Geographic Information Systems (GIS)

Purpose:

This qualification is aimed at learners who work or intend to work in the Geographical Information Science (GISc) occupational area as systems Technicians or related occupational fields and who seek recognition for essential skills in the conduct of GIS. The qualification will also be valuable for those who may have been practicing within the GIS sector, but without formal recognition.

This qualification has been developed to assist with professional advancement across the GISc industry. This will allow learners to register as systems Technicians in the Geo-informatics field and lay a foundation for future career advancement in this learning area.

On achieving this qualification, a learner will be able to:

  1. Collect, capture and exchange data from various formats and sources.
  2. Manipulate and visualize data to meet the stated requirement.
  3. Manage a database to store the required data sets and develop simple SQL queries.
  4. Operate effectively as a GISc Technician in a professional practice.

Course Pre-Requisites:

Basic computer skills including basic keyboarding, word processing, spreadsheet and internet skills.

Course Modules:

Geospatial Science Core

  • GIS Fundamentals.
  • Applied GIS.
  • Spatial Analysis and Modeling.
  • GIS Theories, Models and Issues.
  • Geographic Information Systems Workshop.

Location:

South Africa

Training Dates:


Training Schedule
Duration
1 Week
2 Weeks
3 Weeks
Month
Option A
Option B
Option A
Option B
Option A
January
13 - 17 Jan
27 Jan - 31 Jan
6 - 17 Jan
20 Jan- 31 Jan
13 Jan - 31 Jan
February
10 - 14 Feb
24 Feb - 29 Feb
3 - 14 Feb
17 Feb - 29 Feb
10 Feb - 29 Feb
March
10 - 14 Mar
23 - 27 Mar
2 - 13 Mar
16 - 27 Mar
9 - 27 Mar
April
6 - 10 Apr
20 - 24 Apr
30 Mar - 10 Apr
13 - 24 Apr
6 - 24 Apr
May
6 - 10 May
27 -31 May
29 Apr - 10 May
20 - 31 May
13 - 31 May
June
8 - 12 Jun
22 - 26 Jun
1 -12 Jun
15 - 26 Jun
8 - 26 Jun
July
6 - 10 Jul
20 - 24 Jul
29 Jun - 10 Jul
13 - 24 Jul
6 - 24 Jul
August
10 - 14 Aug
24 - 28 Aug
3 - 14 Aug
17 - 28 Aug
10 - 28 Aug
September
7 - 11 Sep
21 - 25 Sep
31Aug - 10 Sep
14 - 25 Sep
7 - 25 Sep
October
5 - 9 Oct
19 - 23 Oct
28 Sep - 9 Oct
12 - 23 Oct
5 - 23 Oct
November
9 - 13 Nov
23 - 27 Nov
02 - 13 Nov
16 - 27 Nov
9 - 27 Nov
December
7 - 11 Dec
14 - 18 Dec
30 Nov - 11 Dec
07 - 18 Dec
30 Nov - 18 Dec


Course Duration: 3 Weeks (Advanced)

Unit Standard:

NQF Level:

Number of Credits:


Course Fees


Note: Please fill in the online application form on the left or bottom if this page to receive a quotation with detailed pricing from AATICD.

How to Apply:

To Apply Simply Fill in the Online Enquiries / Applications form on the Right Sidebar or Bottom of this website https://www.aaticd.co.za

NB:

When filling the online application form; please take note of your desired Training Month, Duration in Weeks and Training Session. This will give us the exact dates you will be attending your classes.

Also note that Tuition Fees must be paid upfront on or before training start date. This is to ensure that all resources are made availabe for you before you start. You will not be allowed into training if fees are not paid and verified.

Also note that Tuition Fees Cancellations must be made 14 business working days before the starting date of training. This will allow us to do a 50% refund of the total amount paid. If cancellations are made thereafter note that no refund will be made to delegates.

Tuition Fees include teas and lunch as well as either a laptop or tablet which a delegate will take home free of charge.

Tuition Fee DOES NOT include Accommodation, Dinners and other Extra Curricular Activities or Incidentals. Delegates are expected to fund this on their own. AATICD will not be held accountable for any incidents to delegates.

In-House Trainings are also available for 3 or more delegates for any duration. Please consult with our Administration for such In-House training bookings.


Course Outline

Geospatial Specialization Area

Geospatial Computing and Information Management:

  • Advanced Operating Systems.
  • Object Oriented Analysis and Design.
  • Database Design.
  • Spatial Data Management.
  • Artificial Intelligence.
  • Computer Graphics.
  • Computer Vision.
  • Combinatorics and Graph Algorithms.
  • Neural Nets and Machine Learning.
  • GIS Management and Implementation.
  • Internet Mapping and Information Management.
  • GIS Application Development.
  • Database Management Systems.

Spatial Analysis and Modeling:

  • Descriptive and Inferential Statistics.
  • Advanced Regression Analysis.
  • GIS Pattern Analysis.
  • Spatial Statistics.
  • GIS Network Modeling.
  • Demographic Analysis and Modeling.
  • Spatial Epidemiology.
  • Data Analysis for Geoscientists.
  • Advanced Raster Modeling.
  • Data Structures.

Remote Sensing and Satellite Technologies: 

  • Intro to Remote Sensing.
  • Applied Remote Sensing.
  • Remote Sensing Digital Image Processing.
  • Radar Remote Sensing.
  • GPS Satellite Surveying Techniques.
  • GIS Applications to Geosciences.
  • Remote Sensing Workshop.
  • Digital Signal Processing.
  • Digital Image Processing.

Customized Geospatial Specialization.

Learning Outcomes:

  1. Collect and capture data from various formats and sources.
  2. Manipulate and visualize the data to meet the stated requirement.
  3. Manage a database to store the required data sets and develop simple SQL queries.
  4. Operate effectively as a GISc Technician in a professional practice

Critical Cross-Field Outcome:

This qualification promotes, in particular, the following Cross-Field Outcomes:
Ability to solve problems:

  • When analyzing data in order to make informed decisions.
  • When managing projects according to specifications, while meeting deadlines and budget constraints.

Work effectively with others as a member of a team/group/organization or community:

  • When sourcing data from different custodians.
  • When analysing data and assist users to make informed decisions.
  • When managing team members to achieve optimal performance.

Organise and manage oneself and one’s activities responsibly and effectively:

  • When performing the work in accordance with industry standards.
  • When managing projects according to specifications, while meeting dead lines and budget constraints.
  • When sourcing and managing data from different custodians.


Collect, organize and critically evaluate information:

  • When complying with user need requirements.
  • When analyzing data and assist users to make informed decisions.
  • When managing projects according to specifications, while meeting deadlines and budget constraints.

Communicate effectively using visual, Mathematics and language skills in the modes of oral and written presentations:

  • When analysing data and assist users to make informed decisions.
  • When managing projects according to specifications, while meeting deadlines and budget constraints.
  • When providing metadata for data sets.

Use science and technology effectively and critically (showing responsibility towards the environment and health of others):

  • When analysing data and assist users to make informed decisions.
  • When managing projects according to specifications, while meeting deadlines and budget constraints.
  • When using the appropriate technology and tools in consideration of environmental constraints.

Demonstrate an understanding of the world as a set of related systems:

The inter-relatedness when applying knowledge and technology regarding spatially related entities in problem solving.