Certificate Program in Geographic Information Systems at San Francisco State University
Course Descriptions
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    Core Curriculum
Geog 9003: Introduction to Geographic Information Systems (GIS) (2 days, 1.6 CEU)
Prerequisites: Familiarity with Windows 2000 operating systems highly recommended.
Course Description:
This course is an introduction to the concepts and uses of GIS. Lecture topics include history of GIS, GIS data structures and sources of data, GIS tools, vendors and software, applications, and resources. Exercises include spatial data display and query, map generation, and simple spatial analysis using ArcGIS software.
Class format: Approximately 50% lecture and 50% lab exercise.
Instructor:Andy Richardson

Geog 9022: Data Acquisition for GIS (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003).
Course Description:
This course explores various methods of capturing data for use in GIS, including digitizing from maps, digital photos, and satellite imagery; locating and reformatting existing digital data, Global Positioning Systems (GPS), scanning, image classification and address matching. Topics will include methods of attributing and concepts of data conversion, georeferencing, projections, and coordinate systems.
Class format:
Approximately 50% lecture, 50% software applications.
Instructor: Andy Richardson

Geog 9015: Database Management for GIS (2 days, 1.6 CEU)
Prerequisite: Introduction to Geographic Information Systems (Geog 9003).
Course Description:
This course focuses on the planning, construction and administration of a GIS database, including both spatial and attribute data. The lecture provides a conceptual background, as well as practical guidelines, and is reinforced with exercises using both ESRI software and traditional database design techniques. Topics include data requirements analysis; relational database design; attribute and entity definitions; table normalization; table creation and population; query optimization; and data integration.
Class format:
Approximately 50% lecture, 50% software application.
Instructor: Bob Earle

Geog 9009: Cartographic Design for GIS (2 days 1.6 CEU)
Prerequisites:Introduction to Geographic Information Systems (Geog 9003).
Course Description:
This course is a discussion and demonstration of the essential cartographic principles and practices used for designing maps. The focus is on techniques for creating maps that effectively communicate single/multi-variate qualitative and quantitative spatial data to the viewer. Through numerous hands-on exercises, participants will have the opportunity to use most of the map production tools provided with ESRI software products to prepare raw data and produce a variety of thematic maps.
Class format: Approximately 50% lecture, 50% software application.
Instructor: Tom Lupo

Geog 9004: Managing a Geographic Information System Project (2 days, 1.6 CEU)
Prerequisites: None. Familiarity with basic GIS concepts highly recommended.
Course Description:
Designed for managers who may be new to supervising GIS projects. Topics covered include defining the scope of a project; data acquisition; project planning; project budget estimation; staffing; pilot studies; cooperative projects. Case studies will be presented.
Instructor: Jeff Milliken

    Electives
Geog 9008: Raster GIS and Analysis (2 days, 1.6 CEU)
Prerequisite: familiarity with Windows 2000 operating system highly recommended.
Course Description: Topics in this course include the use of raster GIS tools for natural resource modeling and environmental analysis; the raster structure and its advantages and limitations; appropriate data and procedures; simple raster surface modeling and image integration; map algebra concepts using ARC/INFO GRID or ArcGIS Spatial Analyst; proximity and dispersion modeling; and cost surfaces.
Class Format: Approximately 50% lecture, 50% software application.
Instructor: Jerry Davis

Geog 9010: Using GPS for GIS (2 days, 1.6 CEU)
Prerequisites: familiarity with either ARC/INFO, ArcView, or ArcGIS highly recommended.
Course Description: This class explores methods for incorporating field research data in a GIS project. Topics include field data collection with GPS; data preprocessing; conversion methods for use with Arc/Info and ArcView. GPS applications in natural and cultural resource inventories, transportation analyses, ecological studies, and atmospheric and hydrologic process studies are discussed. Dress appropriately for outdoor weather.
Class Format: Approximately 50% lecture, 50% application.
Instructor: Jerry Davis

