Advanced Data Structures & Algorithms in Java: Working With Binary Trees
Java SE 13
| Intermediate
- 17 Videos | 1h 24m 38s
- Includes Assessment
- Earns a Badge
A solid understanding of data structures and algorithms is fundamental to writing clean, performant, fast, and robust programs without relying on scarce resources. To capitalize on this, Software Engineers need to recognize the core concepts of basic data structures, their characteristics, and the algorithms behind them. In this course, you'll identify the basic structure and representation of a binary tree and tree traversal algorithms. You'll learn how binary trees are essentially nodes that have references to their left and right children. You'll explore how nodes of a binary tree can be traversed using depth-first traversal and breadth-first traversal. Finally, you'll recognize the three flavors that exist for depth-first traversal: pre-order, post-order, and in-order traversal.
WHAT YOU WILL LEARN
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discover the key concepts covered in this courserecognize the characteristics of binary treessummarize breadth-first traversal in a binary treesummarize depth-first traversal in a binary treeexplain depth-first, pre-order traversal in a binary treeexplain depth-first, in-order traversal in a binary treeexplain depth-first, post-order traversal in a binary treerepresent a binary tree using the Java programming languagewrite and execute code which performs breadth-first traversal
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visualize the levels of nodes visited in breadth-first traversaluse in-order traversal to traverse nodes via the left child, parent, and then right childimplement in-order traversal using recursionuse pre-order traversal to traverse nodes via the parent, left child, and then right childimplement pre-order traversal using recursionuse post-order traversal to traverse nodes via the left child, right child, and then parentimplement post-order traversal using recursionsummarize the key concepts covered in this course
IN THIS COURSE
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1.Course Overview1m 57sUP NEXT
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2.Characteristics of Binary Trees10m 37s
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3.Breadth-first Traversal6m 35s
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4.Depth-first Traversal3m 29s
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5.Depth-first Pre-order Traversal5m 29s
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6.Depth-first In-order Traversal4m 54s
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7.Depth-first Post-order Traversal4m 20s
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8.Representing a Binary Tree5m 13s
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9.Implementing Breadth-first Traversal6m 19s
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10.Viewing Levels in Breadth-first Traversal5m 36s
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11.Implementing In-order Traversal Using a Stack7m 51s
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12.Implementing In-order Traversal Using Recursion2m 55s
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13.Implementing Pre-order Traversal Using a Stack5m 29s
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14.Implementing Pre-order Traversal Using Recursion3m 6s
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15.Implementing Post-order Traversal Using a Stack6m 47s
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16.Implementing Post-order Traversal Using Recursion2m 28s
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17.Course Summary1m 33s
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