Data Structures & Performance Analysis

Overview

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This course teaches how to implement core data structures in Python, analyse their algorithmic performance, compare implementation trade-offs, and select structures and algorithms for efficient, scalable programs.

Syllabus

Explain the characteristics and use-cases of core data structures including lists, stacks, queues, trees, and graphs.
Implement appropriate Python data structures to solve computational problems efficiently.
Analyse algorithm performance using empirical timing techniques and Big-O time and space complexity.
Compare multiple data structure and algorithm implementations to identify performance trade-offs.
Select and apply suitable data structures and algorithms to optimise program efficiency and scalability.