Courses

Courses
Courses 2019-01-09T10:41:43+00:00

Course Objective :  This course introduces principles, concepts and applications of Geographic Information Systems (GIS): a decision support tool for planners and managers of spatial information. Database development, manipulation and spatial analysis techniques for information generation will be taught. Students will have the scope of using GIS for applications in their related fields such as natural resource management, environment, civil engineering, agriculture, information system, etc will be discussed through mini project and laboratory exercises.

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

  • Students will be exposed to the basics of digital maps, projections and other characteristics of mapping
  • They will trained on concept of map understanding,creating and presenting
  • They will be trained on commercial aswell as opensource software
  • They will be exposed to some recent case studies of GIS analysis

Prerequisite: None

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Course Objective : This course aims at providing students with principles of Remote Sensing (RS) technology, the tool to obtain information on the earth from deci-meter level to km level locally and globally, as well as basic RS image processing techniques and skills.

Learning Outcomes :

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

  1. Compare difference type of remote sensing and apply the principle of remote sensing measuring the essence of phenomena
  2. Evaluate difference Earth Observation Satellite (EOS) data and select appropriate data under the limited observation condition (wavelength, spatial and time resolution).
  3. Apply principle of digital image processing for enhancing the remote sensing and analysis
  4. Apply the essential remote sensing data technique including geometric correction and atmospheric correction for correcting the observation distortion
  5. Conduct the remote sensing image classification map by using the unsupervised and supervised classification
  6. Conduct scientific remote sensing research

PrerequisiteNone

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Course Objective :

This course will provide students with more techniques in digital image processing for remote sensing data analysis. This course emphasizes on implementation of algorithms as computer programs. The techniques taught in this course have application in several fields dealing with image data.

Learning Outcomes :

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

  • Describe the image data handling in memory and file system
  • Interpret the C programming source code for image processing
  • Apply the principle of image processing as the automate data processing procedure for remote sensing data analysis, resampling and DEM processing
  • Apply the principle of image processing on huge image files by using High Performance Computing (HPC) and General-purpose computing on Graphics Processing Units (GPGPU) environment
  • Develop new algorithms for image processing and conduct scientific Remote Sensing research

PrerequisiteNone

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Course Objective :  The course aims at providing RS/GIS image analysis tool through pre and post processing on satellite images. There will be special emphasis on images registration, extraction, classification and accuracy assessment. Students will be trained to develop a case study project at last.

Learning Outcomes :

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

  1. Conduct data manipulation and data management for pre-processing procedure.
  2. Compare difference type of remote sensing data analysis technique and select appropriate technique to archive the objective of the study.
  3. Perform correctly remote sensing data analysis.
  4. Comprehend and integrate various tools for remote sensing data analysis.
  5. Perform remote sensing data batch processing using spatial modeler.

PrerequisiteAT76.03 Remote Sensing  

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Course Objective: The course aims at providing basic photogrammetry concept, procedure, processing task and its result through project work. Error analysis is also considered and explained with various methods.  Students will be trained through the software given in the lab.

Learning Outcomes: The students on the completion of this course would be able to: Understand basic concept of Photogrammetry and Digital Photogrammetry.

  1. Understand method of camera calibration.
  2. Understand mathematical process such as colonially equation, bundle block adjustment.
  3. Understand Orthophotos and product making.

Pre-requisite:  None

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Course Objective:

This course is designed to provide fundamental knowledge and theories of microwave remote sensing. After reviewing the fundamentals of electromagnetics, both real aperture and synthetic aperture radar systems are to be introduced including physical principles.

Learning Outcomes :

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

  • Understand microwave remote sensing
  • Understand how to understand image from SAR

PrerequisiteNone

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Course Objective:  This course will familiarize students with spatial database development, geo-processing, linking databases from different sources, implementing spatial analysis methods and models in advance GIS software towards developing applications. The course emphasizes a new emerging application of GIS in Health. Students will also learn customization and automation in GIS and techniques to put the GIS on to Internet and mobile devices.

