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The "Geospatial Information Technology Essentials" course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware requirements, data models, and attribute data types. Module Two delves deeper into GIS concepts, focusing on mapping essentials, data conversion techniques, and georeferencing. In Module Three, learners explore GIS database management, including basics of databases, RDBMS, SQL, and advanced geodatabase management. Module Four covers spatial analysis using GIS, with practical demonstrations of techniques like catchment area delineation, overlay analysis, and viewshed analysis. Module Five provides insights into geospatial IT, including enterprise GIS, web and mobile GIS technologies, and practical case studies. In Module Six, system integrations and decision support are discussed, with a focus on command and control center case studies, decision support systems, and open-source GIS projects. Module Seven introduces future trends in geospatial technologies, highlighting advancements in survey and mapping technologies, spatial analytics, and geointelligence. Join us on this journey into Geospatial Information Technology and equip yourself with the essential skills and knowledge to excel in this dynamic field!

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The "Geospatial Information Technology Essentials" course offers a multi-disciplinary approach, integrating key aspects of both Geospatial and Information Technology. Organized into seven comprehensive modules, it provides a thorough learning experience. Module One introduces the fundamentals of Geographic Information Systems (GIS), covering its applications, hardware requirements, data models, and attribute data types. Module Two delves deeper into GIS concepts, focusing on mapping essentials, data conversion techniques, and georeferencing. In Module Three, learners explore GIS database management, including basics of databases, RDBMS, SQL, and advanced geodatabase management. Module Four covers spatial analysis using GIS, with practical demonstrations of techniques like catchment area delineation, overlay analysis, and viewshed analysis. Module Five provides insights into geospatial IT, including enterprise GIS, web and mobile GIS technologies, and practical case studies. In Module Six, system integrations and decision support are discussed, with a focus on command and control center case studies, decision support systems, and open-source GIS projects. Module Seven introduces future trends in geospatial technologies, highlighting advancements in survey and mapping technologies, spatial analytics, and geointelligence. Join us on this journey into Geospatial Information Technology and equip yourself with the essential skills and knowledge to excel in this dynamic field!

Target Learners:

• Undergraduate students of Civil Engineering

• Post-Graduate Students in Geoinformatics/ Remote Sensing/ Geospatial Engineering.

• Practicing Engineers involved in geospatial applications in construction.

• Faculties in Civil, Geospatial and Environmental Studies.

• Professionals in GIS and Remote Sensing fields

• Engineers and project managers involved in spatial data analysis

Prerequisites:

• Basic understanding of GIS principles and spatial data

• Familiarity with computer operations and software usage

• Software: ArcGIS

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What's inside

Syllabus

Geographic Information System -Part 1
This module introduces the fundamentals of Geographic Information Systems (GIS), covering its basic concepts and applications. Learners will explore GIS in action, the hardware used for GIS implementations, and different GIS data models. The module also includes discussions on digital elevation models (DEM), Triangular Irregular Networks (TIN), attribute data types, and their relevance in GIS applications.
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Geographic Information System -Part 2
This module focuses on mapping essentials and practical GIS data conversion techniques. Learners will understand the components and types of maps, and gain hands-on experience in converting data from various formats like Excel and CAD to GIS-compatible formats. The module also covers georeferencing techniques for integrating raster data into GIS applications.
GIS Database Management
This module provides a comprehensive overview of GIS database management principles. Learners will explore foundational concepts such as database basics, relational database management systems (RDBMS), and Structured Query Language (SQL) as applied to GIS databases. Advanced topics include the creation and configuration of geodatabases, enterprise geodatabases, and their management in GIS environments.
Spatial Analysis using GIS
This module explores advanced spatial analysis techniques using Geographic Information Systems (GIS). Learners will delve into methods such as catchment area delineation, overlay analysis, cluster analysis, hotspot analysis, and viewshed analysis. Each technique is demonstrated through practical examples to illustrate their application in spatial data analysis.
GeoSpatial Information Technology - Part 1
This module provides an introduction to Geospatial Information Technology (Geospatial IT) and its components. Learners will explore enterprise GIS systems, web GIS technologies including essentials and application overview, mobile GIS technologies along with their technical stack, and various case studies showcasing the practical applications of Geospatial IT in scenarios like emergency response.
GeoSpatial Information Technology - Part 2
This module focuses on system integrations and decision support in Geospatial IT. Learners will explore methods for integrating devices into GIS systems, case studies on command & control centers, and the implementation of decision support systems. The module also covers progress and spatial dashboards, highlighting their role in monitoring and reporting spatial data. Additionally, the module introduces open-source GIS technologies and guides learners through creating their own web applications using open-source tools.
Future Trends of GeoSpatial Technologies
This module explores the evolving landscape of geospatial technologies and their future trends. Learners will examine the benefits realized from geospatial technologies through case studies, advancements in modern surveying and mapping technologies, and emerging trends in spatial analytics and geo-intelligence. The module concludes by discussing future directions and the potential impact of geospatial technologies on various sectors.

