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| Semester: | Fall 2024 |
| Number: | 0144-546-099 |
| Instructor: | Nara Yoon |
| Days: | Tuesday Thursday 8:00 am - 9:15 am |
| Note: | Online, Synchronous |
| Location: | Online |
| Credits: | 3 |
| Notes: |
Restricted - Requires Specific Registration Approval |
| Course Materials: | View Text Books |
| Description: |
Students will analyze and solve partial differential equations. Students interpret solutions, use methods such as Fourier and Laplace transforms, study special functions such as Bessel and Green's functions. Students apply partial differential equations to model multivariate real-world systems. |
| Learning Goals: |
Students will be able to: - solve basic partial differential equations --- assessed by Quizzes #1 & 2- apply Fourier series and Sturm-Liouville theory to the solution of partial differential equations -- assessed by Quizzes 3 & 4- use difference methods to approximate solutions to real-world situations-- assessed by Quiz #5 and the mid-term examination- analyze and solve higher-dimensional and non-linear PDEs -- assessed by Quizzes 6-7- describe and apply special functions (Bessel and Green's functions) to the solution of partial differential equations -- assessed by Quizzes 8-9- use Laplace transforms to solve partial differential equations -- assessed by Quiz #10 and the Final Exam *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here. |
| Prerequisites: |
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