Computational Thinking

The Computational Thinking Certification prepares learners to solve complex problems using logical reasoning, data analysis, abstraction, decomposition, and algorithmic thinking. Learners will gain the knowledge and practical skills required to analyze problems, collect and interpret data, design solutions, automate processes, and communicate solutions effectively using computing principles.

Through this certification, learners will develop critical thinking, problem-solving abilities, logical reasoning skills, and computational techniques needed to create efficient solutions for real-world challenges in academic, business, and technology environments.

Course Overview

Computational thinking is a foundational skill that enables individuals to solve problems systematically by breaking them into manageable parts, identifying patterns, designing algorithms, and automating solutions. This programme is designed to develop the analytical and logical thinking skills required to understand complex problems and create effective solutions using computing concepts.

Learners will gain practical experience in data collection, pattern recognition, abstraction, algorithm design, iterative problem-solving, collaboration, and solution presentation. They will also develop skills in evaluating solutions, improving processes, and communicating technical concepts to different audiences.

Course Overview

Duration

The programme combines classroom, practical, and workplace learning. Modules can be scheduled flexibly to meet learner and workplace requirements.

Delivery Method

The course can be delivered on-site at the learner’s business, at a training provider facility, or virtually. Accredited providers will supervise practical and workplace-based learning to meet all assessment and credit requirements.

Who Is This Course For?

Students interested in technology and computing
Aspiring programmers and software developers
Data and business analysts
STEM learners and educators
IT professionals seeking foundational computational skills
Individuals interested in logical problem-solving

Cost

R4 800.00 Per Learner

Exam Objectives

Foundational Concepts
1.1 Understand and Recognise Different Types of Data
1.2 Recognise and Apply Logical Reasoning
1.3 Explain Algorithmic Thinking

Identify and Collect Data
2.1 Assess Data Needs and Available Data
2.2 Understand Data Quality
2.3 Collect the Data Needed to Solve a Problem

Apply Abstraction
3.1 Identify Patterns In and Apply Abstraction to Data
3.2 Recognise, Create, and Interpret Abstract Models

Specify a Solution
4.1 Define and Decompose a Problem
4.2 Identify Requirements

Automate a Solution
5.1 Use a Sequence of Steps in Algorithms
5.2 Automate Repetitive Tasks by Using Iteration
5.3 Use Selection Statements in Algorithms
5.4 Use Variables in Algorithms

Present and Improve a Solution
6.1 Produce a Computational Artifact to Present a Solution to a Target Audience
6.2 Collaborate on Computational Artifacts
6.3 Perform Iterative Design on an Automated Solution