| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| Students will learn to analyze observation data, apply least squares and statistical testing methods, and understand sequential adjustment and Kalman filtering for static and dynamic systems. |
| 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 as civil engineers |
| 5.Professional knowledge in structural engineering, hydraulic engineering, geotechnical engineering, geomatics, construction management, hazard mitigation, and sustainable engineering |
| 6.Capability in the initiation and fulfillment of research proposals and writing professional theses |
|
|
|
| Attendance |
| Assignment |
| Quiz |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
2/27：Adjusted holiday |
| Week 2 |
Introduction
Observations and their Analysis |
| Week 3 |
Random Error Theory
Confidence Intervals
Statistical Testing |
| Week 4 |
Principals of Least Squares and Error Propagation |
| Week 5 |
The Gauss-Markov Model: Adjustment of Leveling Networks |
| Week 6 |
4/3：Adjusted holiday |
| Week 7 |
The Model of Condition Equations: Adjustment of Leveling Networks |
| Week 8 |
Adjustment of Horizontal Surveys: Trilateration, Triangulation, Traverses and Networks |
| Week 9 |
Midterm Exam |
| Week 10 |
5/1：International Workers Day (holiday) |
| Week 11 |
Adjustment of GPS Networks and Coordinate Transformations |
| Week 12 |
General Least Squares Method |
| Week 13 |
Time Series Analysis |
| Week 14 |
Sequential Adjustment versus Kalman Filter |
| Week 15 |
Introduction to Geophysical Inversion: Damped Least Squares |
| Week 16 |
Final Project Presentation |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
02.Viewing multimedia materials related to industry and academia.
|
|
| Evaluation |
| Midterm Exam(30%), Final Project(30%), Homework(30%),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. |
| Teaching Aids & Teacher's Website |
| iLearning |
| Office Hours |
| Appointment via email. |
| Sustainable Development Goals, SDGs(Link URL) |
| include experience courses：N |
|