Code-197 Diploma in Computing

01

Cybersecurity Basics

5 chapters • 60 marks • 40h

Awareness of cybersecurity principles and practices.

1 Understanding Cybersecurity Fundamentals 6 classes

1.1 Introduction to Cybersecurity: Understanding the Basics

1.2 Identifying Cyber Threats: Types and Impact

1.3 Exploring Cybersecurity Frameworks: Best Practices

1.4 Implementing Basic Security Measures: Tools and Techniques

1.5 Recognizing Social Engineering Attacks: Prevention Strategies

1.6 Assessing Your Cybersecurity Posture: Self-Evaluation Techniques

2 Network Security Essentials 6 classes

2.1 Understanding Network Security: Key Concepts and Terminology

2.2 Identifying Network Vulnerabilities: Tools and Techniques

2.3 Implementing Firewalls: Configuring Basic Rules

2.4 Securing Wireless Networks: Best Practices and Protocols

2.5 Introduction to Intrusion Detection Systems: Monitoring and Response

2.6 Developing a Network Security Policy: Steps to Create an Effective Framework

3 Malware and Threat Analysis 6 classes

3.1 Understanding Malware: Definitions and Types

3.2 Identifying Common Malware Threats

3.3 Analyzing Malware Behavior and Impact

3.4 Tools for Malware Detection and Analysis

3.5 Responding to Malware Incidents: Best Practices

3.6 Real-World Case Studies: Lessons from Malware Attacks

4 Risk Management in Cybersecurity 6 classes

4.1 Understanding Cybersecurity Risks: An Introduction to Risk Management

4.2 Identifying Threats: Conducting a Risk Assessment

4.3 Analyzing Vulnerabilities: Evaluating Your Cybersecurity Posture

4.4 Implementing Controls: Strategies for Risk Mitigation

4.5 Monitoring and Reviewing Risks: Continuous Improvement in Cybersecurity

4.6 Case Studies in Cyber Risk Management: Learning from Real-World Incidents

5 Incident Response and Recovery Strategies 6 classes

5.1 Understanding Incident Response: Key Concepts and Frameworks

5.2 Identifying and Classifying Cybersecurity Incidents

5.3 Developing an Incident Response Plan: Step-by-Step Guide

5.4 Tools and Technologies for Effective Incident Response

5.5 Conducting a Post-Incident Review: Lessons Learned

5.6 Implementing Recovery Strategies: Restoring Systems and Data

02

Data Management and Analysis

5 chapters • 80 marks • 40h

Skills in managing and analysing data relevant to hospitality.

1 Fundamentals of Data Management 6 classes

1.1 Introduction to Data Management Concepts

1.2 Understanding Data Types and Structures

1.3 Data Collection Methods and Best Practices

1.4 Data Storage Solutions: Choosing the Right Option

1.5 Data Quality Assurance Techniques

1.6 Introduction to Data Privacy and Ethics

2 Data Collection Techniques 6 classes

2.1 Introduction to Data Collection Techniques: Understanding the Basics

2.2 Surveys and Questionnaires: Designing Effective Tools for Data Collection

2.3 Observational Methods: Gathering Data Through Direct Observation

2.4 Interviews: Conducting Effective One-on-One Data Collection

2.5 Online Data Collection: Leveraging Digital Tools for Data Gathering

2.6 Ethical Considerations in Data Collection: Ensuring Integrity and Compliance

3 Data Cleaning and Preparation 6 classes

3.1 Understanding Data Quality: Identifying Issues in Your Dataset

3.2 Techniques for Handling Missing Data: Strategies and Tools

3.3 Data Transformation Basics: Normalizing and Standardizing Values

3.4 Outlier Detection and Treatment: Ensuring Data Integrity

3.5 Data Type Conversion: Preparing Your Data for Analysis

3.6 Automating Data Cleaning: Using Tools and Scripts for Efficiency

4 Data Analysis Methods 6 classes

4.1 Understanding Descriptive Statistics: Summarizing Data Effectively

4.2 Exploring Inferential Statistics: Making Predictions from Samples

4.3 Visualizing Data: Creating Meaningful Graphs and Charts

4.4 Identifying Correlation: Analyzing Relationships Between Variables

4.5 Applying Regression Analysis: Predicting Outcomes from Data

4.6 Conducting Hypothesis Testing: Validating Assumptions with Data

5 Advanced Data Analytics and Machine Learning 6 classes

5.1 Introduction to Advanced Data Analytics: Understanding Concepts and Techniques

5.2 Data Preprocessing: Cleaning and Preparing Data for Analysis

5.3 Exploring Machine Learning Algorithms: Supervised vs Unsupervised Learning

5.4 Feature Engineering: Enhancing Model Performance through Data Transformation

5.5 Model Evaluation and Selection: Metrics and Techniques for Performance Assessment

5.6 Real-World Applications of Machine Learning: Case Studies and Best Practices

03

Introduction to Computing

5 chapters • 60 marks • 40h

Foundation knowledge of computing principles.

