Course Content
KM-01: Introduction to RPA and Digital Transformation
This module introduces learners to the fundamentals of Robotic Process Automation (RPA), digital transformation, and automation technologies used in modern business environments. Learners will explore how businesses use automation to improve efficiency, reduce repetitive tasks, and support digital innovation.
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KM-04: Computing Theory
This module introduces learners to the foundational principles of programming and computing theory used in software development and automation environments. Learners will explore programming languages, programming logic, algorithms, variables, operators, loops, functions, and software applications commonly used in modern computing systems. The module also introduces concepts related to web technologies, databases, artificial intelligence, and software development methodologies.
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KM-05: Data, Databases and Data Scraping
This module introduces learners to the principles of data management, databases, and data scraping used in modern digital and automation environments. Learners will explore how organisations collect, store, analyse, secure, and visualise data to support business processes and decision-making. The module also introduces structured query language (SQL), relational databases, web scraping techniques, and software tools used for analysing and visualising data in automation and RPA environments.
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KM-06: Introduction to RPA for Automation of Processes
This module introduces learners to the foundational concepts, technologies, and processes involved in Robotic Process Automation (RPA). Learners will explore automation principles, business process analysis, workflow automation, process mapping, bots, attended and unattended automation, and the role of RPA in improving operational efficiency. The module also examines how organisations identify processes suitable for automation and how RPA supports digital transformation initiatives.
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KM-07: Robotic Process Automation (RPA)
This module focuses on building an understanding of how to use a toolkit or platform, using a vendor-specific approach, for the creation and deployment of automated processes. Learners will explore variables, arguments, automation selectors, control flow, data manipulation, automation concepts, automation management, and methods used to secure the RPA ecosystem from security risks. The module develops practical knowledge required to build, manage, and support automation solutions within modern RPA environments.
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KM-08: Introduction to RPA Governance, Legislation and Ethics
This module introduces learners to governance, legislation, compliance, ethics, and responsible practices within Robotic Process Automation (RPA) environments. Learners will explore legal requirements, organisational governance, ethical considerations, compliance frameworks, privacy protection, intellectual property, accountability, and professional conduct related to automation technologies. The module also examines how organisations manage risk, maintain compliance, and ensure ethical use of RPA systems within modern digital business environments.
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KM-09: Fundamentals of Design Thinking and Innovation
This module introduces learners to the fundamentals of design thinking and innovation within modern business and technology environments. Learners will explore design thinking principles, human-centered design, creativity, innovation, design concepts, design thinking methodologies, and the practical application of design thinking in software development, cybersecurity, and business problem-solving. The module focuses on developing innovative thinking, problem-solving skills, and creative approaches used in modern workplaces and digital transformation environments.
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KM-10: 4IR and Future Skills
This module focuses on building an understanding of the impact of the Fourth Industrial Revolution (4IR) on communities, individuals, and businesses, as well as the future skills required in modern digital environments. Learners will explore emerging 4IR technologies, computing knowledge, future skills and competencies, business trends, interpersonal and intrapersonal skills, communication methods, workplace teamwork, customer service, and professional workplace practices required within modern organisations and Robotic Process Automation (RPA) environments.
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PM-01: Basic Calculations for Programming
This practical module introduces learners to the mathematical and computational concepts required in programming and automation environments. Learners will develop practical skills in number systems, measurement conversions, mathematical operations, scientific notation, logical calculations, and computational problem solving. The module focuses on applying calculations and numerical reasoning in software development and Robotic Process Automation (RPA) environments. Learners will complete practical activities that strengthen analytical thinking, accuracy, and computational problem-solving skills required in modern digital workplaces.
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PM-02: Basic Programming
This practical module introduces learners to fundamental programming concepts, software toolkits, coding environments, programming paradigms, data types, APIs, functions, logical operations, loops, SQL queries, error handling, and software development processes used in Robotic Process Automation (RPA) environments. Learners will develop practical programming skills by creating coding environments, writing and testing code, working with variables and functions, integrating APIs, handling errors, and developing simple automation solutions using industry-relevant software toolkits and platforms.
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PM-03: Access, Analyse and Visualise Structured Data Using Spreadsheets and Scraping Tools
This practical module focuses on developing the skills required to access, analyse, organise, transform, visualise, and report structured data using spreadsheets, dashboards, pivot tables, databases, and web scraping tools within a Robotic Process Automation (RPA) environment. Learners will work with spreadsheet reporting, dashboards, pivot tables, SQL imports, data models, charts, and web scraping techniques to process and visualise data for business decision-making.
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PM-05: Execute Test Procedures for Evaluating the RPA Solution Performance
This practical module focuses on developing the practical skills required to prepare, execute, evaluate, and improve test procedures for Robotic Process Automation (RPA) solutions. Learners will work with test cases, testing methodologies, simulation tools, workflow evaluations, exception handling, and remedial actions to determine whether an RPA solution passes or fails according to business and technical requirements. Learners will also develop the ability to analyse automation outcomes, identify application and workflow issues, document test evidence, and apply corrective actions to improve automation reliability and performance.
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PM-06: Deploy RPA Solutions Which Emulate Actions of a Human Interacting Within Digital Systems
This practical module focuses on developing the practical skills required to deploy, schedule, monitor, manage, and maintain Robotic Process Automation (RPA) solutions within production environments. Learners will work with unattended and attended robots, deployment procedures, process documentation, auditing dashboards, scheduling systems, and RPA environment management tools. Learners will also develop the ability to schedule automated workflows, deploy bots into production environments, update process documentation, train end-users, monitor runtime activities, and import or export automation solutions between environments.
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PM-07: Modify and Improve Existing RPA Solutions
This practical module focuses on developing the practical skills required to troubleshoot, improve, maintain, and optimise existing Robotic Process Automation (RPA) solutions within operational environments. Learners will work with debugging tools, workflow optimisation techniques, infrastructure changes, software upgrades, regulatory requirements, and process improvement strategies to ensure that automation workflows continue to operate efficiently and reliably. Learners will also develop the ability to investigate alternative solutions, apply continuous improvement techniques, manage changes in technical environments, explore workflow scalability, and update robotic workflows when organisations upgrade RPA software versions.
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PM-08: Function Ethically and Effectively as a Member of a Multidisciplinary Team
This practical module focuses on developing the practical skills required to function ethically, professionally, and collaboratively within multidisciplinary Robotic Process Automation (RPA) environments. Learners will work with business analysts, solution architects, DevOps teams, infrastructure engineers, project managers, business users, and stakeholders throughout the automation life cycle. Learners will also develop the ability to communicate effectively, collaborate across departments, support business process automation initiatives, engage with stakeholders ethically, adapt to organisational policies and infrastructure changes, and contribute to teamwork and business optimisation activities.
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PM-09: Apply Design Thinking Methodologies
This practical module focuses on developing the practical skills required to apply Design Thinking methodologies within problem-solving and innovation environments. Learners will collaborate with multidisciplinary teams to investigate problems, generate innovative ideas, develop prototypes, and test solutions using the Design Thinking process. Learners will also develop the ability to engage in collaborative discussions, participate in innovation workshops, analyse user needs, challenge assumptions, generate creative solutions, and apply the five Design Thinking phases: Empathize, Define, Ideate, Prototype, and Test.
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Occupational Certificate: Robotic Process Automation (RPA) Developer

