Introduction to Computer Science

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Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be tau...
Harvard University, the Massachusetts Institute of Technology, and the University of California, Berkeley, are just some of the schools that you have at your fingertips with edX. Through massive open online courses (MOOCs) from the world's best universities, you can develop your knowledge in literature, math, history, food and nutrition, and more. These online classes are taught by highly-regarded experts in the field. If you take a class on computer science through Harvard, you may be taught by David J. Malan, a senior lecturer on computer science at Harvard University for the School of Engineering and Applied Sciences. But there's not just one professor - you have access to the entire teaching staff, allowing you to receive feedback on assignments straight from the experts. Pursue a Verified Certificate to document your achievements and use your coursework for job and school applications, promotions, and more. EdX also works with top universities to conduct research, allowing them to learn more about learning. Using their findings, edX is able to provide students with the best and most effective courses, constantly enhancing the student experience.

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Course Description

This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2016, the on-campus version of CS50x, CS50, was Harvard's largest course.

Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are eligible for a certificate. This is a self-paced course–you may take CS50x on your own sche...

This is CS50x, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. As of Fall 2016, the on-campus version of CS50x, CS50, was Harvard's largest course.

Students who earn a satisfactory score on 9 problem sets (i.e., programming assignments) and a final project are eligible for a certificate. This is a self-paced course–you may take CS50x on your own schedule.


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Reviews 9/10 stars
181 Reviews for Introduction to Computer Science

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Mukesh Pathak profile image
Mukesh Pathak profile image

Mukesh Pathak

7/10 starsCompleted
4 years, 9 months ago
First of all, I need to say that I had previous knowledge in programming languages, and even though I hadn't written in pure C for almost 2 years, it might have been easier for me. I've learned everything I know about CS on the internet and tried most of the different types : \- Written tutorials, some small around one notion, others on a whole language. \- Walkthroughs and videos (like The New Boston). \- Interactive and gamified tutorials (Codecademy's Python, Codeschool, CodeAvengers, and many others). \- iTunes U lectures (Stanford's CS193P - iPhone development) \- Online courses such as Coursera's CS215. \- I've never bought books and never had the need to. And yet, none of this was quite like CS50x. # The lectures The lecture are one of the most important parts of the course, David J. Malan is a great lecturer. He uses clever real life examples to make complicated notions easier, in fact, you don't need any programming experien... First of all, I need to say that I had previous knowledge in programming languages, and even though I hadn't written in pure C for almost 2 years, it might have been easier for me. I've learned everything I know about CS on the internet and tried most of the different types : \- Written tutorials, some small around one notion, others on a whole language. \- Walkthroughs and videos (like The New Boston). \- Interactive and gamified tutorials (Codecademy's Python, Codeschool, CodeAvengers, and many others). \- iTunes U lectures (Stanford's CS193P - iPhone development) \- Online courses such as Coursera's CS215. \- I've never bought books and never had the need to. And yet, none of this was quite like CS50x. # The lectures The lecture are one of the most important parts of the course, David J. Malan is a great lecturer. He uses clever real life examples to make complicated notions easier, in fact, you don't need any programming experience and it's still useful in non- programming jobs. Unlike many other programming courses, there is a balance between explanations and the actual code itself, not just slides without any context. Because Malan writes the code during the lectures, there are some unexpected events, bugs and typos. And indeed making errors is an important part of the process, so by showing mistakes we can encounter that makes the lectures interactive and close to real life programming.
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