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AKTU Geographical Information System (HTGI701) Syllabus PDF – B.Tech Honors Degree in Geoinformatics
Geographical Information System HTGI701
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Official AKTU syllabus of Geographical Information System (HTGI701) for B.Tech Honors Degree in Geoinformatics – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Geographical Information System
Download PDFHTGI701 · 3 credits · L-T-P 3-0-0
Course Outcomes: After completion of this course the student will be able to:
CO1. Explore the integration of GIS with Geospatial AI for enhanced spatial analysis.
CO2. Apply GIS and GPS technology for spatial data acquisition, effective management of data for the projects.
CO3. Apply skills in cartography, spatial analysis and geospatial modelling.
CO4. Integrate machine learning models with GIS data, with a focus on Artificial Neural Network (ANN) analysis.
CO5. Apply deep learning techniques to data acquired from Remote Sensing, GPS, and RFID.
Course Content
| Unit-1 | INTRODUCTION TO GIS : Overview of GIS (Geographic Information System), The Four M’s: Measurement, Mapping, Monitoring and. Modeling, component of GIS, Topology, Data Models, Data structure, Errors in GIS and GIS applications, Introduction to Geospatial Artificial Intelligence and its role in enhancing spatial analysis, Integration of GIS and AI technologies, Importance of spatial data in decision-making. | 8 |
| Unit-2 | GEOGRAPHIC DATA MODELLING AND GIS DATA COLLECTION: Introduction, GIS data Models, Example of water-facility object data model, Geographic data modelling in practice, primary geographic data capture, secondary geographic data capture, data transfer, contributing attribute data, managing a data collection project, GPS (Global Positioning System) and its role in spatial data acquisition. | 8 |
| Unit-3 | GEOSPATIAL ANALYSIS AND MODELING: Maps and cartography, principles of map designs, geo visualization and spatial query, geo visualization and transformation, Spatial analysis, Spatial analysis techniques in GIS, Introduction to geospatial modelling, Type of models, Technology for modelling, multicriteria methods, Accuracy and Validity: testing the model, Applications of geospatial modeling in AI, Case studies and practical examples. | 8 |
| Unit-4 | MACHINE LEARNING FOR GEOSPATIAL DATA: Basics of machine learning and its relevance to geospatial data, Supervised and unsupervised learning algorithms in geospatial applications, Integration of machine learning models with GIS data, Artificial neural network (ANN) analysis. | 8 |
| Unit-5 | DEEP LEARNING TECHNIQUES FOR GEOSPATIAL DATA ANALYSIS: A brief overview of deep learning algorithms, Geospatial Analysis: a Data Science Perspective, Deep-learning techniques for Remote Sensing data analytics tasks, Deep-learning techniques for GPS data analytics, Introduction to RFID. | 8 |
Reference Books
- Higher Surveying by B.C. Punmia, Ashok Kumar Jain, Arun Kumar Jain, Sixteenth Edition, 2022, Laxmi Publications.
- Geographic Information Systems and Science by Paul A. Longley, Michael F. Goodchild , David J. Maguire , David W. Rhind, Second Edition, 2005, Wiley.
- Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications. Germany, Springer International Publishing, 2020.
- Raschka, Sebastian, and Mirjalili, Vahid. Python Machine Learning. United Kingdom, Packt Publishing, 2017.
- Advances in geo computation and geospatial artificial intelligence (Geo AI) for mapping: https://www.sciencedirect.com/science/article/pii/S156984322300122X
- Geospatial Data Analytics- A Deep Learning Perspective: https://scholar.archive.org/work/wvrrgpeb3rgc3nr5rw2adskct4/access/wayback/https://files.osf.io/v1/resources/ xjf6z/providers/osfstorage/5ebeb4b7b9daae000a504450?action=download&direct&version=2
- Data Models for GIS: https://saylordotorg.github.io/text_essentials-of-geographic-information-systems/s08-data-models-for-gis.html
- GIS Data Models: https://transportgeography.org/contents/methods/geographic-information-systems-transportation/gis-data-models/
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