AT76.01 Geographic Information Systems

AT76.01 Geographic Information Systems

CURRICULUM REVIEW – 2018

Asian Institute of Technology

School of Engineering and Technology

AT76.01   Geographic Information Systems 3 (2-3)            SemesterAugust/January

 

Course Objective:   This course aims at introducing concept, principles and applications of Geographic Information Systems (GIS). Course also aims to develop the skill of using software and other tools of GIS in students.

Learning Outcomes:

The students on the completion of this course would be able to:

  1. Describe and communicate the concept of various kind of maps and geospatial data
  2. Develop, edit and update geospatial data
  3. Create digital maps, apply projections and other characteristics of mapping
  4. Integrate various kind of data from various sources and analyse the same using GIS concept and tools
  5. Apply the knowledge and skill for various applications

Prerequisite: None

Course Outline:

I.          Introduction

  1. Overview, History and Concepts of GIS, Scope and Application Areas
  2. Purpose and Benefits of GIS
  3. Functional Elements of GIS
  4. Importance of Remote Sensing Data in GIS
  1. Digital Mapping and Cartography
  2. Map concept – Map elements, Map Layers, Map scales and representation
  3. Map Projection – Coordinate system and projection systems
  4. Cartographic Design

 

III.       Spatial Data Structure

  1. Raster Data Structure
  2. Vector Data Structure
  3. Data Compression Techniques
  1. Data Acquisition and Data Management
  2. Analogue to digital conversion- online digitization
  3. Geospatial and environmental data from Remote Sensing Satellites
  4. Global Navigation and Satellite Systems (GNSS) based data acquisition
  5. Data Management
  1. Data Manipulation and Analysis
  2. Data Manipulation Techniques
  3. Geoprocessing Techniques
  4. Spatial Analysis Techniques – statistical and geometrical
  5. Digital Elevation Modelling
  1. Advances in GIS
  2. Internet GIS
  3. 3D GIS
  4. Open Source GIS

VII.      GIS Applications Case Studies

  1. GIS application in Urban
  2. GIS application in Health
  3. GIS application in Environment

Laboratory Session(s):

  1. Introduction to GIS Software – demonstration of structure, tools, management, formats
  2. Introduction to Spatial database development, Linking non-spatial and spatial database, database editing and updating
  3. GPS data integration in GIS
  4. Remote Sensing Data Integration
  5. Geoprocessing techniques
  6. Spatial Analysis – Charting and tabular representation, Spatial statistics, information development
  7. Network Analysis and Digital Elevation Modeling
  8. Model Builder
  9. Open source software – hands on
  10. Case Studies – Application

 

Learning resources:

 

Text Books:  No designated textbook, but class notes and handouts will be provided

Chang, K.T.:

Introduction to Geographic Information Systems (Sixth Edition). McGraw Hill, New York, 418 pp, 2012

Reference Books:

 

Ian Heywood, Sarah Cornelius and Steve Carver:

An Introduction to Geographic Information Systems, Pearson, London, 2012

 

Elaheh Pourabbas:

Geographic Information Systems-Trends and Technologies, Taylor and Francis, 2013

 

Andy Mitchell: 

ESRI guide to GIS Analysis , ESRI Press, Red Lands, Ed. 2005.

 

Journals and Magazines:

 

International Journal of GIS, Taylor & Francis

International Journal of Geoinformatics, Association of Geoinformation Technology

Others:           None

 

Teaching and Learning Methods:  Online Moodle Based Platform is used to provide all lecture materials/ reference books/ notes/ assignments.

Additional reading materials are also provided online time to time.

  1. Lectures: Students receive the lecture materials and reference materials and taught using power points and extensive discussion and explanation on white board.
  2. Tutorials: Mathematical problems are solved in the class-exercises and support is provided to students to learn.
  3. Laboratory Sessions: 10 Laboratory sessions expose students to different tools in GIS.
  4. Miniproject: Students are provided miniproject to show their ability to apply tools of GIS in problem solving. Data is provided and proposals are evaluated. They are also evaluated extensively on concept and expertise on the GIS software.
  5. Assignments: Assignments are given and students are encouraged to answer them by hand as they have to write the exams by hand only. They normally streamline the thought process of students to respond or reply the questions.
  6. Discussion Sessions: Every class will have discussion sessions and all the students are involved.

Time Distribution and Study Load:

Lecture: 30 Hrs

Laboratory: 30 Hrs

Miniproject: 15  Hrs

Assignments and Discussion: 30 Hrs

Self-studies: 90 Hrs

Evaluation Scheme:

 

Assignments and Lab Assignments: 10%

Mid-semester examination (close book): 20%

Final-semester examination (close book): 40%

Final – Mini Project: 30%

 

Students will be given “A” if they show excellent marks in all learning outcome. They will be given “B+” if they are found in top 30% in written exam and miniproject and done all tutorials and assignments by demonstrating sound understanding of principles and concept. They will be awarded “B” if they do all assignments and are able to show medium level of performance in the written exam and the miniproject. They may get “D” if their performance in the written exam as well as miniproject is in bottom 20% of the students in the class. Anyone who is unable to reach the level of “D” will be awarded “F”.

 

Instructor:     Prof. Nitin K. Tripathi

2018-11-13T16:16:58+00:00

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