📣 Advanced algorithms, where data structures turn into powerful solutions.

📘 Algorithms – Level 6

Advanced Algorithms, Advanced Data Structures, and Professional Problem Solving


🗝️ About This Course

This is the 23rd course in your programming journey — and the course where algorithmic mastery is built.


By now, you have already:

1️⃣ Built strong programming foundations
2️⃣ Mastered algorithmic thinking and problem solving
3️⃣ Learned clean code and Divide & Conquer
4️⃣ Worked deeply with data structures (basic and advanced)
5️⃣ Built real applications and systems
6️⃣ Gained strong experience with C#, databases, and architecture


At this stage, programming is no longer about syntax or tools.

👉 It is about choosing the right algorithm
👉 It is about performance, efficiency, and correctness
👉 It is about thinking like a system designer


This course exists to take your problem-solving skills to an advanced, professional level.


🔐 What Makes This Course Different?

🔹 Focuses on advanced algorithms, not basics
🔹 Uses advanced data structures to solve real problems
🔹 Explains why an algorithm works, not just how
🔹 Connects theory with implementation step by step
🔹 Emphasizes time & space complexity in every solution
🔹 Contains a very large number of practice problems
🔹 Builds confidence in solving hard problems, not toy examples


This course teaches a critical lesson:

👉 Algorithms are tools — knowing when and why to use them is the real skill.


📖 What You Will Learn?

By the end of this course, you will be able to:

🔹 Design and analyze advanced algorithms
🔹 Apply searching and sorting algorithms correctly
🔹 Work confidently with trees (BST, AVL, Red-Black Trees)
🔹 Traverse trees and graphs using DFS and BFS
🔹 Solve shortest-path problems using Dijkstra
🔹 Use greedy algorithms for optimization problems
🔹 Apply heaps and priority queues effectively
🔹 Select the best algorithm based on constraints and complexity

You will stop asking “How do I code this?” and start asking “What is the best algorithm here?”


🧱 How This Course Is Structured?

This course is heavy, deep, and practice-intensive:

🔹 Core algorithm explanations
🔹 Step-by-step implementations
🔹 Advanced tree and graph algorithms
🔹 Hundreds of structured problems covering:
• Stacks & Queues
• Trees & Graphs
• Hash tables & sets
• Heaps & priority queues
• Real-world simulations


For each problem:

  • You analyze the problem
  • You choose the data structure
  • You select the algorithm
  • You study the professional
  • solution
  • You learn optimization techniques


📌 This is where data structures and algorithms fully connect.


🧠 Why This Course Comes Here?

Advanced algorithms must not be taught early.

If taught too soon:
❌ Students feel overwhelmed
❌ Algorithms turn into memorization
❌ Many quit programming completely

Here — at this stage:
✅ You understand foundations
✅ You can reason about complexity
✅ You are mentally ready
✅ Algorithms feel logical, not scary


This placement is intentional and critical.


🧑‍💻 Who This Course Is For?

✅ Students who completed Data Structures – Level 2
✅ Learners aiming for strong backend or system roles
✅ Developers preparing for advanced interviews
✅ Programmers who want real algorithmic strength
✅ Anyone serious about mastering problem solving

❌ Not for beginners
❌ Not for shortcut seekers


🎓 Certification & Learning Outcomes

Upon successful completion of this course, the learner will earn a:

Certificate in Algorithms – Level 6, verifying the ability to:

🔹 Design and analyze advanced algorithms
🔹 Use trees, graphs, and heaps professionally
🔹 Solve complex problems efficiently
🔹 Apply correct data structures in real scenarios
🔹 Think algorithmically at a system level


🔐 This certification confirms advanced problem-solving capability, not basic knowledge.


🎓 Final Outcome


After completing this course, you will not just “know algorithms”.

You will be able to:

🔹 Analyze problems deeply
🔹 Choose optimal solutions confidently
🔹 Control performance and scalability
🔹 Solve hard problems without fear
🔹 Think like a professional software engineer


🧠 Advanced algorithms build powerful thinkers. Powerful thinkers build great software.

Course Content

  Important Introduction
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  Basic Searching Algorithms
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  Simple Sorts
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  Tree Algorithms - Tree Traversal
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  Binary Search Tree (BST)
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  Problems with BST
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  Balanced Tree - AVL Tree
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  Balanced Trees - Red-Black Tree
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  Graph Traversals - BFS and DFS
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  Shortest Path in Graphs
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  Shortest Path Algorithms
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  Shortest Path Algorithms - Single-source shortest path
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  Greedy Algorithms
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  Queue & Stack Problems (30)
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  Dictionary & Hashset Problems (20)
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  Sorted List Problems (11)
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  Observable Collection Problems (7)
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  Jagged Array Problems (7)
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  Tuples Problems (5)
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  BitArray Problems (12)
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  Hash Table / SortedList / SortedSet Problems (13)
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  Trees Problems (12)
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  Conclusion
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