General GIS Training - beginner level (2 days)
This 2-day training would allow the users to quickly understand what "Geographic Information System" (GIS) and how to apply the techniques related to their daily work.
Whether the participants are completely new to the field of GIS, or looking to refresh their memory, there are some basic techniques which are essential to the understanding of the technology. These concepts include the understanding of spatial data and attribute data, when combined in one computer system, are the foundation of what makes a GIS unique.
During this training, the trainees would be supplied professional with training material printed by ESRI headquarters' publisher and one original CD containing the latest version of ArcExplorer. The preparation of the training in the "training facility" would have to be done one day earlier at the facility. Depending on the date of training, the preparation would be done either on Friday (if the following Saturday is not a working Saturday) or on Saturday. The training itself would start on Monday and end on Friday.
This training course would be divided into four (4) main parts to gradually expose the trainees.
These main parts would be:
1.General GIS with basic functionalities.
2.Maintaining /updating data.
3.On-site data acquisition.
Bellow are the training outlines:
Day 1: Introduction to GIS:
The trainees would learn the basic terminologies used in GIS and what makes the difference between Computer Aided Design (CAD) and GIS. In the same day, they would have already started using ArcExplorer (a free GIS software developed by ESRI) to familiarize with GIS data provided by our company. The trainees would also learn the difference between the most important feature classes (point, polylines, polygons) to be applied for their industry.
Day 2 : Introduction to GIS Basics:
Once the trainees have familiarized themselves with GIS and the sample data during the first day, the second day would be focusing on using ArcExplorer for displaying maps, making queries, adding information into the data and most importantly to make practical outputs for their internal use.