Class Description:

This course aims to unlock the application of GIS and encourage students to explore their own interests in GIS and geospatial modeling. This dynamic program introduces you from basic GIS concepts, to introduction to ArcGIS Pro, and to modern geospatial analysis. 

Topics:

• Introduction to GIS development

• GIS Data Representation & Management

• Coordinate System and Georeferencing

• Vector & Raster Data Analysis

• Model Builder & Geodatabase

• Machine Learning in GIS

Class Description:

“Geospatial data mining” is an advanced-level GIS class. It provides in quo status concepts and the most common issues for students to bridge the gaps between geographic problems and GIS approaches. 

Goal: discover potentially useful, interesting, and non-trivial patterns spatial relationships, or other interesting patterns not explicitly stored in spatial databases, from spatial data-sets (e.g., GPS trajectory of smartphones, calling data records, and online crowdsourced data). 

Topics:

• Python Basics

• Spatial Analysis with arcpy for vector data

• Spatial Analysis with arcpy for raster data

• Machine Learning in ArcGIS Pro

• Toolbox Development with Python

• Deep Learning in Python

• ArcGIS Story Maps

Class Description:

This course introduces GIS programming to advanced GIS users. The class material covers automating GIS tasks with Modelbuilder, customization of GIS applications and user interface, program coding of GIS functions and tools, script writing to automate GIS processes, and fundamental spatial data structures and algorithms. The coursed is designed to work with Modelbuider and Python - the programming language supported by ArcGIS. Students will also have the opportunity to understand legacy programming techniques in GIS such as VBA and VBA for ArcObjects, as well as to explore newer technology. 

Topics:

• Introduction to Python

• Fundamental spatial data structures and algorithms

• Spatial analysis tools in Arcpy

• GIS customization for the interface and application

• Advanced operations: Integrating Python programming with ArcGIS projects.

• ArcGIS Online: StoryMaps

Class Description:

Introduction to GIS is an introductory level GIS class. It does not require students to have previous GIS experience. The class provides basic concepts and mostly hands-on experience for students to bridge geographic problems and GIS approaches. The class uses ESRI's ArcGIS as the major software and covers step-by-step GIS practice in the real world including working with public domain data, getting data into GIS, creating GIS database, performing spatial analysis with vector and raster data, georeferencing data, building GIS models, making maps and layouts, and other fundamental GIS topics.

Topics:

• GIS History and Research Topics

• The Geo-relational Database Model

• Spatial Data Exploration

• Vector Data Analysis

• Raster Data Analysis

• Data Display and Cartographic Layout

• Data Source and Data Entry

• Map Projections, Datum and Spheroids

• Georeferencing

• Spatial Data Models

• Data Standards and Meta Data

Class Description:

Students use basic and some advanced-level spatial analysis, geostatistical, and machine learning methods to visualize, understand and solve health-related issues (such as infectious diseases, air pollution, noise, etc.).

Topics:

• Health Mapping

• Spatial Clustering

• Environmental Hazards

• Infectious Diseases

• Health Service

• Health Disparities

• Community Health

• GIScience & Health Research

Course Requirements:

This course uses lectures and hands-on experience in learning the techniques of interpreting and mapping biological, physical, and cultural features of the Earth, as well as making accurate measurements, from aerial images (known as photogrammetry) acquired from cameras and sensors mounted on unmanned aerial systems (UAS, also known as drones), airplanes and satellite platforms.

Topics:

• Introduction to remote sensing, electromagnetic spectrum, and camera types

• Geometry of vertical aerial photographs: Displacements and height measurements 

• Stereoscopic vision and stereo imagery

• Structure from Motion (SfM) for 3D Image Models

• Small format aerial photographs and unmanned aerial systems (UAS)

• National programs for the acquisition of aerial photographs

• Map projections and ground coordinate systems

• Global Positioning System (GPS)

• Principles of image interpretation