Dec 01, 2022  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog [ARCHIVED CATALOG]

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CS 565 - Scientific Computing


Description:
A hands-on approach, application oriented. Topics include optimization, mathematical modeling, simulations, numerical computation, and data visualization.  Formerly MATH 565, students may not receive credit for both.

Prerequisites:
Prerequisites: CS 301 or undergraduate students may enroll with the permission of the instructor.

Credits:
(4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Evaluate prevalent optimization, modeling, simulation, numerical computational, and visualizing tools in use in industry and the sciences.
  • Assess the use of mathematical and computational modeling in solving complex problems in industry and the sciences.
  • Appraise the value of prevalent algorithms and programs use of simplifications and dimensionality reduction techniques.
  • Formulate and defend a high- level approach for numerically solving a novel computational task.
  • Rate a high-level approach for numerically solving a novel computational task.

Learner Outcomes Approval Date:
12/03/15

Anticipated Course Offering Terms and Locations:



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