Assignments:

Assignments will be posted here usually by Saturday afternoon. They will be due (via upload) the following Thursday by 10 pm. The first portion of each friday class is devoted to discussing the various approaches to the assigned problem.

Structure of the Assignments:

• Most all will deal with real data, in some cases dirty data.
  
  
• All assignments will have multiple parts to allow you practice in data organization, management, manipulation, processing, analysis, and representation.
  
  
• All assignments can be done collaboratively with group size maximum = 3.
  
  
• All assignments have built-in failure modes and obstacles to overcome because this is the best way to learn this stuff. Our expectation is that all groups will encounter failure modes.
  
  
• There is never any one right way to do the assignment; multiple approaches using multiple tools is what the assignments are designed to encourage.
  
  
• For the first few assignments you can use any tools/programming that you like (you will find that many approaches won't work) but eventually we want to migrate you to using python or fortran (gfortan) on ACISS as the principal way to perform data analysis on large data sets.
  
  
  • First Exercise (Due April 13)
    
    
  • Second Exercise (Due April 20)
    
    
  • Third Exercise (Due April 27)
    
    
  • Fourth Exercise Part I (May 4)
    
    
  • Fourth Exercise Part II (Due May 11)
    
    
  • Fifth Exercise (Due May 18)
    
    
  • Sixth Exercise (Due May 25)
    
    
  • Seventh Exercise (Due June 1)
    
    
  • Last Exercise (Due June 15)