| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| This course aims to provide students with a comprehensive understanding of the core principles, processes, and critical considerations in surveying adjustment methods through the theoretical derivation of adjustment computations, lectures on classic examples, assignments, and exams. |
|
|
|
| Attendance |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction |
| Week 2 |
Foundations: Observations, Parameters, Random Errors, and Essential Math |
| Week 3 |
Error Propagation |
| Week 4 |
Principals of Least Squares |
| Week 5 |
The Gauss-Markov Model (I) |
| Week 6 |
The Gauss-Markov Model (II) |
| Week 7 |
Linearization of Nonlinear Function Models |
| Week 8 |
Midterm Exam |
| Week 9 |
The Model of Condition Equations (I)
(2024 TEGA (Taiwan EV & GREEN ENERGY ASSOCIATION) Conference at NCHU) |
| Week 10 |
The Model of Condition Equations (II) |
| Week 11 |
Mixed Model |
| Week 12 |
The Gauss-Markov Model with Constraints |
| Week 13 |
The Model of Condition Equations with Constraints |
| Week 14 |
Damped Least Squares |
| Week 15 |
Statistical Analysis |
| Week 16 |
Final Exam |
| Week 17 |
Self-directed Learning: Reading Textbook |
| Week 18 |
Self-directed Learning: Reading Textbook |
|
| Evaluation |
Midterm Exam(30%), Final Exam(40%), Homework(20%),and Attendance(10%)
|
| Textbook & other References |
1. Ghilani, Charles D., Adjustment Computations Spatial Data Analysis, 6th, John Wiley & Sons, INC., 2017.
2. Snow, K., & Schaffrin, B., Adjustment computations, Geodetic Science at the Ohio State University, 2024.
3. Menke, W., Geophysical data analysis: Discrete inverse theory (3rd ed.), Academic Press, 2012.
4. You, R.J., Fundamentals of Least Squares Adjustment for Geodesy and Geospatial Informatics, Tsang Hai Publishing, 2019. ISBN 978-986-363-077-7. (in Chinese) [基礎測量平差法,尤瑞哲著,滄海圖書,2019] |
| Teaching Aids & Teacher's Website |
iLearning3.0:
https://lms2020.nchu.edu.tw/course/32013 |
| Office Hours |
| By appointment via email. |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses:N |
|