Introduction to Computer Programming
University of London International Programmes via Coursera
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Overview
Class Central Tips
This MOOC provides you with the foundational skill set required to write computer programs. If you are interested in learning how to write interactive, graphical programs from an introductory level in a real programming language, this is the course for you. You will begin by learning the basics of editing and running programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. You will even solve a set of interactive puzzles using your coding skills in the Sleuth game which has been created especially for this course. The course uses the Javascript language and the p5.js library.
Syllabus
- Your development environment
- In this topic you will learn about three key concepts: • The toolkit we will use to develop programs.• Drawing using simple shapes and 2D coordinates.• The process and experience of writing code.
- Drawing in 2D
- In this topic you will learn about three key concepts: • Set of 2D drawing functions in p5.js • Colour representation and styles • Debugging with the console
- Variables, objects and interaction
- In this topic you will learn about three concepts: • Variables and data • Simple interaction • Code organisation
Taught by
Dr Edward Anstead and Dr Simon Katan
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Reviews
3.5 rating, based on 2 Class Central reviews
4.1 rating at Coursera based on 866 ratings
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The course has been excellent from the beginning, and I haven't encountered any issues with video quality, sound quality, captions, etc. However, in Section 9, Chapter 187 (Calculation Groups, October 2023), I am facing a video clarity issue. During the video, the clarity automatically shifts to blurry, making the notes unreadable. This makes it difficult to see the digits and learn or clear any doubts. I kindly request that this issue be resolved as soon as possible. The rest of the course is fantastic.
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This course is incredibly diverse and stimulating. This covered a wide array of topics, from programming fundamentals to more specialized areas like artificial intelligence and data science. The course typically involved a mix of theory and practical application, offering a great balance between understanding the underlying concepts and actually implementing them. The field evolves rapidly, so these courses tend to stay current, reflecting the latest trends and technologies. However, they can also be quite challenging, demanding problem-solving skills and a knack for logical thinking. Overall, they're a fantastic way to dive into the world of technology and its endless possibilities!