Great Free Lectures on Computer Science!

[schoolofgamedev]

Hi everyone, I am here to extend a welcoming invitation to anyone interested to come and view my free lecture series on computer science.

I take a lot of time to make these lectures and hope that it will help many people in various computer science related topics and issues.

Stay tuned to my channel for updates/ more videos/ even improvements in them, etc.
The channel will expand itself into teaching on game development as well, as the time goes on.

View them here:
http://www.youtube.com/user/schoolofgamedev#p/c/AB6C0EA01111D319/0/C8GlqnnQ1Ck

Thanks everyone, hope they are well enjoyed .

[Tony]

So if you just stand in front of a blackboard and talk... tell me, how does this compare to Stanford's lectures?

http://www.youtube.com/watch?v=KkMDCCdjyW8

[Homer_simpson]

not to forger mit
http://www.youtube.com/watch?v=k6U-i4gXkLM
or this indian school
http://www.youtube.com/user/nptelhrd

these lectures are goooooold i tells ya!

[Alexmula]

Homer_simpson @ Sun Aug 08, 2010 11:06 pm wrote:

or this indian school
http://www.youtube.com/user/nptelhrd

those lectures are good until they start talking in hindi

[schoolofgamedev]

Tony @ Sun Aug 08, 2010 8:32 pm wrote:

So if you just stand in front of a blackboard and talk... tell me, how does this compare to Stanford's lectures?

http://www.youtube.com/watch?v=KkMDCCdjyW8

Heya, thanks for taking a peek - My focus is aimed at detailed explanations, the structure of the lectures are different as well, it also assumes no course, rather, for example, my content is organized as so below - ( with each lecture having a problem set review, where I focus much attention on delving into the mathematical aspects of C.S ). This list here is to my introduction series on C.S. Of course Standford's lectures aren't bad, it's simply another educational resource =].

1. Binary Values and Number Systems
2. Data Representation, Data Storage and Data Encoding
3. Machine Architecture and Machine Language
4. Gates and Circuits
5. Components in Computing
6. Operating Systems
7. Networking and the Internet
8. File-Systems and Directories
9. Algorithms and their Design
10. Programming Languages ( Low Level and High Level )
11. Software Engineering, Program Design & Problem Solving.
12. Data Abstractions.
13. Database Systems.
14. Information Systems.
15. Artificial Intelligence.
16. Simulation and Graphics Applications.
17. Theory of Computation.
18. Robotics.

I've gotten some pretty good positive feedback so far, guess it all depends on your taste. Having a large variety of educational resources is never a bad thing, they can be taken for their knowledgeable benefit or not.

[Tony]

schoolofgamedev @ Mon Aug 09, 2010 10:21 pm wrote:

My focus is aimed at detailed explanations...

That is a misleading description. Just about all of the topics you've listed have at least a full undergrad level course worth of material. Operating Systems and A.I. in two lectures? It might be a challenge simply explaining what those are.

Also, you are missing Compilers.

My original comment was alluding to the idea that your lecture setting, audience, and presentation are different from classical University lectures. There are tools that are better suited than a blackboard, to make YouTube videos. There's an opportunity to record over multiple shots, do editing and post-processing.

[schoolofgamedev]

Tony @ Tue Aug 10, 2010 12:56 pm wrote:

schoolofgamedev @ Mon Aug 09, 2010 10:21 pm wrote:

My focus is aimed at detailed explanations...

That is a misleading description. Just about all of the topics you've listed have at least a full undergrad level course worth of material. Operating Systems and A.I. in two lectures? It might be a challenge simply explaining what those are.

Also, you are missing Compilers.

My original comment was alluding to the idea that your lecture setting, audience, and presentation are different from classical University lectures. There are tools that are better suited than a blackboard, to make YouTube videos. There's an opportunity to record over multiple shots, do editing and post-processing.

The topics I listed are part of my introductory series, I plan on having more advanced series afterwards that will go more into depth on different topics. Compilers will be explained in "Programming Languages". I wish I had access to better equipment, and more time to invest in editing for the videos themselves. But unfortunately this is not my full time career. Guess I try to do the best with what I have working as a lone individual with only my girlfriend helping me out at the moment. I actually find the teaching part of it fascinating . I see what you mean though about how I said "detailed" because though it is, it still does not go completely into scope as to what the details can ultimately achieve when applied in different contexts, which is likely what more advanced lectures will focus on. I'm always open to constructive criticism though when it's reasonable and I have the means of applying it where I can .