Good to know

Know what's good
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Integrates key aspects of both Geospatial and Information Technology, which are essential for professionals in civil engineering and related fields
Covers GIS database management, including RDBMS and SQL, which are crucial for managing and analyzing geospatial data effectively
Explores spatial analysis techniques like catchment area delineation and overlay analysis, which are fundamental for solving real-world spatial problems
Introduces enterprise GIS, web GIS, and mobile GIS technologies, which are increasingly important in modern geospatial applications and workflows
Requires familiarity with ArcGIS, which may pose a barrier to entry for learners who do not have prior experience with this proprietary software
Explores future trends in geospatial technologies, including advancements in survey and mapping technologies, spatial analytics, and geointelligence

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Geospatial Information Technology Essentials with these activities:
Review GIS Fundamentals
Reinforce your understanding of core GIS principles, data models, and applications to prepare for more advanced topics.
Show steps
  • Review the definition of GIS and its components.
  • Study different GIS data models (raster, vector).
  • Practice identifying real-world GIS applications.
Read 'GIS for Dummies'
Gain a foundational understanding of GIS concepts and terminology before diving into the course material.
Show steps
  • Obtain a copy of 'GIS for Dummies'.
  • Read the chapters covering basic GIS concepts and data types.
  • Take notes on key terms and definitions.
Practice Georeferencing Exercises
Improve your ability to accurately align spatial data by practicing georeferencing techniques.
Show steps
  • Download sample raster images and control points.
  • Use ArcGIS to georeference the images.
  • Evaluate the accuracy of the georeferencing process.
Four other activities
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Create a GIS Data Conversion Tutorial
Solidify your understanding of data conversion by creating a tutorial that explains the process.
Browse courses on Data Conversion
Show steps
  • Choose a specific data conversion scenario (e.g., CAD to GIS).
  • Document the steps involved in the conversion process.
  • Create a video or written tutorial explaining the steps.
Develop a Spatial Analysis Project
Apply spatial analysis techniques learned in the course to a real-world problem.
Browse courses on Spatial Analysis
Show steps
  • Identify a spatial problem or question.
  • Gather relevant spatial data.
  • Perform spatial analysis using ArcGIS.
  • Interpret and present the results.
Read 'Mastering Geospatial Analysis with Python'
Expand your knowledge of spatial analysis by exploring Python-based geospatial tools and techniques.
Show steps
  • Obtain a copy of 'Mastering Geospatial Analysis with Python'.
  • Read the chapters covering spatial analysis techniques.
  • Experiment with the Python code examples.
Contribute to an Open Source GIS Project
Deepen your understanding of GIS by contributing to an open-source project.
Browse courses on Open Source GIS
Show steps
  • Identify an open-source GIS project (e.g., QGIS).
  • Explore the project's codebase and documentation.
  • Contribute by fixing bugs, writing documentation, or adding new features.

