Data Structures: Trees & Graphs
Master the absolute fundamentals of Data Structures: Trees & Graphs through hands-on technical deep dives. Rather than skimming surface-level tutorials, this track enforces rigorous conceptual understanding and practical implementation. Expect to walk away with a profound mastery of the underlying architecture and the ability to solve complex engineering challenges.
About this Course
The fundamental CS knowledge required for Vector Search (HNSW), Parsers, and Databases. This Aspiring Software Engineers curriculum is designed to give you hands-on experience and deep conceptual understanding.
Across 8 intensive modules, you'll tackle real-world challenges and build practical projects that reinforce your learning. By the end of this journey, you'll have the skills and proof of work to demonstrate your expertise.
What you'll learn
Understand tree structures and recursive traversal.
Utilize trees for efficient search operations.
Ensure O(log n) time complexity by maintaining tree balance.
Explore trees used in database indexing and operating systems.
W1
Binary Trees and Traversals
Binary Trees and Traversals
Dive deep into the internals of Binary Trees and Traversals by comprehensively studying tree properties and traversal algorithms.
2 videos•27m
2 readings
2 topics
1 homework
References
Week 1: Binary Trees and Traversals
Week 2: Binary Search Trees (BST)
Week 3: Balanced Trees: AVL Trees
Week 4: Advanced Trees
Week 5: Graph Fundamentals and Representations
Week 6: Graph Traversal Algorithms
Week 7: Shortest Path Algorithms
Week 8: Advanced Graph Algorithms
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