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Entire MIT Computer Science Curriculum (4 Years) in 1,079 YouTube Videos FREE


Genie

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Title says it all really, might help pass the remainder of lockdown 3.

I spotted it on Hot UK Deals

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Entire Computer Science Curriculum (4 Year) in 1079 YouTube Videos FREE

- 40 courses
- 4 academic years of Computer Science curriculum
- Total of 1079 YouTube videos.

Laconic Machine Learning has put together an equivalent 4 year Computer Science curriculum using quality videos from various sources including MIT. The videos vary in length, up to 4+ hours.

If you learn well on your own and the video structure works for you, this is a good source for picking up a few areas or going through the whole curriculum. 

When you visit the page, videos are listed by year and semester. Clicking on a year or semester shows the list of subjects for that segment. 

The site navigation isn't obvious - to see the description and links to videos, you can click anywhere in the row of the title, not on the title text itself.

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This is the list of subjects by year and semester:

Year 1: / Semester 1
Structured Programming (Programming in C)
Discrete Mathematics Part 1
Calculus Part 1
Introduction to Computer Science and Programming
Intro to Python Programming

Year 1: / Semester 2
Calculus Part 2
Discrete Mathematics Part 2
Introduction to C++ and Object-Oriented Programming
Computer System Architecture
Introduction to Web Design (HTML + CSS)

Year 2: / Semester 3
Probability
Statistics
Algorithms and Data Structures
Intro to Client-Side Development
Linear Algebra

Year 2: / Semester 4
Operating Systems
Artificial Intelligence
Software Engineering
Advanced Algorithms
Dynamic Programming

Year 3: / Semester 5
Databases (SQL)
Web Application Development
Machine Learning
Client-Side Development with React
Distributed Computing & Systems

Year 3: / Semester 6
Non-Relational Databases
Introduction to Deep Learning
Practical Implementation of Neural Networks
Mobile Applications – iOS Development
Mobile Applications – Android Development

Year 4: / Semester 7
Signals and Systems (Digital Signal Processing)
Natural Language Understanding
Intelligent Mobile Applications
Computer Vision
Robotics

Year 4: / Semester 8
Natural Language Processing with Deep Learning
Reinforcement Learning
Introduction to Bioinformatics
Self-Driving Cars
Machine Learning for Healthcare

 

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