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Catalog description:

This course addresses programming skills at an intermediate level and focuses specifically on scientific and engineering computing skills.  This course will emphasize topics commonly encountered in scientific computing/computational science.  It primarily addresses non-parallel (serial) computing competencies and is a prerequisite to the high performance computing area.  The course will focus on an appropriate programming language currently used in research.

Prerequisites:

A programming course in any language.

Learning Outcomes:

At the end of this course, students will be able to:

• Implement programming solutions to scientific problems with an appropriate programming language currently used in the research domain.
  • Use basic debugging techniques to identify logic errors
  • Apply non-parallel (serial) optimization concepts and techniques
  • Use at least one widely used numerical library (e.g. GNU Octave)
  • Demonstrate understanding number representation
  • Write programs that are robust with respect to numerical errors
  • Write programs that read and write external files using various file formats
• Apply software engineering best practices in designing, testing and writing computer programs.
• Describe the concepts of algorithm complexity.
• Apply Monte Carlo algorithms to appropriate problems.