GGS 650 Course Roadmap
This is an interactive banner. Click a pin to view the details and click X to close the window.
Module 1
Module 2
Module 11
Module 12
Module 3
Module 9
Module 10
You arehere
Module 4
Module 13
Module 8
Module 5
Module 14
Module 7
Module 15
Module 6
MID-TERM EXAM
What are you going to learn?
Module 2 shifts you from writing short scripts to designing programs that are organized, reusable, and easier to expand. You will model vector features as Python objects, then strengthen your code by reusing shared behavior through inheritance and modular structure. Along the way, you will reinforce the core Python building blocks—data types and control flow—so your programs behave consistently and produce reliable results.
What are you going to learn?
Module 12 expands your GIS skills into 3D by focusing on how surfaces are represented, transformed, and analyzed. You will connect DEMs, TINs, and point clouds to real terrain use cases, then use ArcPy to convert between models and compute meaningful attributes such as slope, aspect, and orientation. You will also verify your outputs and share evidence of results, while strengthening your technical perspective by summarizing a scholarly source on 3D surface modeling or 3D data analysis.
What are you going to learn?
Module 14 steps beyond core workflows to explore how modern GIS handles time, scale, and connected systems. You will use real-world examples to make sense of spatiotemporal data structures and the computational thinking behind them, while also connecting recent GIS algorithms and modeling approaches to current applications. You will also examine how network-based GIS platforms deliver geospatial capabilities through distributed services and systems.
What are you going to learn?
Module 6 takes you behind the scenes of a common GIS format so you can work with shapefiles at the binary level instead of treating them as a black box. You will explore how geometry and indexing are stored, then write Python code that reads headers, locates records, and converts raw bytes into usable coordinates. By the end, you will be able to extract point and polyline features and render them in your own Tkinter-based map display.
What are you going to learn?
Module 3 deepens your comfort with Python by focusing on details that make code easier to write, read, and reason about. You will explore how Python handles text and data types, then use small class-based examples to observe how object behavior changes based on design choices. You will also start taking advantage of Python’s built-in modules to compute results efficiently instead of reinventing common functionality.
What are you going to learn?
Module 7 helps you get comfortable working in a full programming setup so you can write, run, and troubleshoot GIS code efficiently. You will configure a development environment, practice executing shapefile workflows in a modern editor, and then step into the MiniGIS codebase to see how a larger project is organized. By adjusting main.py, you will learn how imports, paths, and data loading fit together to produce reliable visual outputs.
What are you going to learn?
Module 4 helps you write Python programs that can handle real inputs and real-world messiness. You will combine decisions and repetition to solve GIS-style problems, then move beyond the console by reading and writing data from text files. You will also make your code more dependable by anticipating errors and handling them cleanly instead of letting your program crash.
What are you going to learn?
Module 8 focuses on the math and logic that sit underneath everyday vector GIS tools. You will compute key geometric properties—distance, length, area, and centroid—directly from coordinates, then apply intersection logic to detect where features meet. You will also inspect how an intersection algorithm makes decisions step by step, so you can reason about correctness and handle tricky edge cases.
What are you going to learn?
Module 10 introduces raster analysis as a way to work with continuous geographic phenomena and large gridded datasets. You will explore how common raster operations turn raw values into useful insights, then make practical choices about storage, formats, and compression to keep datasets manageable. You will also focus on communicating results clearly through effective symbology and apply ArcPy to carry out a complete reclassification workflow.
What are we going to learn?
Module 1 sets the baseline for everything you will build in this course by connecting “how computers work” to “how GIS problems get solved with code.” You will get comfortable with the language and vocabulary of GIS, then start writing and testing short Python programs that produce correct results. You will also begin thinking like a software designer by sketching simple UML models and turning them into working classes that represent geospatial objects.
What are you going to do?
After Module 6, you will complete the mid-term exam, which checks your ability to apply the Python and GIS programming skills you have built so far. You will use code-based problem solving to demonstrate that you can work with vector data concepts and workflows accurately and independently.
What are you going to learn?
Module 5 brings your code to life by turning raw coordinates into map-ready visuals. You will think through the full workflow—from preparing GIS data to choosing how it should be displayed—while learning how coordinate systems affect what you see on a map. You will also build a simple Tkinter interface that reads inputs and draws vector features, reinforcing how files, classes, and visualization steps fit together in one program.
What are you going to learn?
Module 11 introduces network analysis as a practical way to model movement, connectivity, and access in GIS. You will describe how real systems become nodes and edges, then use that structure to solve routing problems such as shortest paths, multi-stop trips, and service area questions. The module culminates in a delivery scheduling scenario where you run network analysis workflows using ArcPy and Python.
What are you going to learn?
Module 9 moves your Python skills into ArcGIS so you can automate GIS work the way it is done in professional settings. You will build repeatable geoprocessing workflows, work directly with feature attributes using ArcPy data access, and package your scripts as ArcGIS tools that accept parameters and produce consistent outputs. You will also practice validating results so your automated workflows are not just fast, but trustworthy.
What are you going to learn?
Module 13 focuses on making GIS workflows faster and more scalable when data and processing demands grow. You will diagnose why performance slows down—across storage, memory, rendering, and workflow design—then connect those bottlenecks to practical optimization strategies like buffering, multithreading, and spatial indexing. You will also apply these techniques in MiniGIS to see how targeted changes improve responsiveness and runtime.
What are you going to do?
Module 15 is where you complete and showcase your course project by refining your workflow, strengthening your analysis, and producing a clear final set of results. You will bring your code, outputs, and visualizations together into a polished submission and communicate what you built, why you made key choices, and what your results show.