1 Fundamentals of Computer Systems 6 classes

1.1 Understanding Computer Components: From Hardware to Software

1.2 Exploring Operating Systems: The Bridge Between User and Machine

1.3 Data Representation: Binary Basics and Beyond

1.4 Introduction to Networking: Connecting Computers and Sharing Resources

1.5 Understanding Input and Output Devices: How We Interact with Computers

1.6 Fundamentals of System Security: Protecting Data and Privacy

2 Programming Concepts and Logic 6 classes

2.1 Understanding Variables: The Building Blocks of Programming

2.2 Control Structures: Making Decisions in Code

2.3 Loops in Action: Repeating Tasks Efficiently

2.4 Functions: Breaking Down Problems into Manageable Parts

2.5 Data Types and Structures: Organizing Information Effectively

2.6 Debugging: Finding and Fixing Errors in Your Code

3 Web Development Essentials 6 classes

3.1 Understanding HTML: The Structure of Web Pages

3.2 CSS Basics: Styling Your Web Content

3.3 Introduction to JavaScript: Making Your Web Pages Interactive

3.4 Building a Simple Web Page: From Concept to Creation

3.5 Responsive Design: Ensuring Your Site Looks Great on Any Device

3.6 Deploying Your Website: From Local Development to Live Hosting

4 Introduction to Databases 6 classes

4.1 Understanding Databases: Key Concepts and Terminology

4.2 Exploring Database Types: Relational vs. Non-Relational

4.3 Introduction to SQL: Basic Queries and Commands

4.4 Designing a Simple Database: Entities and Relationships

4.5 Data Entry and Management: Using a Database Interface

4.6 Real-World Applications: Case Studies of Database Usage

5 Cybersecurity Principles 6 classes

5.1 Understanding Cybersecurity: Key Concepts and Importance

5.2 Identifying Common Cyber Threats: Types and Impacts

5.3 Exploring Security Measures: Firewalls and Antivirus Software

5.4 Implementing Strong Password Practices: Strategies for Security

5.5 Safe Browsing Habits: Protecting Yourself Online

5.6 Responding to Cyber Incidents: Steps to Take When Compromised

04

Networking Fundamentals

5 chapters • 60 marks • 40h

Understanding of networking concepts and their application.

1 Understanding Networking Concepts 6 classes

1.1 Introduction to Networking: What is a Network?

1.2 Exploring Network Types: LAN, WAN, and Beyond

1.3 Understanding Network Topologies: Visualizing Connections

1.4 The OSI Model: Layers of Networking Explained

1.5 IP Addressing: The Language of Networks

1.6 Introduction to Network Protocols: Communication Standards

2 Network Topologies and Protocols 6 classes

2.1 Understanding Network Topologies: An Introduction to Types and Uses

2.2 Exploring Bus and Star Topologies: Benefits and Drawbacks

2.3 Analyzing Ring and Mesh Topologies: Use Cases in Real-World Networks

2.4 Introduction to Network Protocols: The Language of Networking

2.5 TCP/IP vs. OSI Model: Understanding the Layers of Communication

2.6 Applying Network Protocols: Configuring a Simple Network Setup

3 IP Addressing and Subnetting 6 classes

3.1 Understanding IP Addressing Basics: Concepts and Importance

3.2 Exploring IPv4 and IPv6: Key Differences and Applications

3.3 Subnetting Demystified: Breaking Down the Basics

3.4 Hands-On Subnetting: Calculating Subnets with Real-World Scenarios

3.5 Implementing IP Addressing: Configuring Devices in a Network

3.6 Troubleshooting IP Addressing Issues: Tools and Techniques

4 Network Devices and Their Functions 6 classes

4.1 Introduction to Network Devices: Understanding the Basics

4.2 Exploring Routers: Functions and Configurations

4.3 Switches Uncovered: Connecting Devices Efficiently

4.4 The Role of Hubs and Bridges in Networking

4.5 Firewalls: Protecting Your Network

4.6 Practical Applications of Network Devices in Real-World Scenarios

5 Network Security Fundamentals 6 classes

5.1 Understanding Network Security: Key Concepts and Terminology

5.2 Identifying Common Threats: Malware, Phishing, and More

5.3 Implementing Firewalls: Configuring Basic Security Rules

5.4 Securing Wireless Networks: Best Practices for Protection

5.5 Introduction to Encryption: Protecting Data in Transit

5.6 Responding to Security Incidents: Developing an Action Plan

05

Project Management in IT

5 chapters • 60 marks • 40h

Application of project management techniques in IT projects.

