edX Complete your introductory knowledge of computer science with this final course on objects and algorithms. Now that you've learned about complex control structures and data structures, learn to develop programs that more intuitively leverage your natural understanding of problems through object-oriented programming. Then, learn to analyze the complexity and efficiency of these programs through algorithms. By the end of this course, you'll be able to write programs in Python that leverage your more natural understanding of data structures by creating objects to represent the structures you work with most often. For example, if you were creating a class roster application, you'll learn how to create an object representing a student's name, ID number, and attendance record. Then, you'll be able to create applications that leverage sorting and searching algorithms to sort that roster alphabetically, search for a particular student, and evaluate the efficiency of both those operations.
Course Objectives:
- Working with instances of objects in Python
- Creating new data structures using object-oriented programming
- Using objects with earlier control and data structures
- Writing common search algorithms, like linear and binary search
- Writing common sorting algorithms, like bubble sort, insertion sort, and merge sort
- Evaluating the computational complexity of algorithms using Big O notation.
Recommended Background
- Recommended for all individuals seeking to familiarise themselves with fundamental concepts in coding and algorithms.
Course ID
ED091
Skill Focus
Intermediate
Instructor(s)
edX
Employee Type
New applicants
Method of Delivery
Online
Estimated Effort
50 hrs
Cost
Contact for Pricing
Certification is paid for $ 99.00 ; Full financial aid available for certification