Geog 9011: Remote Sensing in GIS, Part 1 (2 days, 1.6 CEU)
Prerequisites: None.
Course Description: This course covers basic concepts and procedures used in remote-sensed image processing. Emphasis is placed on use of digital satellite image data. The course is designed for beginning level users and consists of lecture, examples, and introductory labs. Topics include: sensor properties, the electromagnetic spectrum, image analysis and classification, image transformations and enhancement, applications, integration with GIS, accuracy assessment, and image processing softwares.
Class Format: Approximately 50% lecture, 50% application.
Instructor: Jeff Milliken

Geog 9019: Remote Sensing in GIS, Part II (2 days, 1.6 CEU)
Prerequisites: Remote Sensing in GIS, Part 1 (Geog 9011), or equivalent.
Course Description: This course expands on the concepts and techniques presented in Remote Sensing in GIS, Part I. Students will utilize ERDAS Imagine software and Definiens Professional (Ecognition) software. Labs include: basic image manipulation such as georeferencing, multispectral display, and subsetting; supervised and unsupervised image classification procedures; and object-based image classification.
Class format: Approximately 20% lecture, 80% application.
Instructor: Jeff Milliken

Geog 9013: Spatial Analysis and Modeling (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003) or equivalent.
Course Description: This course will focus on many of the vector-based analytical tools and techniques available within ArcGIS, as well as ways of linking external analytical tools (models, statistical programs) to ArcGIS. Case studies will be used to illustrate more complex examples.
Class Format: Approximately 65% lecture, 35% application.
Instructor: Andy Richardson

Geog 9021: Introduction to Programming ArcGIS (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003) or equivalent.
Course Description: Introduction to programming ArcGIS using the Geoprocessing Environment. Students will learn to create geoprocessing tools that can be combined with other tools, in models and the toolbox, to process complex analysis tasks and automate repetitive data maintenance needs. Scripting with Python is emphasized as the appropriate technology for getting GIS work done by users, and is compatible with ArcGIS modules and all current geospatial data structures: rasters, shapefiles, coverages, and geodatabases. Students need no prior programming experience.
Class Format: Approximately 50% lecture, 50% application.
Instructor: Jerry Davis

Geog 9020: Scientific Visualization in GIS (2 days, 1.6 CEU)
Prerequisites: familiarity with basic GIS concepts and ArcGIS highly recommended.
Course Descritption: An introduction to the use of GIS in the visualization of map and image-based scientific datasets, and subsequent interpretation based upon human visual/cognitive abilities. Topics covered include terrain analysis, landscape evolution, and change through time. ArcGIS 3D Analyst will be used to explore the possibilities of three dimensional data visualization.
Class Format: Approximately 50% lecture, 50% application.
Instructor: Jerry Davis

Geog 9023: GIS and Remote Sensing for Coastal/Marine Scientists (5 days, 4.0 CEU)
Prerequisites: familiarity with Windows operating systems and database programs highly recommended.
Course Description: This course is an introduction to the concepts and uses of GIS and the physical principles of electromagnetic radiation through earth's atmosphere and remote sensing sensors relevant for coastal and marine studies. Lecture topics include the history of GIS, GIS data structures and sources of data, GIS tools, vendors and software, applications and resources. Exercises include spatial data display and query, map generation and simple spatial analysis using ArcGIS software.
Instructor: Ellen Hines, Toby Garfield

Geog 9024: Watershed GIS (2 days, 1.6 CEU)
Prerequisites: Raster GIS and Analysis (Geog 9008) or consent of instructor.
Course Description: This course explores GIS methods used to study and manage watersheds, with a focus on their hydrologic and geomorphic systems – from upland source areas to the stream channels that transport their runoff and provide habitat for riparian species. The course begins with a brief exploration of the nature and processes of watersheds and drainage systems. GIS support for watersheds includes not only spatial analysis and map development, but also field map generation and the creation of graphical products (e.g. longitudinal profiles) from field studies. GIS tools will be applied to problems of hillslope runoff and soil erosion prediction, interpretation of historical and current runoff-discharge relationships, and modeling the effects of changing land use.
Class format: Approximately 50% lecture, 50% application.
Instructor: Jerry Davis

