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6.0001 is intended to teach basic programming concepts to students with no prior coding experience. ( Dboybaker, licensed CC-BY-NC-SA) arrow_back browse course material library_books Course Description6.0001 Introduction to Computer Science and Programming in Python is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language. Course InfoThere is one session available:1,520,548 already enrolled! Started Aug 24 Ends Oct 26 I would like to receive email from MITx and learn about other offerings related to Introduction to Computer Science and Programming Using Python. Frequently Asked Questions 9 weeks 14–16 hours per week Instructor-paced Instructor-led on a course schedule Free Optional upgrade available There is one session available:Started Aug 24 Ends Oct 26 I would like to receive email from MITx and learn about other offerings related to Introduction to Computer Science and Programming Using Python. Introduction to Computer Science and Programming Using Python
This course is the first of a two-course sequence: Introduction to Computer Science and Programming Using Python, and Introduction to Computational Thinking and Data Science. Together, they are designed to help people with no prior exposure to computer science or programming learn to think computationally and write programs to tackle useful problems. Some of the people taking the two courses will use them as a stepping stone to more advanced computer science courses, but for many it will be their first and last computer science courses. This run features lecture videos, lecture exercises, and problem sets using Python 3.5. Even if you previously took the course with Python 2.7, you will be able to easily transition to Python 3.5 in future courses, or enroll now to refresh your learning. Since these courses may be the only formal computer science courses many of the students take, we have chosen to focus on breadth rather than depth. The goal is to provide students with a brief introduction to many topics so they will have an idea of what is possible when they need to think about how to use computation to accomplish some goal later in their career. That said, they are not "computation appreciation" courses. They are challenging and rigorous courses in which the students spend a lot of time and effort learning to bend the computer to their will At a glance
About the instructorsAbout Charter Oak State College Credit-Eligible Courses: Credit details: Number of credit hours for this course: 3 credit hours
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Read our FAQsin a new tab about frequently asked questions on these tracks. Interested in this course for your business or team?Train your employees in the most in-demand topics, with edX For Business. What is Introduction to programming Using Python?What you'll learn. Get user-input data and manipulate it using Python.. Implement basic Python structures such as if statements, loops, and functions.. Read and write external data files using Python.. Implement functions and call built-in Python functions.. Import and use library function modules from the Python library.. What is Python programming in computer science?Python is a computer programming language often used to build websites and software, automate tasks, and conduct data analysis. Python is a general-purpose language, meaning it can be used to create a variety of different programs and isn't specialized for any specific problems.
How long is Introduction to computer science and programming Using Python?Introduction to Computer Science and Programming Using Python. 9 weeks. 14–16 hours per week.. Instructor-paced. Instructor-led on a course schedule.. What is introduction to computer programming?In this course, students learn the fundamentals of computer programming that serve as a foundation for developing software applications and further exploration of programming languages.
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