Your method of teaching is exceptional! I believe you're going in the same sequence a textbook goes but in a much more simplified manner while not missing the important aspects of diagrams, algorithm workflow, properties, space-time complexity and last but not least the pseudocode. Thank you... really.
I made a publicly accessible copy of the course on canvas (see video description; just updated). The slides are always in the summary of the units so in this case the unit on graph algorithms. The somewhat direct link to the slides (this includes the complete set on elementary graph algorithms) should be: canvas.instructure.com/courses/3752774/files/158068189?wrap=1 Let me know in case it doesn't work.
Thanks for pointing this out! I hadn't set the video language, so youtube must have guessed it incorrectly. Now the video has English (auto-generated) captions.
Thanks for the feedback! Are you saying that I should aim at longer videos than this one, or that some of the other videos are too long? Some background: Most videos originate from 90 min lectures, which end up being 60+ min of video material. By breaking this in half, I get 30 min + x. This lecture has three parts (intro to graphs, BFS and DFS (this video)), so I decided to break it into those three parts.
@@algorithmslab Sounds good, my point is that most people prefer a video duration around 30 to 40. You may get more audience if that is followed, but for some one who really want to learn, it is not a bottle neck, Also can you come up with some future videos on flow networks/ CLRS chapter 26
@@jomsantony2550 Flow networks are on my bucket list (I am teaching them again next summer anyway), but I am not sure yet how soon I will come around to making those videos.
@@jomsantony2550 No, so far I didn't stream lectures publically. And also recordings of lectures given in the classroom I only make (when at all) as reference material for my students, since the classroom interaction doesn't map well to video. For the fun of it, I unburied an old lecture on network flow: ruclips.net/video/jgjtFRoh40M/видео.html Note: I actually don't have a recording of the follow-up lecture.
Exceptional and Deep coverage, Expecting more such videos
Your method of teaching is exceptional! I believe you're going in the same sequence a textbook goes but in a much more simplified manner while not missing the important aspects of diagrams, algorithm workflow, properties, space-time complexity and last but not least the pseudocode.
Thank you... really.
sir I very very love u 😘😘
Happy to hear that the videos are helpful!
thank u so much sir. From where can i get these slides?
I made a publicly accessible copy of the course on canvas (see video description; just updated). The slides are always in the summary of the units so in this case the unit on graph algorithms. The somewhat direct link to the slides (this includes the complete set on elementary graph algorithms) should be: canvas.instructure.com/courses/3752774/files/158068189?wrap=1 Let me know in case it doesn't work.
thank you so much professor! One a side note i think there is an issue with auto generated subtitles, for some reason it detects it as german.
Thanks for pointing this out! I hadn't set the video language, so youtube must have guessed it incorrectly. Now the video has English (auto-generated) captions.
It will be good , if the video duration is kept around 30 mins for all the videos
Thanks for the feedback! Are you saying that I should aim at longer videos than this one, or that some of the other videos are too long? Some background: Most videos originate from 90 min lectures, which end up being 60+ min of video material. By breaking this in half, I get 30 min + x. This lecture has three parts (intro to graphs, BFS and DFS (this video)), so I decided to break it into those three parts.
@@algorithmslab Sounds good, my point is that most people prefer a video duration around 30 to 40. You may get more audience if that is followed, but for some one who really want to learn, it is not a bottle neck, Also can you come up with some future videos on flow networks/ CLRS chapter 26
@@jomsantony2550 Flow networks are on my bucket list (I am teaching them again next summer anyway), but I am not sure yet how soon I will come around to making those videos.
@@algorithmslab Just curious to know if your Data's Structures and Algorithms live lectures are available for viewing
@@jomsantony2550 No, so far I didn't stream lectures publically. And also recordings of lectures given in the classroom I only make (when at all) as reference material for my students, since the classroom interaction doesn't map well to video. For the fun of it, I unburied an old lecture on network flow: ruclips.net/video/jgjtFRoh40M/видео.html Note: I actually don't have a recording of the follow-up lecture.