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Programming Curriculum Outline

The document outlines a comprehensive programming curriculum that includes foundational topics such as programming basics, data structures, and object-oriented programming, followed by intermediate concepts like algorithms and file I/O. It also offers specializations in areas such as web development, data science, game development, mobile development, and DevOps. Advanced topics cover design patterns, databases, security, and software engineering practices, culminating in a capstone project to build a full-scale application.

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23 views4 pages

Programming Curriculum Outline

The document outlines a comprehensive programming curriculum that includes foundational topics such as programming basics, data structures, and object-oriented programming, followed by intermediate concepts like algorithms and file I/O. It also offers specializations in areas such as web development, data science, game development, mobile development, and DevOps. Advanced topics cover design patterns, databases, security, and software engineering practices, culminating in a capstone project to build a full-scale application.

Uploaded by

donatudanggg
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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💻 Programming Curriculum Outline

🧱 Foundations (Beginner Level)


1. Introduction to Programming
 What is programming?
 Algorithms and flowcharts
 Introduction to pseudocode
 Installing development tools (VS Code, terminals)
2. Programming Basics (Choose a language: Python, JavaScript, or Java)
 Variables and data types
 Conditionals (if/else)
 Loops (for/while)
 Functions
 Basic I/O
3. Data Structures
 Arrays and lists
 Dictionaries/maps
 Sets and tuples
 Stacks and queues
4. Object-Oriented Programming (OOP)
 Classes and objects
 Encapsulation, inheritance, polymorphism
 Constructors and destructors
5. Debugging and Testing
 Reading error messages
 Writing unit tests
 Using debuggers
⚙️Intermediate Concepts
6. Algorithms and Problem Solving
 Sorting (bubble, selection, merge, quick)
 Searching (linear, binary)
 Recursion
 Time and space complexity (Big-O notation)
7. Intermediate Data Structures
 Linked lists
 Trees (binary trees, BSTs)
 Hash tables
 Graphs (intro and traversals)
8. File I/O & Data Processing
 Reading and writing files
 Working with CSV, JSON
 Basic data validation

🌐 Specializations (Choose One or More)


A. Web Development
 HTML, CSS, JavaScript
 Frontend frameworks (React, Vue)
 Backend (Node.js, Express or Django/Flask)
 Databases (SQL, MongoDB)
 REST APIs
B. Data Science / AI
 Python with NumPy, Pandas
 Data visualization (Matplotlib, Seaborn)
 Intro to Machine Learning (Scikit-learn)
 Jupyter Notebooks
C. Game Development
 Game loops and physics
 Using game engines (Unity with C#, or Godot with GDScript)
 Sprite handling and animations
D. Mobile Development
 Native (Swift for iOS, Kotlin for Android)
 Cross-platform (React Native, Flutter)
E. DevOps / Cloud
 Version control (Git/GitHub)
 CI/CD basics
 Docker, Kubernetes intro
 Cloud services (AWS, GCP, Azure basics)

🚀 Advanced Topics
9. Design Patterns
 Singleton, Factory, Observer, Strategy, etc.
 Clean code practices
10. Databases and Systems
 Advanced SQL queries
 Database normalization
 Caching
 Distributed systems basics
11. Security and Performance
 Authentication and authorization
 Hashing and encryption
 Code optimization
12. Software Engineering Practices
 Agile and Scrum
 Project planning
 Code reviews and collaboration tools

📘 Capstone Project
 Build a full-scale application
 Include frontend + backend (if applicable)
 Real-world data and user authentication
 Document it as a portfolio project

Suggested Timeline
 Bootcamp: 3–6 months
 Self-paced: 6–12 months
 University-level: 2–4 years with electives and theory

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