1
00:00:00,000 --> 00:00:01,380
- -- in that jacket.

2
00:00:01,380 --> 00:00:03,720
- Okay, so this is just nonsense.

3
00:00:03,720 --> 00:00:06,450
you can't just clean up an
image or look at something --

4
00:00:06,450 --> 00:00:10,660
- This is a tough topic
to teach in class.

5
00:00:10,660 --> 00:00:13,410
It's an important thing
to talk about especially

6
00:00:13,410 --> 00:00:16,234
when we're going to have a problem
set that relates to images.

7
00:00:16,234 --> 00:00:18,900
Much like we talked about earlier
in the context of photography,

8
00:00:18,900 --> 00:00:21,660
but that doesn't really fit.

9
00:00:21,660 --> 00:00:24,090
It fits in as much as you
talk about structures.

10
00:00:24,090 --> 00:00:27,210
- It's another one of those
blue boxes in the textbook.

11
00:00:27,210 --> 00:00:29,910
Where like, hey everyone, here
is a slightly related topic,

12
00:00:29,910 --> 00:00:33,130
but it's not part of
the explicit narrative.

13
00:00:33,130 --> 00:00:36,540
The way we justify it
ultimately is we want

14
00:00:36,540 --> 00:00:40,230
to introduce structs as a stepping stone
to more sophisticated data structures

15
00:00:40,230 --> 00:00:41,250
all together.

16
00:00:41,250 --> 00:00:44,220
And structs are particularly
nice because file in C

17
00:00:44,220 --> 00:00:46,440
is a nice data structure
underneath the hood.

18
00:00:46,440 --> 00:00:48,540
A data type in fact, in this case.

19
00:00:48,540 --> 00:00:51,030
And then we want to be able
for the problem set to play

20
00:00:51,030 --> 00:00:52,680
with the world of forensics and images.

21
00:00:52,680 --> 00:00:54,960
And so it's always a
bit of a stilted thing.

22
00:00:54,960 --> 00:00:56,820
But at least the
approach we've taken here

23
00:00:56,820 --> 00:00:59,070
and with cryptography and with
a couple of other examples

24
00:00:59,070 --> 00:01:00,720
we'll encounter in the
semester, is at least

25
00:01:00,720 --> 00:01:01,950
putting them at the end of the lecture.

26
00:01:01,950 --> 00:01:04,424
Kind of as like, the set up,
for what's ahead for students

27
00:01:04,424 --> 00:01:06,840
to whet their appetite and
give them a sense of excitement

28
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for what's on the horizon.

29
00:01:08,190 --> 00:01:09,570
So hopefully that makes it work.

30
00:01:09,570 --> 00:01:12,736
But I do think this kind of material
could potentially even stand on its own

31
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and not be part of the lecture per se,
but the setup of a certain problem.

32
00:01:16,305 --> 00:01:16,980
But even then --

33
00:01:16,980 --> 00:01:20,230
- But it doesn't have enough weight to
hold up on its own as an independent --

34
00:01:20,230 --> 00:01:22,250
like, you couldn't
have a lecture on this.

35
00:01:22,250 --> 00:01:23,160
There's only so much.

36
00:01:23,160 --> 00:01:25,076
- Not to the extent that
we cover it, I think.

37
00:01:25,076 --> 00:01:28,590
Especially since so much of it is
then introduced in a hands on way

38
00:01:28,590 --> 00:01:30,300
through the problem set itself.

39
00:01:30,300 --> 00:01:32,120
- But I think when we do get to
this point in the course, when

40
00:01:32,120 --> 00:01:34,078
we are talking about
images and representation,

41
00:01:34,078 --> 00:01:37,470
I personally consider this to
be a big pivot point for us.

42
00:01:37,470 --> 00:01:41,480
We've now gone from a world where
all the programs you're writing are,

43
00:01:41,480 --> 00:01:43,230
you know, the game of
15 isn't even a game

44
00:01:43,230 --> 00:01:44,580
but it's still a text based environment.