Career center

Learners who complete Geospatial Information Technology Essentials will develop knowledge and skills that may be useful to these careers:
GIS Analyst
A GIS Analyst uses Geographic Information Systems to analyze spatial data and create maps for various purposes. This role often involves data collection, database management, spatial analysis, and report generation. The 'Geospatial Information Technology Essentials' course helps in developing the foundational skills in GIS, mapping, and database management using tools like ArcGIS, which are essential for a GIS Analyst. The module on spatial analysis, including techniques like catchment area delineation and overlay analysis, directly prepares learners for the types of analysis they will perform daily. Furthermore, the course covers enterprise GIS and web GIS which are frequently used by GIS Analysts.
Geospatial Technician
A Geospatial Technician supports geospatial projects by collecting, processing, and analyzing spatial data using GIS software. The 'Geospatial Information Technology Essentials' course assists in developing essential skills in how GIS works, mapping, and database management, all of which are important for a Geospatial Technician. The course teaches geodatabase management with RDBMS and SQL, necessary for data management in GIS. The course modules in spatial analysis and integration of technologies make this a suitable course for an aspiring Geospatial Technician. This role is an entry into the geospatial field.
Location Intelligence Analyst
A Location Intelligence Analyst uses spatial data and GIS to derive insights for various business applications, such as market analysis and site selection. The 'Geospatial Information Technology Essentials' course is a good starting point for this career, introducing the concepts and tools used. The course teaches fundamental principles of GIS, spatial analysis, and database management needed in this field. Furthermore, the course's modules on enterprise GIS, web GIS, and mobile GIS are useful in this role.
Cartographer
A Cartographer designs and creates maps, which involves understanding the principles of mapmaking, data conversion, and spatial representation. The 'Geospatial Information Technology Essentials' course introduces mapping essentials and data conversion techniques, including converting data from Excel and CAD, vital for a Cartographer. The course's focus on georeferencing techniques helps aspiring cartographers integrate raster data into map designs. The knowledge of different data models that the course provides helps a cartographer represent geographic data. This makes this course a good start to a cartography career.
Urban Planner
An Urban Planner develops plans for the growth and development of cities and communities, often using GIS to visualize and analyze spatial data. The 'Geospatial Information Technology Essentials' course teaches important concepts related to GIS, mapping, and spatial analysis, which are useful for an aspiring urban planner. By leveraging techniques in catchment area delineation and overlay analysis, an urban planner can assess land suitability, environmental impacts, and infrastructure capacity. The course's instruction in enterprise GIS and web GIS technologies can be leveraged to create planning portals that stakeholders can use to understand spatial plans.
Environmental Analyst
An Environmental Analyst assesses the impact of human activities on the environment, often using GIS to map and analyze environmental data. The 'Geospatial Information Technology Essentials' course includes an introduction to GIS basics, spatial analysis, and database management skills that are applicable to the environmental field. The course's focus on spatial analysis, like catchment area delineation, can aid in assessing water quality. Understanding geodatabases using RDBMS and SQL as well as enterprise GIS will assist in the management of environmental data.
Remote Sensing Analyst
A Remote Sensing Analyst interprets and analyzes data collected from remote sensors such as satellites and aircraft, helping derive information about the Earth's surface. While this course does not explicitly teach remote sensing data, the 'Geospatial Information Technology Essentials' course equips learners with the GIS knowledge necessary to process and analyze remotely sensed data. The spatial analysis and database management skills are useful in integrating remote sensing data into GIS projects. The course's content on geospatial database management using RDBMS and SQL would be beneficial for storing and managing large remote sensing datasets.
Resource Analyst
A Resource Analyst evaluates the use and availability of natural resources such as water, timber, and minerals and often uses GIS to analyze locations and spatial data related to resources. The 'Geospatial Information Technology Essentials' course can help build a foundational knowledge of GIS, mapping, and spatial analysis. The course's instruction in catchment area delineation and overlay analysis, are methods used in this field. Its spatial database and enterprise GIS modules assist with data management and distribution. This is a strong start for resource analysts who do not already have a background in GIS.
Civil Engineer
