Object Oriented Design and Principles using Python
Description
This course introduces the core concepts of object-oriented programming aiming at data science students with no prior experience of object-oriented design and programming. It focuses on subjects such as classes, objects, encapsulation, abstraction, inheritance, polymorphism, and the practical application of object-oriented design that is most useful in the domain of data science. These topics include data structures such as Stacks, Queues, linked data structures and trees. Data Science professionals require to work with algorithms that run in a reasonable time on large data sets. For this, computational complexity as a tool to evaluate the efficiency of designed algorithms is introduced. The language of choice is Python. Prerequisite: LE/EECS 1015 3.00.
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