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2020 Faculty Courses School of Environment and Society Undergraduate major in Civil and Environmental Engineering

Surveying

Academic unit or major
Undergraduate major in Civil and Environmental Engineering
Instructor(s)
Nobuhiro Chijiwa / Yasuhito Niina
Class Format
Lecture (Zoom)
Media-enhanced courses
-
Day of week/Period
(Classrooms)
3-4 Mon (S011) / 3-4 Thu (S011)
Class
-
Course Code
CVE.M203
Number of credits
200
Course offered
2020
Offered quarter
4Q
Syllabus updated
Jul 10, 2025
Language
Japanese

Syllabus

Course overview and goals

This course gives an overview of survey technology that is one of the most basic technologies in design, planning, or construction works. In this course, the historical aspects, basic knowledge such as global coordinates, error theory, data processing methods will be explained. In addition, the recent developments and technologies in the field of survey such as GPS, digital photogrammetry, GIS, or remote sensing will be outlined in class.
This course is aimed at providing fundamental technical knowledge in civil and environmental engineering fields for students.

Course description and aims

By the end of this course, students will be able to:
1) Explain the history of the developments of survey technologies.
2) Explain errors in measurements and the propagation of such errors.
3) Explain how to handle data containing errors.
4) Explain recent survey technologies such as GPS and GIS.

Keywords

Survey, errors, data processing, GPS, GIS, remote sensing

Competencies

  • Specialist skills
  • Intercultural skills
  • Communication skills
  • Critical thinking skills
  • Practical and/or problem-solving skills

Class flow

In this course, lectures on fundamental technical knowledge will be given.

Course schedule/Objectives

Course schedule Objectives
Class 1 Outline and role of survey technology, History of survey Explain the role of survey technologies and the development of survey technologies.
Class 2 Basic matters related to survey, measurements and errors Explain the basic matters such as coordinates and the definition of height above sea level. Explain the types of errors contained in the measured data.
Class 3 Rule of error propagation Explain the propagation of errors contained in the measured data.
Class 4 Principles of least square method Explain the least square method as a method to treat data containing errors.
Class 5 Least square method Explain the least square method in data processing.
Class 6 Constrained least square method Explain the constrained least square method in data processing.
Class 7 Net adjustment and examination Explain the net adjustment in level surveying.
Class 8 Recent surveying technology: basic ideas and coordinate systems Explain the treatment methods of coordinate systems in measurements on the earth.
Class 9 Coordinate transformation (projective transformation) Explain the coordinate transformation, namely, projective transformation in surveying.
Class 10 Fundamentals of photogrammetry Explain the principles of photogrammetry.
Class 11 Application of photogrammetry Explain the application methods of photogrammetry.
Class 12 GPS Explain the Global Positioning System (GPS).
Class 13 Remote sensing Explain the remote sensing in the surveying
Class 14 GIS Explain the Geographic Information System (GIS).

Study advice (preparation and review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None.

Reference books, course materials, etc.

Materials will be given by the instructor.

Evaluation methods and criteria

In this class, students' performance will be evaluated as follows.
Instructor 1 (Chijiwa) : report (20%) and examination (80%)
Instructor 2 (Not assigned): report (15%) and final report (85%).
The final evaluation will be done by averaging the evaluation results of the two instructors.

Related courses

  • None.

Prerequisites

None.