Learning Outcomes:

  • The students on the completion of this course would be able to:develop database using primary and secondary data
  • use the concept of geospatial analysis and modeling tools in GIS softwares such as ArcGIS, Quantum GIS
  • develop applications in various areas for planning and management
  • create internet bases GIS

Pre-requisite:    AT76.01 Geographic Information Systems

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Course Objective:

This course will familiarize students with advanced topics of spatial database accuracy assessment, spatial modeling, analysis of discrete and continuous entities in space and Spatial Decision Methods. There will be special emphasis on statistical analysis of spatial data. Students will be trained to develop models based on regression analysis and logical analysis.

Learning Outcomes:

  • The students on the completion of this course would be able to:Understand and analyse the discrete and continuous databases
  • Understand the mathematical, statistical, logical and cartographic modeling methods
  • Rank and compute weights for decision making for planning and site suitability
  • Analyse patterns, trends, and hotspots and find spatial auto-correlations in different multi-criteria phenomenon.

Pre-requisite:    AT76.01 Geographic Information Systems

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Course Objective:  The course aims at providing RS/GIS and Computer Mapping Technology (CMT) to students with an insight into both academic knowledge and practical skills at the entry level, and further aims at preparing students for more in-depth training in advanced mapping technology and its application and related service innovation.

Learning Outcomes:

  • The students on the completion of this course would be able to:Understand fundamentals concepts of cartography, Map generalization and map design.
  • Understand new mapping technologies such as GNSS, INS, Laser range scanning, Mobile mapping, UAV, Web mapping.
  • Understand geographical big data analysis.
  • Understand emergency disaster mapping.

Pre-requisite:      None

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Course Objective:    The course aims at providing the way of Data Modeling for Geospatial Information to students with an insight into both academic knowledge and practical skills at the entry level, and further aims at preparing students for more in-depth training in understanding what model and modeling is, what object orientation and UML is, how to describe UML diagram, and what ISO and OGC standard is.

Learning Outcomes:

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

  • Understand introduction of data model and modeling.
  • Understand object orientation and UML, UML diagram.
  • Understand Spatial and Temporal Schema, Application Schema, Metadata Schema, etc.
  • Understand international standards such as ISO.

Pre-requisite:            None

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Course Objective : This course aims at providing students with principles of Web GIS technology which is being implemented in various purposes and used as one of the most common and effective way to share geospatial data to communities. The client and server architecture of Web GIS will be taught as well.  Students will be trained to be able to publish their geospatial data on the Webs and integrate other distributed data sources across network connections.

Learning Outcomes :

It is expected that student will be able to (during and at the end of this course):

  1. Classify the Web GIS architecture
  2. Design the Web GIS application based-on the data specification, functionalities requirement and client platform
  3. Publish vector, raster data and spatial analysis as the standard OGC Web Services and develop Web GIS application
  4. Comprehend and apply OGC Web Services for integrated framework

PrerequisiteNone

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Course Objective : This course aims at providing students with practical utilization of Free and Open Source Software (FOSS) for data manipulation, management and analysis of remote sensing images and GIS data. Students will be trained to able to use and integrate FOSS to make comprehensive system which provides powerful functionalities at very affordable cost.

Learning Outcomes :

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

  • Describe the new opportunities for indigenous Geoinformatics software industries using Free and Open Source Software
  • Conduct data manipulation and data management for pre-processing procedure
  • Perform geospatial analysis using Free and Open Source Software
  • Comprehend and integrate various Free and Open Source Software for geospatial analysis

PrerequisiteNone

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Course Objective:  This course will focus on new trends, concepts and essential technologies used for disease surveillance, hotspot mapping and healthcare planning. It is based on theory and hands on learning methodologies. Current and future satellites for environmental observations specifically related to health applications, mapping of disease locations, diseases’ transmission in tropical and sub-tropical regions, ecological and use of environmental/ social/ economic data for predicting disease, freely available tools and techniques for emergency response will be discussed

Learning Outcomes:

  • The students on the completion of this course would be able to:Apply GIS tools and concept for spatial epidemiology, disease surveillance and hotspot analysis.
  • Find the cause of disease in terms of social, environmental and climatic context and create a risk map of disease.
  • Understand and create health care information system and explain the case studies of several diseases.

