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.

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Location:

South Africa

Training Dates:

Each course starts every Monday of each week. Please book your training on a date that is a Monday.

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: Terms and Conditions for Payment and Refunds

1.1. Full payment for the training workshop must be made at least 5 days before the scheduled workshop date.

1.2. Payment can be made via bank transfer, credit card, or any other agreed-upon method.

1.3. A confirmation of payment will be issued upon receipt of funds.

1.4. Any form of Payment means that trainee / delegate / client receiving the training accepts the training and agrees to these terms and conditions.

2. Cancellation and Refund Policy

2.1. Cancellations made 30 days or more before the workshop date will be eligible for a full refund, minus any administrative fees.

2.2. Cancellations made 15 to 29 days before the workshop date will be eligible for a 50% refund of the total payment.

2.3. Cancellations made less than 14 days before the workshop date will not be eligible for a refund.

2.4. Participants who fail to attend the workshop without prior notice will not be eligible for a refund.

3. Rescheduling

3.1. If a participant wishes to reschedule, a request must be submitted at least 14 days in advance, subject to availability.

3.2. A rescheduling fee may apply.

4. Workshop Cancellation by the Organizer

4.1. AATICD reserves the right to cancel or reschedule the workshop due to unforeseen circumstances, including but not limited to low enrolment, trainer unavailability, or force majeure events.

4.2. In the event of cancellation by AATICD, participants will be offered a full refund or the option to attend a rescheduled session.

4.3. AATICD is not responsible for any additional costs incurred by participants, such as travel or accommodation expenses.

5. Refund Processing

5.1. Approved refunds will be processed within 7 business days from the date of cancellation approval.

5.2. Refunds will be issued using the original payment method unless otherwise agreed.

6. Contact Information

For any questions regarding payments and refunds, please contact us at:

Email: apply@aaticd.co.za

Phone: +27 73 016 5042

By registering for the workshop, participants agree to abide by these terms and conditions.

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.

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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.