Computer Programmer
Study Program Courses

This comprehensive Computer Programmer course is designed to equip learners with the foundational knowledge and practical skills necessary to develop, test, and maintain software applications. Students will gain hands-on experience in various programming languages, software development methodologies, and industry-standard tools. The course covers both the theoretical and practical aspects of programming, ensuring graduates are well-prepared for a wide range of careers in software development, web development, and IT systems support.

By the end of this course, students will have a strong understanding of programming logic, problem-solving techniques, and the ability to build functional and efficient software applications across various platforms.

Learning Details and Options

This course is ideal for aspiring software developers, IT professionals looking to expand their programming skills, or individuals wanting to transition into the tech industry.

Key Areas Covered

  • Introduction to Programming: Understanding the basics of programming languages, algorithms, and problem-solving.
  • Programming Languages: In-depth training on languages such as Python, Java, C++, and JavaScript.
  • Data Structures and Algorithms: Learn to organize, store, and manipulate data efficiently.
  • Software Development Methodologies: Familiarization with Agile, Scrum, and Waterfall models.
  • Object-Oriented Programming (OOP): Understand OOP principles and how to implement them in real-world projects.
  • Database Management: Learn how to design, implement, and query databases using SQL and NoSQL.
  • Web Development: Introduction to front-end (HTML, CSS, JavaScript) and back-end (Node.js, Django, etc.) web development frameworks.
  • Mobile Application Development: Develop apps for mobile platforms using technologies such as Flutter or React Native.
  • Version Control Systems: Working with Git and GitHub to manage code and collaborate effectively on projects.
  • Software Testing & Debugging: Techniques for testing software and resolving bugs efficiently.

Assessment & Project Types

Students will be assessed through a combination of theoretical and practical exercises to gauge their understanding and ability to apply programming concepts in real-world scenarios. The types of assessment will include:

  • Quizzes and Coding Challenges: Regular quizzes and code exercises to test conceptual understanding and programming skills.
  • Projects:
    • Individual Projects: Develop a small software application or website from scratch.
    • Group Projects: Collaborative projects simulating real-world software development, using Agile methodologies.
    • Capstone Project: A comprehensive, final project where students design, develop, and deploy a functional software solution based on a real-world problem.
  • Practical Coding Exams: Time-based exams where students demonstrate their coding skills in a controlled environment.
  • Peer Code Reviews: Students review and provide feedback on their peers’ code for improvement.

Learning Outcomes

By the end of the course, students will be able to:

  1. Write clean, efficient, and well-documented code in multiple programming languages.
  2. Apply algorithms and data structures effectively to solve complex problems.
  3. Build responsive web applications with front-end and back-end technologies.
  4. Develop mobile applications for both iOS and Android platforms.
  5. Implement object-oriented programming principles to create modular and scalable software.
  6. Manage version control using Git for collaboration in software development projects.
  7. Design and interact with databases using SQL and NoSQL technologies.
  8. Employ software development methodologies (e.g., Agile) in project management.
  9. Debug and test software to ensure functionality and resolve issues efficiently.
  10. Develop and deploy full-stack applications to real-world platforms.

Fast-Paced & Intensive Learning Option

  • Level: Diploma
  • Session Length: 1 session = 3 months
  • Course Duration: 5 sessions (15 months)
  • Tuition & Guidance Fees:
    • Ghc 2950 per session or
    • Ghc 1300 per month
  • Class Schedule: Monday to Friday, 08:00 am – 01:00 pm

Slow-Paced & Relaxed Learning Option

  • Level: Diploma
  • Session Length: 1 session = 3 months
  • Course Duration: 8 sessions (24 months)
  • Tuition & Guidance Fees:
    • Ghc 2460 per session or
    • Ghc 820 per month
  • Class Schedule: Friday to Sunday, 04:00 pm – 08:00 pm
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Computer Programmer Course Outline

Week 1: Introduction to Programming

  • Topics:
    • Overview of programming and software development
    • Understanding algorithms and flowcharts
    • Introduction to programming languages
  • Activities:
    • Install and set up development environments (IDE)
    • Simple coding exercises

Week 2: Programming Languages

  • Topics:
    • Basics of Python
    • Control structures: conditionals and loops
    • Functions and modules
  • Activities:
    • Create a simple program using Python
    • Code review sessions

Week 3: Advanced Programming Concepts

  • Topics:
    • Introduction to C++: syntax, variables, and data types
    • Memory management and pointers
    • Exception handling
  • Activities:
    • Build a basic console application in C++
    • Quizzes on syntax and programming concepts

Week 4: Data Structures and Algorithms

  • Topics:
    • Introduction to data structures (arrays, lists, stacks, queues)
    • Fundamental algorithms (sorting, searching)
    • Time complexity and Big O notation
  • Activities:
    • Implement data structures in Python/C++
    • Group discussion on algorithm efficiency

Week 5: Object-Oriented Programming (OOP)

  • Topics:
    • OOP principles: encapsulation, inheritance, polymorphism
    • Creating classes and objects in Python
  • Activities:
    • Develop a small OOP project (e.g., a library system)
    • Peer code reviews focusing on OOP principles

Week 6: Software Development Methodologies

  • Topics:
    • Overview of Agile and Scrum methodologies
    • Introduction to the Software Development Life Cycle (SDLC)
  • Activities:
    • Participate in a mock Agile sprint
    • Create user stories and tasks for a project

Week 7: Database Management

  • Topics:
    • Introduction to SQL and relational databases
    • Database design and normalization
    • Basic SQL queries: SELECT, INSERT, UPDATE, DELETE
  • Activities:
    • Design a simple database for a project
    • Practice SQL queries on a sample database

Week 8: Web Development Basics

  • Topics:
    • HTML, CSS, and JavaScript fundamentals
    • Building static web pages
    • Introduction to responsive design
  • Activities:
    • Create a personal portfolio website
    • Group project to design a mock website

Week 9: Advanced Web Development

  • Topics:
    • Introduction to back-end frameworks (Node.js, Django)
    • RESTful APIs and web services
    • Connecting front-end and back-end
  • Activities:
    • Build a simple web application with a back-end API
    • Implement authentication and session management

Week 10: Mobile Application Development

  • Topics:
    • Overview of mobile development frameworks (React Native, Flutter)
    • Building cross-platform applications
  • Activities:
    • Develop a basic mobile app
    • User testing and feedback sessions

Week 11: Version Control Systems

  • Topics:
    • Introduction to Git and GitHub
    • Branching, merging, and pull requests
    • Best practices for version control
  • Activities:
    • Set up a GitHub repository for projects
    • Collaborate on a group project using version control

Week 12: Software Testing & Capstone Project

  • Topics:
    • Testing methodologies: unit testing, integration testing, user acceptance testing
    • Debugging techniques
    • Project deployment and maintenance
  • Activities:
    • Finalize capstone projects (software solution)
    • Present projects to the class, including testing strategies and challenges faced

Assessment Overview

  • Quizzes and Coding Challenges: Weekly assessments to reinforce learning.
  • Projects: Individual and group projects throughout the course, culminating in a capstone project.
  • Practical Exams: Coding exams to demonstrate skills under time constraints.
  • Peer Reviews: Feedback sessions to encourage collaborative learning.

Learning Resources

  • Textbooks and online resources
  • Access to coding platforms and IDEs
  • Community forums for discussion and collaboration

This outline provides a structured approach to learning programming, ensuring that students gain both theoretical knowledge and practical experience.

This course is designed to provide the essential skills for anyone aspiring to become a professional smartphone repair technician.