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This course is intended for professionals that lack formal education in computer science, and that are in search of a simple and practical guide to algorithmic complexity.
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What will you learn from this course?
- Need for Speed
- Analyzing Algorithms
- Analyzing Algorithms Part II
2. Formal Analysis Tools
- Functions and Their Growth
- Theta Notation
- Big O and Big Omega Notations
- Small omega and Small o Notations
- Problem Set 2
- Solution Set 2
- Recurrence Part II
- Binary Search – Recursive Implementation
- Dynamic Programming
- Linked List
- Hash Table
- Doubly Linked List
5. Amortized Analysis
- Cost Over Sequence of Operations
- Dynamic Array
- Fancy Stack
- Problem Set 5