Project

WEEK 6: Remaining in Craig's Magical Kingdom - continuation of last weeks assignment

A brief interlude about the Arctic according to the White House Report
A conceptual overview of Adaptive Mesh Code (use in fluid dynamics)

WEEK 7: IN class coding exercise

WEEK 8: IN class coding exercise
The Parallel Exercise on ACISS
Numerical Integration Techniques

WEEK 9: Back to Visualization; Remarks from a 20-something coder; Craig's Magical Coding World
Visualizing high dynamic range data

More Viz Examples:

Chilean Earth quakes
Global oil consumption
Event cluster variation
Mapping forces onto reactions
Dynamic range representation and growth representation
Force directed graph in a meaningless context (but code is available)
Real time data display (with code)
Unpleasant application but good interface
Variable bar charts
Multivisualizations of one parameter
animate your differential equations
Not Effective
Circular heat chart with code
Highest Points
JS Fiddle
Get to JS Fiddle This Way

WEEK 10: Wavelet decomposition in General; The Discrete Poisson

Read This
and this
Wavelet transformations and the El Nino Problem: Why this is hard
One summer actitivty will center around learning this tool
Check your random number generator

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