1 Fundamentals of Project Management in IT 6 classes

1.1 Introduction to Project Management: Key Concepts and Terminology

1.2 Understanding the Project Life Cycle: Phases and Deliverables

1.3 Stakeholder Identification and Engagement: Techniques for Success

1.4 Defining Project Scope: Tools and Techniques for Clarity

1.5 Time Management in IT Projects: Creating Effective Timelines

1.6 Risk Management Strategies: Identifying and Mitigating Risks

2 Planning and Scheduling IT Projects 6 classes

2.1 Understanding Project Scope and Objectives

2.2 Identifying Key Stakeholders and Their Roles

2.3 Creating a Work Breakdown Structure (WBS) for IT Projects

2.4 Developing a Project Timeline with Gantt Charts

2.5 Resource Allocation and Budgeting Techniques

2.6 Risk Management Strategies in IT Project Scheduling

3 Risk Management in IT Projects 6 classes

3.1 Introduction to Risk Management in IT Projects

3.2 Identifying Risks: Tools and Techniques

3.3 Assessing Risks: Probability and Impact Analysis

3.4 Developing Risk Response Strategies

3.5 Implementing Risk Management Plans

3.6 Monitoring and Reviewing Risks in IT Projects

4 Agile Methodologies for IT Projects 6 classes

4.1 Introduction to Agile Methodologies: Principles and Practices

4.2 Scrum Framework: Roles, Artifacts, and Ceremonies

4.3 User Stories and Backlog Management: Creating Value for Stakeholders

4.4 Sprint Planning: Defining Goals and Deliverables

4.5 Conducting Effective Stand-up Meetings: Communication in Action

4.6 Retrospectives: Continuous Improvement and Feedback Loops

5 Quality Assurance and Stakeholder Engagement 6 classes

5.1 Understanding Quality Assurance in IT Projects

5.2 Key Stakeholders in IT Project Management

5.3 Developing a Quality Assurance Plan

5.4 Engaging Stakeholders Through Effective Communication

5.5 Implementing Quality Control Measures in IT Projects

5.6 Evaluating Stakeholder Feedback for Continuous Improvement

06

Software Applications in Hospitality

5 chapters • 80 marks • 40h

Proficiency in software used within the hospitality sector.

1 Understanding Hospitality Software Ecosystems 6 classes

1.1 Introduction to Hospitality Software: Key Components and Functions

1.2 Exploring Property Management Systems: Features and Benefits

1.3 Understanding Point of Sale Systems: Integration and Applications

1.4 Analyzing Customer Relationship Management Software in Hospitality

1.5 Evaluating Revenue Management Systems: Strategies for Success

1.6 Future Trends in Hospitality Software: Innovations and Impacts

2 Fundamentals of Reservation Systems 6 classes

2.1 Introduction to Reservation Systems: Understanding the Basics

2.2 Exploring Different Types of Reservation Systems in Hospitality

2.3 Key Features of Effective Reservation Systems: A Deep Dive

2.4 User Experience Design in Reservation Systems: Best Practices

2.5 Implementing a Simple Reservation System: Hands-On Application

2.6 Evaluating Reservation System Performance: Metrics and Analysis

3 Data Management and Analytics in Hospitality 6 classes

3.1 Introduction to Data Management in Hospitality: Understanding the Basics

3.2 Collecting Customer Data: Tools and Techniques for Effective Data Gathering

3.3 Data Analysis Techniques: Turning Raw Data into Actionable Insights

3.4 Visualizing Data: Creating Compelling Reports and Dashboards for Hospitality

3.5 Leveraging Analytics for Decision Making: Case Studies in Hospitality Management

3.6 Implementing Data-Driven Strategies: Best Practices for Hospitality Professionals

4 Implementing Point of Sale (POS) Systems 6 classes

4.1 Understanding POS Systems: An Overview of Functionality and Benefits

4.2 Hardware Essentials: Selecting the Right Equipment for Your POS System

4.3 Software Setup: Installing and Configuring Your POS Software

4.4 User Interface Navigation: Mastering the POS System Dashboard

4.5 Transaction Management: Processing Sales and Handling Payments

4.6 Reporting and Analytics: Leveraging Data from Your POS System

5 Emerging Technologies in Hospitality Software 6 classes

5.1 Understanding Emerging Technologies in Hospitality Software

5.2 Exploring Cloud Computing Solutions for Hospitality Management

5.3 Leveraging Mobile Applications to Enhance Guest Experience

5.4 Integrating Artificial Intelligence for Personalized Services

5.5 Utilizing Data Analytics for Operational Efficiency in Hospitality

5.6 Implementing Internet of Things (IoT) for Smart Hospitality Solutions

Code-197 Diploma in Computing

About This Certification

Course Curriculum

Enrol through an accredited centre

Send Us An Enquiry

Code-197 Diploma in Computing

About This Certification

Course Curriculum

Enrol through an accredited centre

Send Us An Enquiry

Related Certifications