Prerequisite: AT76.01 or any course related to GIS

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Course Objective:    The course aims at providing basic introduction and concept of spatial information engineering to students with an insight into both academic knowledge and practical skills at the entry level, and further aims at providing students for more in-depth and advanced technologies, researches, and new treads.

Learning Outcomes:

Students completing the requirements of the course should be able to:

  • Understand basic concept of spatial information engineering such as monitoring and observation method, data analysis and handling, data interoperability.
  • Understand how to process and analyze spatial data, how to utilize it, and how to combine it with the spatial designs and rules of society.
  • Understand how to take a broad look at the overall situation, and how pinpoint what needs to be done with spatial information engineering.
  • Understand how to help to improve society by using spatial information.

Pre-requisite:  None

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Course Objective: The aim of this course is to introduce the principles of the Global Navigation Satellite Systems (GNSS) and to demonstrate its applications to various aspects of location-based services and Earth sciences. GNSS are used now in all of transportation systems including aviation, maritime, railroad and highway. Satellite positioning also plays critical roles in telecommunications, land surveying, law enforcement, emergency response, precision agriculture, mining, finance, and scientific research. As the scope of GNSS has expanded, the systems continue to evolve.

Learning Outcomes:

  • The students on the completion of this course would be able to:Understand fundamental theory and applications of radio navigation with the Multi-GNSS.
  • Understand satellite orbit theory, GNSS signal structure, point positioning with pseudorange, real-time kinematic positioning with carrier phase, dilution of precision, atmospheric effect on GNSS signals.

Pre-requisite: None

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Course Objective :  Aerospace technology is being developed so fast that the latest information as well as general basic knowledge should be provided so as to apply them to the practical application of GIS, Remote Sensing, ICT, and Earth Science. Analysis and design methodology of aerospace systems will be given in this course, which is applicable to other modern engineering field. Also as for the laboratory session a component or a system design will be carried out as a practical case study or mini project to foster student’s ability of challenging to innovative work.

Learning Outcomes :

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

  • Understand Enginnering and Project Management
  • Understand flight mechanics which commonly used in remote sensing field
  • Understand principle of earth observation, such as optical obserbation and SAR.
  • Understand space environment at present

PrerequisiteNone

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Course Objective

In south-east Asia, specialist on GNSS technology is required from industrial and academic field. However, since students use commercial software, they cannot understand GPS technology & science at all. At least, students who want to study GPS technology such as positioning, science at atmosphere, geodesy, and time synchronization should not use commercial software. During this course, by making positioning program by themselves, students can understand GPS technology & science surely.

Learning Outcomes:

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

  • understand GPS data analysis
  • make point positioning program
  • understand science on atmosphere, geodesy, and time synchronization
  • understand mathematics on linear algebra and least square method

After studying this course, students can start GPS research by themselves. For example, real time kinematics, Multi GPS positioning, research on atmosphere, and time synchronization.

PrerequisiteNone

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Course Objective: This course aim to provide the fundamentals of spatial data processing and analysis, including data pre-processing, exploration of data input, visualization and manipulation, Software customization and development. It also addresses the basic of data processing using spatial databases both in database design and implementation.

Learning Outcomes :

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

  • Understand concept and processing steps of data processing.
  • Able to use software to conduct basic data processing and analysis on geospatial data.
  • Publish and visualize output/result on geospatial data visualization tools.
  • Understand concept of big data and data processing for large-scale.
  • Apply data processing techniques to process and analysis spatial trajectory data.

PrerequisiteNone

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