Lesson Summary

This lesson introduces learners to the Cartesian Coordinate System and its importance in mathematics, computing, automation, engineering, and graphical representations. Learners will explore coordinates, axes, quadrants, plotting points, and the relationship between positions on a two-dimensional plane.

Lesson Outcomes

After completing this lesson, learners will be able to:

  • Explain the Cartesian Coordinate System
  • Identify the x-axis and y-axis
  • Plot points on a coordinate plane
  • Determine coordinates of plotted points
  • Identify quadrants on the Cartesian plane
  • Apply coordinate systems in technology and computing contexts

KT0501: Introduction to the Cartesian Coordinate System

The Cartesian Coordinate System is a mathematical system used to represent the position of points on a flat surface using numbers called coordinates.

The system was developed by the mathematician René Descartes and is widely used in:

  • Mathematics
  • Engineering
  • Computing
  • Robotics
  • Navigation
  • Computer graphics
  • Data visualisation

The Cartesian plane is formed by two number lines that intersect at a right angle:

  • The horizontal axis called the x-axis
  • The vertical axis called the y-axis

The point where the two axes intersect is called the origin.

The origin has the coordinate:

                    (0,0) 

Coordinates are written in the form:

                     (x,y) 

Where:

  • x represents the horizontal position
  • y  represents the vertical position

For example:

                     (3,2) 

means:

  • Move 3 units along the x-axis
  • Move 2 units upward along the y-axis

Coordinate systems are important because they allow positions and movements to be represented mathematically and digitally.


