Scientific Computing, 2024

Weekly assignments

• Assignment 1, due September 17.
  Also download the coding standards files
  • CodingStandards.py
  • CodingStandards.pdf
  • LinearScaleWholeRange.pdf
  • LinearScaleReducedRange.pdf
  • LogScaleWholeRange.pdf
• Assignment 2, due September 24.
  Also download a code that hints at how to make bin counts.
  • BinCounts.py
• Assignment 3, due October 1.
  Also files that illustrate event driven simulation
  • EventDrivenSimulation.py. Code that implements a simple event-driven simulation
  • EventDrivenSimulation.pdf. An explanation of event-driven simulation and the code
  • ArrivalDecayProcess.pdf. Sample output.
• Assignment 4, due October 8.
  Also the data handling modules and data files
  • FakeData.py. Code that makes fake data
  • DataAnalysis.py. Code that reads from data files
  • DataInfo.py. The ascii text file describing the data.
  • ModelParameters. A binary file with model parameters.
  • TimeSeries. A binary file containing the (fake) data.
  • DataInfo2.py. An ascii text file describing another data.
  • ModelParameters2. Another binary file with model parameters.
  • TimeSeries2. Another binary file containing the (fake) data.
• Assignment 5, due October 29.
  Files about making movies in Python
  • colorWaveMovie.pdf. Notes on how to make a color movie of the kind Assignment 5 asks for.
  • colorWaveMovie.py. Code makes a sample movie, explained in the pdf file above.
  • colorWaveMovie.mp4. The movie produced by the Python code above. The code should make the same movie on your computer.
• Assignment 6, due November 12.
  
  • PythonForSmarties.pdf. Notes on Python coding, updated. See Section 10 on using class instances to communicate a target function defined by data to another function.
    • classDemo.py. The code for Figure 13.
  • Assignment6Codes.pdf. An explanation of coding methods for this assignment.
  • FakeData.py. The code used to make fake data for this assignment. Feel free to make other fake datasets and see how the data fit routines work.
  • modelFit.py. Code that reads and plots data from a fake data file. This demonstrates how a Python module can get information from the command line.
  • run2RawData.pdf. An example of a plot of raw data from a data file.
• Assignment 7, due November 19.
  
• Assignment 8, due December 3.
  
• Assignment 9, due December 19.
  
  • exceptionDemo.pdf. Notes on how to raise and handle exceptions in Python.
  • exceptionDemo.py. The demonstration code that goes with the notes.
• SampleFinal. Nothing to hand in