Search result for Courses taught by Luay Nakhleh
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Principles of Computing (Part 1)
by Scott Rixner , Joe Warren , Luay Nakhleh- 4.7
Approx. 19 hours to complete
This two-part course builds upon the programming skills that you learned in our Introduction to Interactive Programming in Python course. We will augment those skills with both important programming practices and critical mathematical problem solving skills. These skills underlie larger scale computational problem solving and programming. Required Python knowledge, coding standards, and machine grading...
Algorithmic Thinking (Part 1)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. In part 1 of this course, we will study the notion of algorithmic efficiency and consider its application to several problems from graph theory. Module 1 - Core Materials...
Principles of Computing (Part 2)
by Scott Rixner , Joe Warren , Luay Nakhleh- 4.8
Approx. 16 hours to complete
This two-part course introduces the basic mathematical and programming principles that underlie much of Computer Science. Understanding these principles is crucial to the process of creating efficient and well-structured solutions for computational problems. To get hands-on experience working with these concepts, we will use the Python programming language. Searching and Data Structures...
Algorithmic Thinking (Part 2)
by Luay Nakhleh , Scott Rixner , Joe Warren- 4.7
Approx. 12 hours to complete
Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language. This two-part class is designed to train students in the mathematical concepts and process of "Algorithmic Thinking", allowing them to build simpler, more efficient solutions to computational problems. Module 3 - Core Materials...
The Fundamentals of Computing Capstone Exam
by Joe Warren , Scott Rixner , Luay Nakhleh- 4.8
Approx. 1 hour to complete
While most specializations on Coursera conclude with a project-based course, students in the "Fundamentals of Computing" specialization have completed more than 20+ projects during the first six courses of the specialization. With this objective in mind, the focus in this Capstone class will be an exam whose questions are updated periodically....
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Learn online and earn valuable credentials from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, business, and dozens of other topics....
Course Definition & Meaning - Merriam-Webster
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course: [noun] the act or action of moving in a path from point to point....
Free Online Courses | Stanford Online
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Free Online Courses. Our free online courses provide you with an affordable and flexible way to learn new skills and study new and emerging topics. Learn from Stanford instructors and industry experts at no cost to you....
Online Courses - Learn Anything, On Your Schedule | Udemy
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Udemy is an online learning and teaching marketplace with over 185,000 courses and 49 million students. Learn programming, marketing, data science and more....
Courses » Academics | Boston University
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Courses. The listing of a course description here does not guarantee a course’s being offered in a particular semester. Please refer to the published schedule of classes on the Student Link for confirmation a class is actually being taught and for specific course meeting dates and times....