RIT Department of Computer Science CSCI-737-01 Pattern Recognition (Spring 2019)
Instructor	Prof. Richard Zanibbi (Contact info)
Office Hrs	Tuesday 3:15-4:45pm, Thursday 3:15-3:50pm, Friday 2-3pm (GOL 3551)
Lectures	Tuesday and Thursday, 2:00pm - 3:15pm (GOL 1610)

Required Materials

• N/A

Additional Resources

• Notes on academic writing and research programming are available from Prof. Zanibbi's web pages.
• Python Resources:
  • python.org - Official Python website.
  • Reference text: Python for Software Design (How to Think Like a Computer Scientist) Allen Downey's excellent introductory text on programming using Python (manuscript is available for free online). Code from the book is available here.
  • Tutorials for Python 3.6 and Python 2.7 (an earlier version; included in case this is helpful).
  • scitkit-learn (python 'traditional' machine learning library)
  • PyTorch neural network library.
  • IDLE - Documentation for Python's Integrated DeveLopment Environment (NOTE: python 3 docs)
  • matplotlib - the matlab-style plotting library which can be used in stand-alone python programs, or using the interactive IPython shell.
    • These have been installed on the CS computer systems. To use 'pylab' remotely (e.g. on your laptop), you need to open an x-terminal (e.g. using X11 on Mac, using putty or a Cygwin terminal on Windows, or 'terminal' on Linux/Unix systems), and then login using: ssh -Y userid@glados.cs.rit.edu . '-Y' allows new windows to be created on your machine when new plot/figure windows are created by 'pylab.'
• A number of textbooks on Pattern Recognition are available from the RIT library.