Solving the Most Strongly Connected Ones Problem Computer Science |
- Solving the Most Strongly Connected Ones Problem
- Background needed to learn fundamental OS theory
- Nth Smallest Number in a Stream
- Language shift(L) seems to be co-np complete in n^2 x n^2 Sudoku Generation
- The Big Picture: Google Releases Massive Landmark Recognition Dataset
- What is the expected salary of a Graudated Student planning to do Software engineering in the uk
- What is this about.
- Researchers Question KDD 2019 Paper Review Process
- Graph Data Structures and Traversal Algorithms Made Easy
- Learning CS concepts using one language vs many
| Solving the Most Strongly Connected Ones Problem Posted: 03 May 2019 07:03 PM PDT |
| Background needed to learn fundamental OS theory Posted: 03 May 2019 01:18 PM PDT I'm looking to find material to supplement my deficiency in OS theory. I'm trying to piece together OS study material with a limited Comp sci background and highest mathematics is algebra. People have mentioned various books and resources such as (Operating Systems: Three Easy Pieces ) but I find that I'm missing pre-requisite knowledge on the matter to fully digest such material. Any suggestions on how to get up to speed to fully learn OS theory. Preferably material that assumes you know no compsci or little math to build up. I'm not against learning the math required either but I need a structured/guided approach [link] [comments]  |
| Nth Smallest Number in a Stream Posted: 03 May 2019 09:45 PM PDT |
| Language shift(L) seems to be co-np complete in n^2 x n^2 Sudoku Generation Posted: 03 May 2019 06:33 PM PDT |
| The Big Picture: Google Releases Massive Landmark Recognition Dataset Posted: 03 May 2019 02:14 PM PDT |
| What is the expected salary of a Graudated Student planning to do Software engineering in the uk Posted: 03 May 2019 12:16 PM PDT |
| Posted: 03 May 2019 05:12 PM PDT |
| Researchers Question KDD 2019 Paper Review Process Posted: 03 May 2019 08:11 AM PDT |
| Graph Data Structures and Traversal Algorithms Made Easy Posted: 03 May 2019 07:44 AM PDT |
| Learning CS concepts using one language vs many Posted: 03 May 2019 05:13 AM PDT Recently I was surfing through the undergraduate curriculums for CS majors of some of the major schools like MIT, Berkeley, Stanford, CMU etc. There was a striking difference between MIT and the rest. I noticed that MIT used Python as the main vehicle in most of its lower division courses(intro to programming, algorithms,etc), whereas, in schools like Berkeley, Stanford, CMU they keep on changing languages after the introductory course. I was wondering what are the effects of either ways. I would like to hear from people of reddit about their opinion on the same and also if someone is from any of the schools also want to throw in their bit they are most welcome. [link] [comments]  |
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