subject
Intro

Coursera: Principles of Computing (Part 2)

 with  Scott Rixner, Joe Warren and Luay Nakhleh
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. The main focus of the class will be weekly mini-projects that build upon the mathematical and programming principles that are taught in the class. To keep the class fun and engaging, many of the projects will involve working with strategy-based games.

In part 2 of this course, the programming portion of the class will focus on concepts such as recursion, assertions, and invariants. The mathematical portion of the class will focus on searching, sorting, and recursive data structures. Upon completing this course, you will have a solid foundation in the principles of computation and programming. This will prepare you for the next course in the specialization, which will begin to introduce a structured approach to developing and analyzing algorithms. Developing such algorithmic thinking skills will be critical to writing large scale software and solving real world computational problems.

Syllabus

Searching and Data Structures
This week, we will explain the importance of searching. We will also explore various data structures and learn about inheritance.

Recursion
This week, we will explain the importance of recursion.

Trees
This week, we will explain the importance of trees. We will also explore how to set up game trees so that we can efficiently search them.

Modeling, Assertions, and Invariants
This week, we will explain the importance of modeling. We will also explore how to use assertions and invariants to ensure that our models are always consistent and correct.

16 Student
reviews
Cost Free Online Course (Audit)
Pace Upcoming
Institution Rice University
Provider Coursera
Language English
Certificates Paid Certificate Available
Hours 7-10 hours a week
Calendar 4 weeks long
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What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
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16 reviews for Coursera's Principles of Computing (Part 2)

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a year ago
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Eric Colon completed this course, spending 12 hours a week on it and found the course difficulty to be hard.
A big step up in terms of difficulty compared to the rest of the specialization. I did pass but I think I will stop here for a while and look for other courses on this subject.
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10 months ago
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Raphael Favero completed this course.
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2 years ago
Colin Khein completed this course.
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2 years ago
Bhuvan N completed this course, spending 8 hours a week on it and found the course difficulty to be medium.
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2 years ago
Mark Henry Butler completed this course.
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a year ago
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M S completed this course.
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2 years ago
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2 years ago
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Rafael Prados completed this course.
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2 years ago
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2 years ago
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a year ago
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8 months ago
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a year ago
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2 years ago
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Steven Peterson completed this course.
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