KT0502: The X-Axis and Y-Axis

The two main lines in the Cartesian plane are called axes.


X-Axis

The x-axis is the horizontal line.

Values on the x-axis:

  • Increase to the right
  • Decrease to the left

Positive x-values are found on the right side of the origin, while negative x-values are found on the left side.

Examples:

  • −2 

Y-Axis

The y-axis is the vertical line.

Values on the y-axis:

  • Increase upward
  • Decrease downward

Positive y-values are above the origin, while negative y-values are below the origin.

Examples:

  • −3 

Understanding the axes is important because all coordinates are measured relative to these lines.

Coordinate systems are widely used in:

  • Graph plotting
  • GPS systems
  • Robotics
  • Animation
  • Computer-aided design (CAD)
  • Game development

KT0503: Plotting Points on the Cartesian Plane

Plotting points means placing coordinates at the correct position on the coordinate plane.

To plot a point:

  1. Start at the origin (0,0) 
  2. Move along the x-axis
  3. Move vertically along the y-axis
  4. Mark the position

Example 1

Plot the point:

(4,3)(4,3)

Step 1

Move 4 units to the right on the x-axis.

Step 2

Move 3 units upward on the y-axis.

Step 3

Mark the point.


Example 2

Plot the point:

                           (−2,−5) 

Step 1

Move 2 units left on the x-axis.

Step 2

Move 5 units downward on the y-axis.

Step 3

Mark the point.


Plotting points is important in computing because digital systems use coordinate systems to position objects on screens and within applications.

Examples include:

  • User interface design
  • Animation
  • Robotics movement
  • GPS navigation
  • Mapping software
  • Video games

KT0504: Quadrants of the Cartesian Plane

The x-axis and y-axis divide the Cartesian plane into four sections called quadrants.

Each quadrant contains specific combinations of positive and negative coordinates.


Quadrant I

Located:

  • Top right

Coordinates:

                      (+,+) 

Both x and y values are positive.

Example:

                      (3,5) 


Quadrant II

Located:

  • Top left

Coordinates:

                        (−,+) 

x-values are negative and y-values are positive.

Example:

                         (−4,2) 


Quadrant III

Located:

  • Bottom left

Coordinates:

               (−,−) 

Both x and y values are negative.

Example:

                (−3,−6) 


Quadrant IV

Located:

  • Bottom right

Coordinates:

          (+,−) 

x-values are positive and y-values are negative.

Example:

         (5,−2) 


Understanding quadrants helps learners identify coordinate positions correctly and interpret graphs accurately.


KT0505: Applications of Coordinate Systems in Technology

Coordinate systems are essential in many technology and automation environments.


Computer Graphics

Computers use coordinates to position:

  • Images
  • Text
  • Buttons
  • Windows
  • Animations

Every object displayed on a screen has coordinates that determine its location.


Robotics

Robots use coordinate systems to:

  • Navigate environments
  • Control movement
  • Identify positions
  • Perform automated actions

GPS and Navigation

Global Positioning Systems (GPS) use coordinates to determine locations on Earth.

Applications include:

  • Navigation systems
  • Delivery tracking
  • Mapping software

Video Games

Video games use coordinates to control:

  • Character movement
  • Object placement
  • Collision detection
  • Camera positioning

Engineering and Design

Coordinate systems are used in:

  • Technical drawings
  • CAD systems
  • Architecture
  • Manufacturing

Coordinate systems help technology systems represent physical and digital spaces accurately.

Understanding coordinates is important for learners working in:

  • Programming
  • Automation
  • Robotics
  • Data visualisation
  • Software development
  • Engineering

KT0506: Determining Coordinates from a Graph

Learners must also be able to identify coordinates from plotted graphs.

To determine coordinates:

  1. Identify the point on the graph
  2. Read the x-value first
  3. Read the y-value second
  4. Write the coordinate as (x,y) 

Example

If a point is:

  • 2 units left of the origin
  • 4 units upward

The coordinate is:

 (−2,4) 


Correct interpretation of coordinates is important in:

  • Data analysis
  • Graph interpretation
  • System monitoring
  • Automation dashboards
  • Digital mapping systems

Coordinate systems provide a structured way to represent positions and relationships mathematically and digitally.

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