MTH 337 Introduction to Scientific and Mathematical Computing

• Syllabus
  • Instructor
  • Course Resources
  • Grading
    • Project Reports
    • In-class assignments
  • Useful Information
    • Important Dates
    • Incomplete Grades
    • Academic Integrity
    • Accessibility Resources
    • Critical Campus Resources
• Weekly Schedule
  • Preliminaries
  • Getting started with Jupyter notebook
    • Launching Juypter notebook
    • Locating Jupyter notebook files
    • Downloading notebook files
  • Week 1: Jan 21 - Jan 23
    • Logistics
    • Jupyter Notebook
    • Python
    • Week 1 notebook
  • Week 2: Jan 26 - Jan 30
    • Python
    • Week 2 notebook
  • Week 3: Feb 2 - Feb 6
    • Python
    • Week 3 notebook
• Current Tasks
• Project Report Guide
  • Checklist
  • Collaboration
  • Using external resources
  • Report grading rubrics
  • Report Style Guide
    • Report introduction
    • Report conclusions
    • Report organization
    • References
    • Math formatting
    • Code structure
    • Code sequencing
    • Code comments
    • Execution errors
    • Output size
    • Output formatting
    • Graphs and plots
• Useful links
  • UBLearns
  • MTH 337 notes by prof. Adam Cunningham
  • Markdown cheatsheet
  • LaTeX symbols
  • Python documentation
  • Matplotlib documentation
  • Numpy documentation
  • Project Euler
• Python tools
  • Importing modules
    • Python modules
    • Referencing module names
  • Lists, ranges, and "for" loops
    • Lists
    • Strings vs Lists
    • “for” loops
    • Range
  • Functions
    • Functions basics
    • Positional and keyword arguments
    • Default values
    • Why use functions
  • Mutable vs immutable objects
    • Two examples
    • How this works
    • Why it works this way
    • Additional remarks
  • List comprehensions
    • Basic comprehensions
    • Generalized comprehensions
    • Nested comprehensions
  • Matplotlib plots
    • Basic plotting
    • More plotting options
    • Plot legend
    • Further reading
  • Matplotlib subplots
    • Subplots
    • Axes objects
  • The slider widget
  • NumPy arrays
    • NumPy array basics
    • Some differences between lists and numpy arrays
    • How to create a numpy array
    • Numpy and matplotlib
    • Further reading
  • Multidimensional arrays
    • Creating arrays with more than one dimension
    • Mathematical operations on multidimensional arrays
    • Slicing multidimensional arrays
  • Boolean NumPy arrays
    • Boolean arrays
    • Logical operations on boolean arrays
    • Indexing with boolean arrays
  • Image processing
    • imshow
    • imsave
    • RGB Colors
    • imshow and imsave with RGB colors
    • imread
  • NetworkX library
    • The NetworkX library
    • Graphs
    • Weighted Edges
    • Digraphs
    • Multigraphs
    • Further reading