Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course)

Course Feature
  • Cost
    Free
  • Provider
    Coursera
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    10th Jul, 2023
  • Learners
    No Information
  • Duration
    No Information
  • Instructor
    Shimon Schocken and Noam Nisan
Next Course
2.0
0 Ratings
Learn to build a modern computer from the ground up! This project-centered course will take you through six hands-on projects, from constructing elementary logic gates to creating a fully functioning general purpose computer. No prior computer science or engineering knowledge is required. You will use a software-based hardware simulator to build the computer on your own PC. The course consists of six modules, each with video lectures and a project. It can be completed in six weeks, but you can take it at your own pace. Watch the TED talk about this course by Googling "nand2tetris TED talk".
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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [June 30th, 2023]

This project-centered course, Build a Modern Computer from First Principles: From Nand to Tetris, will take learners on a journey to build a modern computer system from the ground up. Learners will be guided through six hands-on projects that will take them from constructing elementary logic gates all the way through creating a fully functioning general purpose computer. Along the way, learners will gain an understanding of how computers work and how they are designed. No prior computer science or engineering knowledge is required, and all learners are welcome. The course consists of six modules, each comprising a series of video lectures and a project. Each module will take approximately 2-3 hours to watch the lectures and 5-10 hours to complete the project. The course can be completed in six weeks, but learners are welcome to take it at their own pace. All the necessary knowledge and software tools will be provided after enrollment.

[Applications]
The application of this course can be seen in the field of computer engineering. After completing this course, learners will have a better understanding of how computers work and how they are designed. They will be able to apply the knowledge they have gained to create their own computer systems. Additionally, they will be able to use the skills they have acquired to make positive changes in their lives and careers.

[Career Paths]
The career path recommended to learners of this course is a Computer Engineer. A Computer Engineer is responsible for designing, developing, testing, and maintaining computer hardware and software systems. They must have a strong understanding of computer architecture, operating systems, and programming languages. They must also be able to troubleshoot and debug computer systems.

The development trend of this job position is towards the use of more advanced technologies such as artificial intelligence, machine learning, and cloud computing. Computer Engineers must stay up to date with the latest technologies and trends in order to remain competitive in the job market. They must also be able to work with a variety of stakeholders, including software developers, hardware engineers, and system administrators. As technology continues to evolve, the demand for Computer Engineers will continue to grow.

[Education Paths]
Recommended Educational Path:

For learners interested in pursuing a degree in computer science or engineering, the recommended educational path is to start with a Bachelor's degree in Computer Science or Engineering. This degree will provide a comprehensive overview of the fundamentals of computer science and engineering, including topics such as programming, algorithms, data structures, computer architecture, operating systems, and computer networks.

From there, learners can pursue a Master's degree in Computer Science or Engineering, which will provide a deeper understanding of the topics covered in the Bachelor's degree. This degree will also provide the opportunity to specialize in a particular area of computer science or engineering, such as artificial intelligence, computer graphics, or computer security.

Finally, learners can pursue a Doctoral degree in Computer Science or Engineering, which will provide an even deeper understanding of the topics covered in the Master's degree. This degree will also provide the opportunity to specialize in a particular area of computer science or engineering, such as machine learning, computer vision, or distributed systems.

The development trend for computer science and engineering degrees is to focus on the application of computer science and engineering principles to solve real-world problems. This includes the development of new technologies, such as artificial intelligence, machine learning, and robotics, as well as the application of existing technologies to solve problems in areas such as healthcare, finance, and transportation.

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