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Certification Course

Computing in Python IV: Objects & Algorithms

Learn about the more advanced applications of introductory computer science by covering search algorithms, sorting algorithms, and object-oriented programming. Taught in Python, these lessons are readily generalizable to other languages as well.

In this course, you will learn:

In Python, working with object instances.
Object-oriented programming is used to create new data structures.
Objects are used in conjunction with previous control and data structures.
Common search algorithms, such as linear and binary search, are written.
Common sorting algorithms, such as bubble sort, insertion sort, and merge sort, are written.
Using Big O notation to evaluate the computational complexity of algorithms.

Syllabus:

Objects. Working with instances of complex data types or defining your own, like creating a class to represent a video game character, a class syllabus, or an item for sale.
Algorithms. Creating complex code for searching in large lists or sorting lists of data, and analyzing code for its complexity.
Course Recap. A comprehensive review of the Xseries as a whole, leading into the final exam.