MTH 337 Introduction to Scientific and Mathematical Computing

• Syllabus
  • Instructor
  • Course Resources
  • Grading
    • Project Reports
    • Quizzes
    • Class Participation
  • 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: Aug 25 - Aug 27
    • Logistics
    • Jupyter Notebook
    • Python
    • Week 1 notebook
  • Week 2: Sep 1 - Sep 5
    • Python
    • Week 2 notebook
  • Week 3: Sep 8 - Sep 12
    • Quiz 1
    • Jupyter Notebook
    • Python
    • Week 3 notebook
  • Week 4: Sep 15 - Sep 19
    • Quiz 2
    • Logistics
    • Python
    • Mathematics
    • Project 1
    • Week 4 notebook
  • Week 5: Sep 22 - Sep 26
    • Quiz 3
    • Python
    • Mathematics
    • Project 2
    • Week 5 notebook
  • Week 6: Sep 29 - Oct 3
    • Quiz 4
    • Python
    • Week 6 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

Projects

• A prime or not a prime
  • Prime numbers
  • Primes and false primes
    • Congruences
    • Congruences and prime numbers
  • Project
• Pythagorean triples
  • Project