GGS 650 Course Roadmap_M8
Debasmita Giri Jana
Created on March 19, 2026
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Transcript
GGS 650 Course Roadmap
This is an interactive banner. Click a pin to view the details and click X to close the window.
Module 1
Module 2
Module 11
Module 12
Module 3
Module 9
Module 10
You arehere
Module 4
Module 13
Module 8
Module 5
Module 14
Module 7
Module 15
Module 6
MID-TERM EXAM
What are you going to learn?
Module 2 shifts you from writing short scripts to designing programs that are organized, reusable, and easier to expand. You will model vector features as Python objects, then strengthen your code by reusing shared behavior through inheritance and modular structure. Along the way, you will reinforce the core Python building blocks—data types and control flow—so your programs behave consistently and produce reliable results.
What are you going to learn?
Module 12 expands your GIS skills into 3D by focusing on how surfaces are represented, transformed, and analyzed. You will connect DEMs, TINs, and point clouds to real terrain use cases, then use ArcPy to convert between models and compute meaningful attributes such as slope, aspect, and orientation. You will also verify your outputs and share evidence of results, while strengthening your technical perspective by summarizing a scholarly source on 3D surface modeling or 3D data analysis.
What are you going to learn?
Module 14 steps beyond core workflows to explore how modern GIS handles time, scale, and connected systems. You will use real-world examples to make sense of spatiotemporal data structures and the computational thinking behind them, while also connecting recent GIS algorithms and modeling approaches to current applications. You will also examine how network-based GIS platforms deliver geospatial capabilities through distributed services and systems.
What are you going to learn?
Module 6 takes you behind the scenes of a common GIS format so you can work with shapefiles at the binary level instead of treating them as a black box. You will explore how geometry and indexing are stored, then write Python code that reads headers, locates records, and converts raw bytes into usable coordinates. By the end, you will be able to extract point and polyline features and render them in your own Tkinter-based map display.
What are you going to learn?
Module 3 deepens your comfort with Python by focusing on details that make code easier to write, read, and reason about. You will explore how Python handles text and data types, then use small class-based examples to observe how object behavior changes based on design choices. You will also start taking advantage of Python’s built-in modules to compute results efficiently instead of reinventing common functionality.
What are you going to learn?
Module 7 helps you get comfortable working in a full programming setup so you can write, run, and troubleshoot GIS code efficiently. You will configure a development environment, practice executing shapefile workflows in a modern editor, and then step into the MiniGIS codebase to see how a larger project is organized. By adjusting main.py, you will learn how imports, paths, and data loading fit together to produce reliable visual outputs.
What are you going to learn?
Module 4 helps you write Python programs that can handle real inputs and real-world messiness. You will combine decisions and repetition to solve GIS-style problems, then move beyond the console by reading and writing data from text files. You will also make your code more dependable by anticipating errors and handling them cleanly instead of letting your program crash.
What are you going to learn?
Module 8 focuses on the math and logic that sit underneath everyday vector GIS tools. You will compute key geometric properties—distance, length, area, and centroid—directly from coordinates, then apply intersection logic to detect where features meet. You will also inspect how an intersection algorithm makes decisions step by step, so you can reason about correctness and handle tricky edge cases.
What are you going to learn?
Module 10 introduces raster analysis as a way to work with continuous geographic phenomena and large gridded datasets. You will explore how common raster operations turn raw values into useful insights, then make practical choices about storage, formats, and compression to keep datasets manageable. You will also focus on communicating results clearly through effective symbology and apply ArcPy to carry out a complete reclassification workflow.
What are we going to learn?
Module 1 sets the baseline for everything you will build in this course by connecting “how computers work” to “how GIS problems get solved with code.” You will get comfortable with the language and vocabulary of GIS, then start writing and testing short Python programs that produce correct results. You will also begin thinking like a software designer by sketching simple UML models and turning them into working classes that represent geospatial objects.
What are you going to do?
After Module 6, you will complete the mid-term exam, which checks your ability to apply the Python and GIS programming skills you have built so far. You will use code-based problem solving to demonstrate that you can work with vector data concepts and workflows accurately and independently.
What are you going to learn?
Module 5 brings your code to life by turning raw coordinates into map-ready visuals. You will think through the full workflow—from preparing GIS data to choosing how it should be displayed—while learning how coordinate systems affect what you see on a map. You will also build a simple Tkinter interface that reads inputs and draws vector features, reinforcing how files, classes, and visualization steps fit together in one program.
What are you going to learn?
Module 11 introduces network analysis as a practical way to model movement, connectivity, and access in GIS. You will describe how real systems become nodes and edges, then use that structure to solve routing problems such as shortest paths, multi-stop trips, and service area questions. The module culminates in a delivery scheduling scenario where you run network analysis workflows using ArcPy and Python.
What are you going to learn?
Module 9 moves your Python skills into ArcGIS so you can automate GIS work the way it is done in professional settings. You will build repeatable geoprocessing workflows, work directly with feature attributes using ArcPy data access, and package your scripts as ArcGIS tools that accept parameters and produce consistent outputs. You will also practice validating results so your automated workflows are not just fast, but trustworthy.
What are you going to learn?
Module 13 focuses on making GIS workflows faster and more scalable when data and processing demands grow. You will diagnose why performance slows down—across storage, memory, rendering, and workflow design—then connect those bottlenecks to practical optimization strategies like buffering, multithreading, and spatial indexing. You will also apply these techniques in MiniGIS to see how targeted changes improve responsiveness and runtime.
What are you going to do?
Module 15 is where you complete and showcase your course project by refining your workflow, strengthening your analysis, and producing a clear final set of results. You will bring your code, outputs, and visualizations together into a polished submission and communicate what you built, why you made key choices, and what your results show.