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Hi. 
So many of you have signed up for this 

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course. 
It's heartening. 

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I'm glad you all want to learn web 
intelligence and big data with me. 

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Before I get into describing what this 
course is all about let me give a brief 

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overview of how we will proceed. 
this is really an overview course. 

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We will touch upon a lot of different 
material ranging from big data 

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technologies on the one hand, to machine 
learning and a little bit of AI on the 

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other. 
So, in the time that we have, we might 

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not have the opportunity to go into great 
detail in any of these topics. 

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However, I have arranged for two guest 
lectures in this course. 

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One on large-scale graph databases, one 
on a new way of doing AI using statistics 

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and logic together. 
Both of which we'll delve quite deep into 

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topics which normally most of us might 
not understand in great depth. 

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But that will give you an idea of things 
going to their logical conclusion and 

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depth at a graduate level. 
But for the most part, this course will 

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remain an overview course. 
You should all be able to get an idea of 

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what web intelligence is about, what big 
data technologies are. 

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How they all, all fit together, and an 
overall sense of unity which will help 

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you learn much more from a variety of 
different sources, as you learn each of 

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these topics in more depth in other 
courses. 

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Each week, or each unit will be followed 
by a quiz and a homework assignment and 

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some of these homework assignments will 
require you to do programming or data 

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analysis. 
So, be prepared for that even if you're 

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not very familiar with programming. 
try to get a little familiar with Python, 

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SQL and basic programming techniques in 
order for you to understand basic ideas 

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in this course. 
Couple of more points, please do complete 

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the survey. 
Let's get to know each other, if only in 

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the aggregate. 
I promise to publish the results of the 

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survey as soon as it's done. 
So that we all know where the bulk of 

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people doing this course are from, in 
terms of their background and 

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motivations. 
Last, but not least. 

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The first couple of weeks of this course 
are recorded with a rather slow speech, 

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deliberately, so I'm not really going to 
be speaking as fast as I am right now in 

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the next few weeks. 
It'll go much slower and some of you 

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might find it. 
Tedious, but my experience has been that 

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it's useful. 
All of you get to know my speech much 

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better and then when I speed up later on 
it's less of a problem for everybody. 

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those of you who find it slow can fast 
forward the speech. 

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To 2x, and most people wont have any 
trouble with that too. 

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Finally, this week is a short 
introduction to the material, the 

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motivation, the philosophy behind this 
course, so it barely has less than 30 

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minutes of lecture time. 
Starting next week however, it'll be a 

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full one hour plus of video material and 
homework and a quiz going with it.