Geog 9025: Fundamentals of ArcIMS (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003) recommended but not required.
Course Description: This two-day course provides a conceptual overview and hands-on experiences in Internet mapping and web-based geospatial information processing with state-of-the-art commercial software. Participants will be provided with an overview of the basic features and components of ArcIMS (ESRI, Inc. web-mapping software) and teaches the skills needed to create a basic ArcIMS Web site from start to finish. Participants learn the components of ArcIMS as they create map content that can be served on the Internet and fine-tune ArcIMS Web site performance. This course is designed for GIS professionals, Web administrators, systems administrators, or anyone else who is interested in learning ArcIMS technology in order to publish interactive maps on the Internet
Class format: Approximately 50% lecture, 50% application.
Instructor: Barry Nickel

Geog 9026: GIS in Crime Analysis (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003) recommended but not required.
Course Description: This course explores the practical issues surrounding spatial aspects of crime. Day one provides a basic introduction to GIS software, spatial data used for crime mapping, entering and manipulating data, and basic fundamentals of map making. Day two introduces basic analysis techniques, including proximity analysis, spatial distribution analysis, distance analysis, and more advanced topics such as hot spot analysis, density mapping, and spatial dispersion mapping.
Class format: Approximately 50% lecture, 50% application.
Instructor: XiaoHang Liu

Geog 9027: Spatial Analysis of Public Health Data (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003) recommended but not required.
Course Description: This course introduces the use of geographic information systems in the analysis of public health data. Day one introduces basic GIS operations such as buffering, layering, spatial queries, introductory cartography and spatial statistics. Day two progresses to public health applications including site selection, assessment of spatial pattern of disease locations and disease rates, spatial interpolation of exposures, and environmental justice assessments. In addition, recent computational advances for applying these methods will also be reviewed.
Class format: Approximately 50% lecture, 50% application.
Instructor:XiaoHang Liu

Geog 9029: Processing GIS Data with Visual Tools (2 days, 1.6 CEU)
Prerequisites: Introduction to Geographic Information Systems (Geog 9003).
Course Description: This course explores the visual tools and methods used for processing data in GIS. The course introduces students to the geoprocessing concept, and its framework (tools, scripts and models), and will focus on model use not just for advanced analysis but also for common repetitive procedures common in GIS manipulation. Topics will include the Geoprocessing framework, the analytical method, Tools, Toolboxes, Scripts, Models using the ArcGIS ModelBuilder, and process documentation. Class Format: Approximately 50% lecture, 50% software applications.
Class format: Approximately 50% lecture, 50% application.
Instructor:Michael Byrne

Geog 9030: Building a Geodatabase (2 days, 1.6 CEU)
Prerequisites: Introduction to GIS (Geog 9003) recommended and familiarity with ArcGIS Desktop.
Course Description: The geodatabase is ESRI's newest data model. The model vastly improves the accuracy and integrity of spatial data through key advantages that allow you to assign behaviors to individual features, define relationships between classes of features, apply high-level topological models, and network editing. This course serves as an introduction to personal geodatabase concepts and illustrates how to implement geographic database designs. Topics include:

  • Building a new geodatabase, feature data set, feature class, and table
  • Populate a geodatabase with GIS data
  • Adding behavior to your features by creating subtypes and validation rules
  • Migrating existing GIS data into a geodatabase
  • Setting up relationships between objects
  • Applying topology rules to improve data accuracy
  • Using network analysis for path searching, flow tracing etc.
Class format: Approximately 50% lecture, 50% application.
Instructor:XiaoHang Liu

Geog 9099: Further Exploration of ArcGIS (2 days, 1.6 CEU)
Prerequisites: Introduction to GIS (Geog 9003) or permission of instructor.
Course Description: This course explores further application of ArcGIS by guiding the students through a hands-on, real-world GIS project. It focuses on designing a project, acquiring and transforming data, creating metadata, choosing the appropriate analysis and then presenting the results. This is an intermediate level course designed for professionals with GIS experience and for students with prior GIS training.
Class format: Approximately 20% lecture, 80% application.
Instructor: Ellen Hines


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