Hiroshima University Syllabus

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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:IMC-Main 2F PC Rm
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

7 Classes: 12.30 to 5 pm on Saturdays and Sundays of the Fall Semester
(October 12, October 13, October 19, October 20. October 26, October 27, November 9)
 
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. 
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