Due to COVID-19 schedule changes, we ask you to enroll no later than two weeks prior to the class start date and pay within five days after enrolling to prevent being dropped. This new policy is meant to ensure that:
|Course||Scheduled Date||Course Offering||
|Latest Payment Deadline1||Optional Zoom Tech Support Session2|
15 days after the student enrolls (11:59pm), dates below assume a student has signed up ON the enrollment deadline
2IGISc Optional 1-hr Technical Support Session for help with software installation (Zoom)
|GEOG 9032 Ecological Applications||April 17 & 18, 2020||Running with Remote Option||Sunday, April 5, 2020||Friday, April 10, 2020||Wednesday, April 8, 1 p.m. - 2 p.m.|
|GEOG 9027 Spatial Analysis of Public Health Data||April 24 & 25, 2020||Running with Remote Option||Sunday, April 12, 2020||Friday, April 17, 2020||Wednesday, April 15, 1 p.m. - 2 p.m.|
|GEOG 9004 Managing a GIS Project||May 1 & 2, 2020||Running with Remote Option||Sunday, April 19, 2020||Friday, April 24, 2020||Thursday, April 23, 1 p.m. - 2 p.m.|
|GEOG 9030 Building a Geodatabase||May 15 & 16, 2020||Running with Remote Option||Sunday, May 3, 2020||Friday, May 8, 2020||Wednesday, May 6, 1 p.m. - 2 p.m.|
The geodatabase is the newest spatial data model created by Environmental Systems Research Institute, Inc. for use in the ArcGIS desktop application suite. 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.
* Building a new geodatabase, feature data set, feature class, and table
* Populating a geodatabase with GIS data
* Adding behavior to your features by creating subtypes and
* 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% software applications.
|Dates||Days and Times||Location||Faculty|
|5/15/20-5/16/20||Fri, Sat, 8:30AM-5:30PM||HSS 290||Xiaohang Liu|
Course fee: $395
|Refund Code||Full Refund||75% Refund||No Refund|
|CEL_2||Class dropped one day prior to class start day||Class dropped on class start day||Class dropped beyond class start day|
Last Update: Mar 27, 2020 9:08am