WSQN1602 Geographic Information System Technology

Hiroshima University Syllabus

Japanese

Academic Year 2024Year School/Graduate School Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Transdisciplinary Science and Engineering Program

Lecture Code WSQN1602 Subject Classification Specialized Education

Subject Name Geographic Information System Technology

Subject Name
（Katakana）

Subject Name in
English Geographic Information System Technology

Instructor BHANAGE VINAYAK NITIN

Instructor
(Katakana) バナゲ　ビニャック　ニティン

Campus Higashi-Hiroshima Semester/Term 1st-Year,  Second Semester,  Intensive

Days, Periods, and Classrooms (Int) Inte

Lesson Style Lecture Lesson Style
(More Details) 　

Lecture and Interactive Practical Sessions (Offline Mode)

Credits 2.0 Class Hours/Week 　 Language of Instruction E : English

Course Level 6 : Graduate Advanced

Course Area（Area） 25 : Science and Technology

Course Area（Discipline） 13 : Civil Engineering

Eligible Students Graduate students

Keywords GIS, Remote Sensing, Spatial Analysis

Special Subject for Teacher Education 　 Special Subject 　

Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students)
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students)

Class Objectives
/Class Outline This course is designed to provide students with a foundation and practical skills in Geographic Information Systems (GIS) and Remote Sensing (RS). Upon completing the course, students will have the capability to effectively process RS data, employ key GIS tools, and perform basic spatial analysis. They will develop proficiency in identifying and addressing social-ecological issues through GIS/RS-based analysis, bridging their findings with management practices, and contributing to advancing current knowledge.

Class Schedule Lecture 1: Fundamentals of Remote Sensing
Lecture 2: Electromagnetic radiation and its interaction with matter
Lecture 3: Atmospheric effects and corrections
Lecture 4: Hands on training : Raster analysis 1
Lecture 5:  Hands on training : Raster analysis 2
Lecture 6: Digital image processing and image classification
Lecture 7:  Hands on training : Raster analysis 3
Lecture 8: Fundamentals of Geographic Information System
Lecture 9: Spatial Data concept and map reference system
Lecture 10: Spatial Data: models, sources, and analysis
Lecture 11: Data visualization and 3D analyst
Lecture 12:  Hands on training : Vector analysis:1
Lecture 13:  Hands on training : Vector Analysis:2
Lecture 14:  Hands on training : Vector Analysis:3
Lecture 15: Case study based on GIS and RS with hands on training : 1
Lecture 16: Case study based on GIS and RS with hands on training :2

Text/Reference
Books,etc. Lillesand T.M., And Kiefer R.M., Remote Sensing And Image Interpretation, Fourth Edition, Wiley, 1999.
Chang K., Introduction to Geographic Information Systems, McGraw-Hill, New York, 2006.
P.A. Burrough and R.A.McDonnell, Principles of Geographic Information Systems, Oxford University Press, 1999.

PC or AV used in
Class,etc. 　

(More Details) PCs with Windows Operating Systems and PC room needed,

Learning techniques to be incorporated 　

Suggestions on
Preparation and
Review Learning through Interactive Discussion; Team Based Learning; Pronlem Based Learning and Post Class reports and assignments
It is recommended to understand fundamental geography concepts and spatial datasets.

Requirements If the number of applicants exceeds twenty, it is recommended to issue course-specific accounts (licenses of access to ArcGIS software) for students.)

Grading Method Students will be assessed based on the: Attendance, Participation and Performance in the class , Assignments, and Final Report Preparation

Practical Experience

Summary of Practical Experience and Class Contents based on it

Message

Other

Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching.

Academic Year	2024Year	School/Graduate School	Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Transdisciplinary Science and Engineering Program
Lecture Code	WSQN1602	Subject Classification	Specialized Education
Subject Name	Geographic Information System Technology
Subject Name （Katakana）
Subject Name in English	Geographic Information System Technology
Instructor	BHANAGE VINAYAK NITIN
Instructor (Katakana)	バナゲ　ビニャック　ニティン
Campus	Higashi-Hiroshima	Semester/Term	1st-Year, Second Semester, Intensive
Days, Periods, and Classrooms	(Int) Inte
Lesson Style	Lecture	Lesson Style (More Details)
Lecture and Interactive Practical Sessions (Offline Mode)
Credits	2.0	Class Hours/Week		Language of Instruction	E : English
Course Level	6 : Graduate Advanced
Course Area（Area）	25 : Science and Technology
Course Area（Discipline）	13 : Civil Engineering
Eligible Students	Graduate students
Keywords	GIS, Remote Sensing, Spatial Analysis
Special Subject for Teacher Education		Special Subject
Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students)
Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students)
Class Objectives /Class Outline	This course is designed to provide students with a foundation and practical skills in Geographic Information Systems (GIS) and Remote Sensing (RS). Upon completing the course, students will have the capability to effectively process RS data, employ key GIS tools, and perform basic spatial analysis. They will develop proficiency in identifying and addressing social-ecological issues through GIS/RS-based analysis, bridging their findings with management practices, and contributing to advancing current knowledge.
Class Schedule	Lecture 1: Fundamentals of Remote Sensing Lecture 2: Electromagnetic radiation and its interaction with matter Lecture 3: Atmospheric effects and corrections Lecture 4: Hands on training : Raster analysis 1 Lecture 5: Hands on training : Raster analysis 2 Lecture 6: Digital image processing and image classification Lecture 7: Hands on training : Raster analysis 3 Lecture 8: Fundamentals of Geographic Information System Lecture 9: Spatial Data concept and map reference system Lecture 10: Spatial Data: models, sources, and analysis Lecture 11: Data visualization and 3D analyst Lecture 12: Hands on training : Vector analysis:1 Lecture 13: Hands on training : Vector Analysis:2 Lecture 14: Hands on training : Vector Analysis:3 Lecture 15: Case study based on GIS and RS with hands on training : 1 Lecture 16: Case study based on GIS and RS with hands on training :2
Text/Reference Books,etc.	Lillesand T.M., And Kiefer R.M., Remote Sensing And Image Interpretation, Fourth Edition, Wiley, 1999. Chang K., Introduction to Geographic Information Systems, McGraw-Hill, New York, 2006. P.A. Burrough and R.A.McDonnell, Principles of Geographic Information Systems, Oxford University Press, 1999.
PC or AV used in Class,etc.
(More Details)	PCs with Windows Operating Systems and PC room needed,
Learning techniques to be incorporated
Suggestions on Preparation and Review	Learning through Interactive Discussion; Team Based Learning; Pronlem Based Learning and Post Class reports and assignments It is recommended to understand fundamental geography concepts and spatial datasets.
Requirements	If the number of applicants exceeds twenty, it is recommended to issue course-specific accounts (licenses of access to ArcGIS software) for students.)
Grading Method	Students will be assessed based on the: Attendance, Participation and Performance in the class , Assignments, and Final Report Preparation
Practical Experience
Summary of Practical Experience and Class Contents based on it
Message
Other
Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching.

Back to syllabus main page