Graduate

Courses

Computer Science

P573 Scientific Computing

Credits: 3

Prerequisite(s): MATH-M 303 or M 301, M 343 and CSCI-C 212.

For students from all scientific, engineering, and mathematical disciplines, this course provides an overview of computer hardware, software, and numerical methods that are useful on scientific workstations and supercomputers. Topics include high-performance computer architectures, software tools and packages, characteristics of numerical methods in common use, graphical presentation of results, and performance analysis and improvement.

Fall 2017


Instructor: Randall Bramley
Time: 8:00AM-9:15AM Mon, Wed
Location: Lindley Hall, Room 102

  • Course History

      Fall 2016


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Lindley Hall, Room 102

      Fall 2015


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Ballantine Hall, Room 109

      Fall 2014


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Lindley Hall, Room 102

      Fall 2013


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Lindley Hall, Room 102

      Fall 2012


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Lindley Hall, Room 102

      Fall 2011


      Instructor: Randall Bramley
      Time: 8:00AM-9:15AM Mon, Wed
      Location: Lindley Hall, Room 102