Dec 01, 2022
CS 565 - Scientific Computing
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: CS 301 or undergraduate students may enroll with the permission of the instructor.
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:
Anticipated Course Offering Terms and Locations:
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