| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
讓學生了解數值分析所涵蓋的基本內容，做為日後計算科學或數據科學應用的工具或研究的基礎。
To enable students to understand the basic contents of numerical analysis as a tool or basis for research in future computational science or data science applications. |
| 1.Basic Knowledge in Mathematical Sciences |
| 2.Professional Knowledge in Mathematical Analysis |
| 7.Mathematical and Statistical software skills |
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| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Matlab/Python, Solve an equation for one variable. |
| Week 2 |
Solve an equation for one variable. |
| Week 3 |
Interpolation and Approximation Theory of Polynomials: Lagrange, Hermite, cubic spline |
| Week 4 |
Interpolation and Approximation Theory of Polynomials: Lagrange, Hermite, cubic spline |
| Week 5 |
Numerical differentiation and integration |
| Week 6 |
Numerical differentiation and integration |
| Week 7 |
Matrix computation |
| Week 8 |
Matrix computation & Midterm Exam |
| Week 9 |
Matrix computation |
| Week 10 |
Solve linear system of equations. |
| Week 11 |
Solve linear system of equations. |
| Week 12 |
Solving differential equations |
| Week 13 |
Solving differential equations |
| Week 14 |
Matrix and Data Analysis |
| Week 15 |
Matrix and Data Analysis |
| Week 16 |
Matrix and Data Analysis & Final Exam |
| Week 17 |
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| Week 18 |
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| Evaluation |
期中考（30%),期末考(30%),作業(40%)
Midterm (30%), Final exam (30%), Homework (40%) |
| Textbook & other References |
1.R.L. Bunder and J.D.Faires, Numerical Analsis, 9nd ed., Brooks/Cole, Cengage Learning, Boston, 2011. ISBN-13: 978-0-538-73351-9.
2.Jaan Kiusalaas, Numerical Methods in Engineering with Python, Cambridge University Press, New York, 2005. ISBN-13: 978-0-511-12810-3.
3. Cleve Moler, Numerical Computing with MATLAB, 2004, SIAM. (電子檔可以下載 ww.mathworks.com/moler.)
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| Teaching Aids & Teacher's Website |
| Python 教學錄影網頁 https://www.pitt.edu/~naraehan/python3/getting_started_mac_first_try.html |
| Office Hours |
| 15 |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|