| 1. Foundation |
Programming Mindset Foundation |
- Understand variables, data types, operators, conditional statements, loops.
- Practice writing small programs to solve simple problems.
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- Build logical thinking and understand how computers execute code.
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| 2. Tools |
Basic Programming Language |
- Choose a language (Python, C++, Java) and master its syntax.
- Learn about functions, standard libraries, and I/O management.
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- Proficiently use a language to implement ideas.
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| 3. Storage |
Basic Data Structures |
- Array, String, Linked List.
- Stack & Queue.
- Hash Table.
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- Understand how to organize and store data efficiently.
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| 4. Solutions |
Basic Algorithms |
- Sorting algorithms (Bubble, Selection, Insertion Sort).
- Searching algorithms (Linear, Binary Search).
- Recursion and how it works.
- Analysis of time and space complexity (Big O).
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- Master common problem-solving methods.
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| 5. Advanced |
Advanced Algorithms |
- Graph algorithms (BFS, DFS).
- Dynamic Programming.
- Greedy Algorithms.
- Divide & Conquer Algorithms.
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- Solve more complex problems with optimization techniques.
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| 6. Practice |
Sharpen Problem-Solving Skills |
- Participate on platforms like LeetCode, HackerRank, Codeforces.
- Start with easy problems and gradually increase difficulty.
- Learn to analyze, break down problems, and find solutions.
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- Turn theoretical knowledge into practical skills.
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| 7. Development |
Develop Advanced Mindset |
- Apply algorithms to small real-world projects.
- Read specialized books like "Cracking the Coding Interview".
- Challenge yourself in programming competitions to improve speed and thinking.
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- Reach a high level of proficiency in problem-solving with programming.
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