Lecture Notes

• Chapter 1. Operation systems, Version controls, Remote access
  • Motivations and Needs for Scientific Computing
  • Items for the Class
  • Programming Languages, Platforms, Operating Systems
  • Version Control System – Managing Your Projects
  • Accessing the Network Resources
• Chapter 2. Fortran
  • Basics of Fortran
  • Fortran Flags
  • Fortran subroutines and functions
  • Fortran array storage
  • Fortran modules
  • Makefiles
  • Fortran Input / Output
  • Fortran debugging
  • External Libraries for Scientific Computing
  • Fortran Example – Newton’s method to find a root
• Chapter 3. Python - Basics
  • Introduction to Python
  • Overview on Python Programming
  • Python data manipulations with operations
  • Python scripts and modules
  • Python built-ins
  • More examples on Python strings
  • More examples on Python lists
  • Dictionaries
  • Tuples
  • Lambda functions
• Chapter 4. Python - IO, OS functionality, debugging, OOP
  • Recap & Outlook
  • Reading Materials
  • Python inputs and outputs
  • Manipulating OS functionalities using Python
  • Exception handing and debugging in Python
  • A short example of object-oriented programming (OOP) in Python
  • Exercise
• Chapter 5. Python - Numerical Manipulations using Numpy, Matplotlib, SymPy, and SciPy
  • Outlook
  • Reading Materials
  • Array manipulations in NumPy
  • Matplotlib
  • SymPy
  • SciPy
• Chapter 6. C Programming Langues
  • Introduction to the C Programming Language
• Chapter 7. Other Topics in Scientific Computing
  • Computer Architecture
  • Introduction to High-performance Computing (HPC) with the FLASH code
  • Extreme Computings with Top 500 Supercomputers
  • Other Resources and Presentations on HPC