| 課程與核心能力關聯配比(%) |
課程目標之教學方法與評量方法 |
| 課程目標 |
核心能力 |
配比(%) |
教學方法 |
評量方法 |
| This course aims to develop students’ understanding of advanced data adjustment, covariance analysis, and precision assessment, while introducing time-series analysis, sequential adjustment, and dynamic estimation methods. Students will also learn the fundamentals of inverse problems, regularization, nonlinear and Bayesian inversion, and develop practical skills for analyzing and integrating multi-source and multi-temporal geodetic and geophysical data. |
|
|
|
|
| 授課內容(單元名稱與內容、習作/每週授課、考試進度-共16週加自主學習) |
| 週次 |
授課內容 |
| 第1週 |
Review of Least-Squares Adjustment |
| 第2週 |
Covariance Propagation and Precision Assessment |
| 第3週 |
Stochastic Models and Weight Matrix Design |
| 第4週 |
Variance and Covariance Component Estimation |
| 第5週 |
Time-Series Analysis and Performance Metrics |
| 第6週 |
Outlier Detection and Robust Estimation |
| 第7週 |
Sequential Least-Squares Adjustment and Kalman Filtering |
| 第8週 |
Midterm (Project Proposal and Progress Presentation) |
| 第9週 |
Fundamentals of Geophysical Inverse Theory |
| 第10週 |
Generalized Inverse, Singular Value Decomposition, and Ill-Posed Problems |
| 第11週 |
Regularization Methods for Inverse Problems |
| 第12週 |
Nonlinear Estimation and Inversion |
| 第13週 |
Bayesian Estimation and Uncertainty Quantification |
| 第14週 |
Joint Inversion and Multi-Source Data Integration |
| 第15週 |
Time-Dependent Inversion and Geodetic/Geophysical Applications |
| 第16週 |
Final Project Presentation |
自主學習
內容 |
03.製作專題報告
|
|
| 學習評量方式 |
| Midterm (40%), Final Project (60%) |
| 教科書＆參考書目(書名、作者、書局、代理商、說明) |
Textbook:
Ghilani, C. D. (2018). Adjustment Computations: Spatial Data Analysis, 6th ed., Wiley.
References:
Aster, R. C., Borchers, B., & Thurber, C. H. (2018). Parameter Estimation and Inverse Problems, 3rd ed., Elsevier.
Menke, W. (2018). Geophysical Data Analysis: Discrete Inverse Theory, 4th ed., Academic Press.
Shumway, R. H., & Stoffer, D. S. (2017). Time Series Analysis and Its Applications: With R Examples, 4th ed., Springer. |
| 課程教材（教師個人網址請列在本校內之網址） |
| iLearning |
| 課程輔導時間 |
| By appointment via email. |