Computing in Python IV: Objects & Algorithms
About this Course
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. In addition, certify your broader knowledge of Introduction to Computing with a comprehensive exam. 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. Structurally, the course is comprised of several parts. Instruction is delivered via a series of short (2-3 minute) videos. In between those videos, you'll complete both multiple choice questions and coding problems to demonstrate your knowledge of the material that was just covered. These exercises count for 20% of your grade. Then, after each major chapter, you'll complete a problem set of collected, more challenging problems. These count for 40% of your grade. Finally, you'll complete a final course exam, which counts for the remaining 40% of your grade.Created by: The Georgia Institute of Technology
Level: Introductory
Related Online Courses
Critical urban infrastructure including energy, transportation, waste management, emergency service and communication systems are being hacked remotely by cyber attackers. These hackers use... more
Magma leverages open source software and commodity hardware to help operators manage their networks efficiently. It provides a high level of automation, high reliability, and the ability to deliver... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
During this learning journey, you will be learning how to apply modernization in your Hybrid Cloud environment including IBM Z. We will look at lifecycle enablement by using DevOps, how to create... more
Real time operating systems (RTOS) play an important role in any embedded system, enabling users to control the time critical functions required to be handled within specific timeframes for the... more