Road to Computer Science - Updates (again)
Hello everyone, happy to write here again
After some testing and feedbacks from friends, i'll re-do the road to a free computer science, with updates from the platforms (Edx, Udacity & Coursera, fyi) and how to work on 'em again
Freshman - Fall
The fall season is usually the first time of the college years. So, 101 and introductory course are usually in the curricula. A cs background has many mandatory courses to do:
Freshman - Spring
Spring season, tough. tough a lot. Here are the courses:
Sophomore - Fall
After some testing and feedbacks from friends, i'll re-do the road to a free computer science, with updates from the platforms (Edx, Udacity & Coursera, fyi) and how to work on 'em again
Freshman - Fall
The fall season is usually the first time of the college years. So, 101 and introductory course are usually in the curricula. A cs background has many mandatory courses to do:
- Single Variable Calculus (or if you need that, a Precalculus course i really helpful)
- Introduction to Computer Science
- Physics
- Logic
- Circuits and Electricity (the first course is enough imo, but you can obviously do 3 of'em=
Freshman - Spring
Spring season, tough. tough a lot. Here are the courses:
Again, the sophomore fall course is really hard, which introduces a lot of important topics.
An important thing to say. On Edx now, many MITx courses are now not self-placed, so you actually can't do the weekly homeworks on the platform, due to the fact that they're simply not on Edx. Instead, you can go to the MIT OCW site and search for the exercises. For the computer architecture one you can find'em here. The courses are:
Sophomore - Spring
Let's just dig into the exams
- Statistic
- Programming languages (3-part course)
- Networking
- Software testing & debugging (testing here and debugging here)
- Compilers
Junior - Fall
Junior - Spring
From now on, i don't really know what to do sincerely. many other interesting topics can be covered tbh.
Things like linear integer programming, differential linear equations, convex optimisation, HPC architecture, apporximation algorithm and surely many other things that i don't really know about now.
See you soon :)
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