Ever wondered what a CS degree looks like in Canada? Computer Science |
- Ever wondered what a CS degree looks like in Canada?
- Highest Paying Programming Languages in 2021
- What are some examples of real world problems solved by parallel computing? And of distributed computing?
Ever wondered what a CS degree looks like in Canada? Posted: 02 Apr 2021 08:42 PM PDT Hello guys, I am a recent CS graduate from the University of Alberta, one of the top universities in Canada. I wanted to share with you what a CS degree looks like here, all the way up north, and more specifically show what sort of courses a student interested in the Systems side of things might take. This might be quite insightful to some of you, and I hope that it might help some of you decide on what courses you might want to take in the future. If you look at my post history, you will I actually posted my video on computer architecture on here and on /r/computerscience a while back, and some of you guys liked it. So, please enjoy the video I made, and feel free to provide some feedback so that I can improve on my future videos :) Here is the link to the video: https://youtu.be/WiVujkjU0Ns ~ArseniyKD. [link] [comments] |
Highest Paying Programming Languages in 2021 Posted: 03 Apr 2021 12:27 AM PDT |
Posted: 25 Mar 2021 03:18 PM PDT I think I understand the differences between these two concepts but I would like to dive deeper into one of these fields. Before I do, I'm wondering what real world problems these solve. I am interested in AI/ML and I know GPUs are central in DL so parallel computing comes into play here. I also know that supercomputers utilize massive distributed systems. So I am looking for more examples of real world applications that distinguish these. I don't have much experience working with low level systems which I think is vital for parallel computing, and I don't have much experience with networking which I think is vital for distributed computing. Beyond this, I was wondering which field would be considered "deeper", e.g. more to learn. [link] [comments] |
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