Also, the more memory a data structure uses, the less CPU time associated algorithms will need to process the data items–leading to faster algorithm results. As much as possible, you should ...

Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...

This is a graduate course on algorithms. We will focus on studying basic algorithms at a finer level of detail and more advanced algorithms and data structures “Concrete” Mathematics: Solving ...

Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.

Basic Knowledge of Python is essential, such as provided by ST101 or a pre-sessional provided by the Digital Skills Lab. Course content. Introduction to the fundamental principles of data structures ...