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German
May 3, 2023
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Advanced Computer Packages

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Advanced Computer Applications

Introduction

The Advanced Computer Applications course is designed to provide learners with essential digital competencies required in today’s technology-driven world. This comprehensive training covers practical and theoretical knowledge in core areas of Information and Communication Technology (ICT), ensuring students are well-prepared for both academic and professional environments.

The course emphasizes hands-on experience with widely-used applications, foundational programming, data management, and an introduction to emerging technologies such as Artificial Intelligence (AI) and Data Science.

Target Audience

This course is ideal for:

- Students seeking to enhance their ICT skills.

- Job seekers preparing for digital work environments.

- Professionals aiming to upskill in modern computing tools.

 

Course Objectives

Upon completion of this course, learners will be able to:

- Install, manage, and troubleshoot computer software.

- Secure digital devices from malware and manage personal data effectively.

- Design basic graphics for professional use.

- Apply programming logic and basic syntax in real-world tasks.

- Understand accounting systems and manage records using Sage.

- Grasp foundational concepts in Artificial Intelligence and Data Science.

 

Course Modules

  1. Software Installation and Uninstallation: Installing, updating, and removing software securely and efficiently, with attention to system compatibility and troubleshooting.
  2. Personal Information Management: Managing digital data including contacts, calendars, and files using productivity tools and cloud-based services.
  3. Antivirus and Virus Management: Identifying common digital threats, implementing protective measures, and using antivirus tools to safeguard data.
  4. Modern Graphics Design: Creating professional visuals using modern tools such as Adobe Photoshop and Illustrator, with a focus on layout, typography, and branding.
  5. Sage Accounting: Learning to manage business transactions, generate financial reports, and automate accounting processes using Sage software.
  6. Fundamentals of Programming: Introducing core programming concepts such as variables, control structures, and simple algorithms using beginner-friendly languages like Python or VB.
  7. Concepts of IT and ICT: Understanding the basics of computer systems, networking, digital communication, and the role of ICT in business and society.
  8. Introduction to AI and Data Science: Exploring basic principles of Artificial Intelligence, data handling, and visualization, with real-world applications and ethical considerations.
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Web Technologies

Introduction

The Web Technologies course is designed to equip learners with essential skills for designing, developing, and deploying dynamic and responsive websites. Covering both front-end and back-end technologies, this course empowers students to build modern web applications using industry-standard tools and best practices.

From structuring web pages with HTML and CSS to programming interactive behavior with JavaScript and developing server-side logic, learners gain a strong foundation for careers in web development.

Target Audience

This course is ideal for:

- Aspiring web developers and designers.

- Students pursuing computer science or IT.

- Entrepreneurs and professionals wanting to build or manage websites.

- Anyone looking to understand how the modern web works.

Course Objectives

Upon completion of this course, learners will be able to:

- Design responsive and accessible web interfaces.

- Use modern tools and frameworks to enhance web development efficiency.

- Build interactive web applications using JavaScript.

- Understand how servers handle requests and manage data.

- Deploy and maintain websites using best practices.

 

Course Modules

  1. Introduction to Web Technologies: Overview of web architecture, browsers, protocols (HTTP, HTTPS), and how the front-end and back-end interact.
  2. HTML5 and Semantic Markup: Building structured web pages using HTML5, semantic tags, and forms.
  3. CSS3 and Responsive Design: Styling web pages, applying layout techniques (Flexbox, Grid), and designing for various screen sizes and devices.
  4. JavaScript Programming: Programming basics, DOM manipulation, events, functions, and creating interactivity on web pages.
  5. Version Control with Git and GitHub: Managing code versions, collaborating using Git, and hosting repositories on GitHub.
  6. Front-End Frameworks (Optional): Introduction to frameworks such as Bootstrap or Tailwind CSS to build UI components faster and more consistently.
  7. Server-Side Web Development: Basics of back-end programming using Node.js, Express.js, and handling HTTP requests.
  8. Databases and Web Integration: Using databases like MongoDB or MySQL to store and retrieve data, and integrating them into web apps.
  9. Deployment and Hosting: Publishing websites using services like Netlify, Vercel, or traditional hosting. Managing domains and SSL certificates.
  10. Web Security and Best Practices: Common web vulnerabilities (XSS, SQL Injection), secure coding practices, and performance optimization.
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Smart Systems and IoT Engineering

Introduction

The Microcontroller, Robotics, and IoT Development course introduces learners to the fascinating world of embedded systems, connected devices, and smart robotics. It focuses on integrating microcontrollers (such as Arduino and ESP32), sensors, and communication protocols to build intelligent systems that interact with the physical world—including the development of basic robotic systems.

From controlling motors to deploying cloud-connected smart devices, learners will gain hands-on experience in building functional prototypes for automation, remote monitoring, and robotics applications.

Target Audience

This course is ideal for:

- Electronics, mechatronics, and IT students

- Makers and hobbyists interested in IoT and robotics

- Innovators building smart products or robotic systems

- Engineers exploring embedded and automation technologies

Course Objectives

Upon completion of this course, learners will be able to:

- Understand microcontroller and robotics fundamentals.

- Interface sensors, motors, and actuators with microcontrollers.

- Use wireless protocols to connect devices to the internet.

- Build and test IoT-enabled systems and basic robotic platforms.

- Collect, visualize, and control devices using cloud and mobile apps.

 

 Course Modules

  1. Introduction to Embedded Systems, IoT, and Robotics: Overview of embedded systems, IoT architecture, and how robotics ties into smart systems and automation.
  2. Microcontroller Basics (Arduino/ESP32): Introduction to microcontrollers and robot control boards; setting up IDEs and programming fundamentals.
  3. Digital and Analog I/O with Actuators: Working with LEDs, motors, push buttons, and sensors to simulate robotic functions and automation tasks.
  4. Sensor and Motor Integration: Interfacing ultrasonic sensors, motion detectors, servo motors, and DC motors for robotic movement.
  5. Serial Communication (UART, I2C, SPI): Using communication protocols to link microcontrollers with components like displays, sensors, and modules.
  6. Wireless Connectivity (Wi-Fi, Bluetooth): Adding wireless control to robots or devices using ESP32 and Bluetooth modules.
  7. IoT Protocols and Cloud Integration: Transmitting data from IoT or robotic systems to platforms like Firebase, Blynk, or ThingSpeak.
  8. Real-time Monitoring & Remote Control: Building dashboards and mobile interfaces to control robots or IoT systems remotely.
  9. Energy-Efficient Design: Power-saving strategies for mobile and autonomous systems, including battery optimization for robots.
  10. Capstone Project: Smart Robotic or IoT Application: Learners design and present a functional prototype such as a smart robot, home automation system, or environmental monitor.
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