Course Information
Course title
Adjustment and Analysis of Spatial Information 
Semester
109-1 
Designated for
COLLEGE OF ENGINEERING  GRADUATE INSTITUTE OF CIVIL ENGINEERING,SURVEYING AND GEOSPATIAL ENGINEERING DIVISION  
Instructor
 
Curriculum Number
CIE7152 
Curriculum Identity Number
521 M7410 
Class
 
Credits
3.0 
Full/Half
Yr.
Half 
Required/
Elective
Elective 
Time
Thursday 6,7,8(13:20~16:20) 
Remarks
The upper limit of the number of students: 24. 
Ceiba Web Server
http://ceiba.ntu.edu.tw/1091CIE7152_ 
Course introduction video
 
Table of Core Capabilities and Curriculum Planning
Table of Core Capabilities and Curriculum Planning
Course Syllabus
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Course Description

[1] Introduction to Spatial Information
[2] Review of Statistical Concepts and Linear Algebra
[3] Least Squares Adjustments (Observations Only / Indirect Observations)
[4] Non-linearity, Linearization, and Iteration Procedure
[5] Principal of Covariance Propagation
[6] Data Snooping and Blunder Detection
[7] Statistical Post-Analysis of Adjustment Results
[8] Adjustment with Constraints & Added Parameters
[9] General Least Squares Adjustment
[10] Sequential Approach of Adjustment Computations
 

Course Objective
本課程主要於介紹空間觀測數據之處理與分析原理,包含最小二乘法參數估計原理、誤差傳播理論、觀測資料偵錯技巧、特殊平差處理模式以及後平差成果分析等。 
Course Requirement
先修基礎課程: 測量學(一)、或然率與統計、工程數學(一)、(二) 
Student Workload (expected study time outside of class per week)
 
Office Hours
Note: Tuesdays 15:10-16:30 or by appointment 
Designated reading
 
References
[1] Ghilani CD (2010): Adjustment Computations: Spatial Data Anlysis, 5th Ed.
[2] Mikhail EM (1981): Analysis and Adjustment of Survey Measurements.
[3] Hsu R (2005): Adjustment treatments of surveying measurements.
[4] Harvey BR (1991): Practical Least Squares and Statistics for Surveyors.
[5] Caspary WF (1988): Concepts of Network and Deformation Analysis.
 
Grading
   
Progress
Week
Date
Topic
第01週
09/17  Introduction 
第02週
09/24  Review of Statistical Concepts and Linear Algebra 
第03週
10/1  No Class!
Moon Festival! 
第04週
10/8  Least Squares Fundamentals (Observations Only) 
第05週
10/15  Least Squares Fundamentals (Indirect Observations) 
第06週
10/22  Principal of Covariance Propagation  
第07週
10/29  Non-linearity, Linearization, and Iteration Procedure 
第08週
11/5  General Least Squares Adjustment 
第09週
11/12  Adjustment with Constraints & Added Parameters
 
第10週
11/19  Adjustment with Constraints & Added Parameters
 
第11週
11/26  Adjustment with Constraints & Added Parameters 
第12週
12/3  Midterm Exam 
第13週
12/10  Unified Approach to Least Squares & Constraints 
第14週
12/17  Unified Approach to Least Squares & Constraints 
第15週
12/24  Unified Approach to Least Squares & Constraints 
第16週
12/31  Unified Approach to Least Squares & Non-linearity 
第17週
1/7  Final Report 
第18週
1/14  No Class