45
00:01:44,580 --> 00:01:47,788
Now we're actually starting working with
and manipulate images, which is what

46
00:01:47,788 --> 00:01:50,244
we've been hinting at for a long time.

47
00:01:50,244 --> 00:01:51,660
- And I love this abstraction too.

48
00:01:51,660 --> 00:01:55,110
Before this disappears. the zeros
and ones mapping nicely to an image,

49
00:01:55,110 --> 00:01:58,080
albeit a one bit colorful image.

50
00:01:58,080 --> 00:01:58,899
It's pretty cool.

51
00:01:58,899 --> 00:02:01,440
- And it's not too much of a
stretch to then twist this into,

52
00:02:01,440 --> 00:02:02,740
when we show this as red.

53
00:02:02,740 --> 00:02:07,200
And we can reintroduce the concept
of pixels and structures for triples.

54
00:02:07,200 --> 00:02:11,100
Because we need three bytes to
represent a pixel on a bitmap.

55
00:02:11,100 --> 00:02:12,890
One for red, one for
green, one for blue.

56
00:02:12,890 --> 00:02:14,047
- Absolutely.

57
00:02:14,047 --> 00:02:17,130
And this is really also a delivery
mechanism at the end of the day for all

58
00:02:17,130 --> 00:02:21,810
the silly enhanced videos that are
on the internet from TV and Hollywood

59
00:02:21,810 --> 00:02:23,701
films where, if you
look closely enough --

60
00:02:23,701 --> 00:02:26,200
And this is by far the worst
side effect of taking and intro

61
00:02:26,200 --> 00:02:30,090
for a computer science course, it
ruins all of TV and movies for you.

62
00:02:30,090 --> 00:02:34,389
Because any time there is a
hacker or some computer threat,

63
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it's usually something
silly on the screen.

64
00:02:36,180 --> 00:02:38,263
- You've got to freeze
frame it and pick it apart,

65
00:02:38,263 --> 00:02:40,050
and you'll find something goofy.

66
00:02:40,050 --> 00:02:41,880
- The Simpsons does this justice, right?

67
00:02:41,880 --> 00:02:43,410
Any time you pause on
a frame of the Simpsons

68
00:02:43,410 --> 00:02:44,900
there's always some
clever Easter egg there.

69
00:02:44,900 --> 00:02:46,280
There's something on the screen.

70
00:02:46,280 --> 00:02:48,300
But in Hollywood is one
of the examples we show,

71
00:02:48,300 --> 00:02:50,574
it's just like a crayon
drawing application

72
00:02:50,574 --> 00:02:52,990
when it's supposed to be someone
hacking into your system.

73
00:02:52,990 --> 00:02:53,550
- Yeah

74
00:02:53,550 --> 00:02:54,750
- It's just not the same.

75
00:02:54,750 --> 00:02:56,670
Mr. Robot, I will say, comes closer.

76
00:02:56,670 --> 00:02:59,340
But even that, I just can't
get into it in the way

77
00:02:59,340 --> 00:03:02,580
that some people perhaps can.

78
00:03:02,580 --> 00:03:05,190
Then again, I get
really into Chicago Med.

79
00:03:05,190 --> 00:03:08,840
I used to really like ER and
my doctor friends hate that.

80
00:03:08,840 --> 00:03:10,740
- So seriously, if you're looking for --

81
00:03:10,740 --> 00:03:12,073
- What goes around comes around.

82
00:03:12,073 --> 00:03:14,852
- If you're ever looking for
resources of bad computer science,

83
00:03:14,852 --> 00:03:15,810
just turn to Hollywood.

84
00:03:15,810 --> 00:03:17,430
They will be more than
happy to give you some --

85
00:03:17,430 --> 00:03:19,346
- Thank you for saying
Hollywood and not CS50.

86
00:03:19,346 --> 00:03:22,655
- Some great tips.

87
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