A Civil Engineer designs, builds, and maintains infrastructure projects such as roads, bridges, and buildings. The 'Geospatial Information Technology Essentials' course may be useful for Civil Engineers involved in geospatial applications. The course covers foundational principles of GIS and spatial analysis useful in construction projects. The knowledge of GIS data, mapping techniques, and spatial analysis can be leveraged for site planning, infrastructure design, and project management. The course also discusses future trends in geospatial technologies, relevant to many Civil Engineers.
Emergency Management Specialist
An Emergency Management Specialist develops and implements plans for disaster response and recovery. The 'Geospatial Information Technology Essentials' course can be useful by providing the knowledge necessary for using GIS for emergency response planning and management. The course’s discussion of web and mobile GIS technologies can help with real-time mapping and situational awareness. Additionally, the course discusses case studies of command and control centers, which is applicable to emergency management.
Geospatial Data Scientist
Geospatial Data Scientists apply data science techniques to analyze and visualize geospatial data, often using programming languages such as Python or R. The 'Geospatial Information Technology Essentials' course may be useful as it helps build a strong foundation in GIS principles, spatial analysis, and database management. While this course does not teach data science, the skills of managing geodatabases, conducting spatial analysis, and working with GIS software prepare learners to apply data science techniques to geospatial data. The course’s focus on spatial analytics provides an introduction to key concepts that will be useful in this role.
Transportation Planner
A Transportation Planner develops plans to improve the efficiency and safety of transportation systems, often using GIS to model traffic patterns. The 'Geospatial Information Technology Essentials' course provides a helpful foundation by introducing GIS concepts and spatial analysis techniques. The course's spatial analysis methods and geodatabase concepts can be directly applied to transport network analysis and management. The course's content on web and mobile GIS can be helpful with public transit planning and analysis.
Surveyor
A Surveyor measures and maps the Earth's surface to provide precise spatial data for construction, land management, and other applications. The 'Geospatial Information Technology Essentials' course may be useful, but only as a foundational piece of knowledge. The course introduces foundational principles of GIS, mapping, and data management, all of which are useful for understanding the tools that are used in the field. The future trends module, which discusses modern surveying and mapping technologies, directly connects with the work that a surveyor does.
GIS Application Developer
A GIS Application Developer creates software applications that integrate GIS functionalities and spatial data. While the course does not teach programming, the 'Geospatial Information Technology Essentials' course provides essential background knowledge in GIS principles, spatial analysis, and database management. The course covers crucial concepts in GIS software, geodatabases, and the integration of GIS with web and mobile technologies. The course's introduction to enterprise GIS and open source GIS can expose a learner to the kinds of systems that they will often have to work with as a GIS application developer.
Geographic Information Scientist
A Geographic Information Scientist conducts research and develops new methods for collecting, analyzing, and visualizing geographic data, often requiring an advanced degree (master's or phd). The 'Geospatial Information Technology Essentials' course may be useful for aspiring Geographic Information Scientists. The course introduces foundational GIS concepts, spatial analysis, and geodatabase management. The course also introduces future trends in geospatial technology, which is beneficial for planning a research agenda. Understanding both the applications and theoretical bases of GIS provide a solid beginning for a research career

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Geospatial Information Technology Essentials.
Provides a comprehensive guide to performing geospatial analysis using Python. It covers a wide range of topics, including data manipulation, spatial statistics, and geoprocessing. While the course focuses on ArcGIS, this book expands on the concepts by introducing Python-based alternatives. It is particularly useful for those looking to automate geospatial tasks or integrate GIS with other data science workflows. This book is more valuable as additional reading than it is as a current reference.
Provides a broad overview of GIS concepts and applications, making it an excellent starting point for beginners. It covers essential topics such as data acquisition, spatial analysis, and map creation in an accessible manner. While not a deep dive into any specific area, it serves as a useful reference for understanding the fundamental principles of GIS. It is particularly helpful for those with limited prior experience in geospatial technologies.

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