| 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. |
| 1.Capability in computation and analysis for civil engineering theory |
| 2.Capability in analysis, evaluation, design, and implementation for civil engineering practices |
| 3.Capability in project management, communication, team work, and problem-solving |
| 4.Acknowledgements in contemporary issues, societal responsibilities, engineering and information ethics, and continuing learning for civil engineers |
| 5.Professional knowledge in structural engineering, hydraulic engineering, geotechnical engineering, geomatics, construction management, hazard mitigation, and sustainable engineering |
|
|
|
| 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 |
10/10 National Day (holiday) |
| Week 6 |
The Gauss-Markov Model (I)
Attend the 2025 Rock Engineering and Engineering Geology Conference at NCHU |
| Week 7 |
10/24Adjusted holiday |
| Week 8 |
The Gauss-Markov Model (II) |
| Week 9 |
Midterm Exam |
| Week 10 |
The Model of Condition Equations (I) |
| Week 11 |
The Model of Condition Equations (II) |
| Week 12 |
Mixed Model |
| Week 13 |
The Gauss-Markov Model with Constraints |
| Week 14 |
The Model of Condition Equations with Constraints |
| Week 15 |
Final Exam
|
| Week 16 |
Statistical Analysis
Application of Least Squares |
self-directed
learning |
02.Viewing multimedia materials related to industry and academia.
05.Participation in various workshops organized by different departments of NCHU.
|
|
| Evaluation |
Midterm Exam(20%), Final Exam(30%), Homework(40%),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 |
| iLearning |
| Office Hours |
| By appointment via email. |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|