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[NO SPEECH]

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SEAN ROBINSON: Other
challenges include learning

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how to do data analysis.

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You perform an
experiment in such a way

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that it hopefully gives you
data that is worth analyzing.

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And data analysis
begins with that.

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Did you even perform the
experiment in a good way?

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But then there's just
technicalities of I

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have a table of numbers
that my apparatus gave me,

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how do I analyze that?

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I have to get it into
a piece of software.

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I have to tell that
software, make me a plot.

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Compute an average.

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Just basic mechanical things.

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We don't care what
programming language they use.

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Whatever they use, we
promise to help them out

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with the basics of it.

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But really, some
of the basic tasks

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they're doing in whatever
programming language

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it is, they're usually not
very sophisticated tasks

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on the scale of
computer programming.

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They're usually
very simple things.

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But if you don't
know how to do it,

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they're very daunting tasks.

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We want students in this class
to struggle with the material.

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To really work at the things
that are useful to learning.

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We don't want them to struggle
with things that are just,

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my computer won't
compile my paper.

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We don't want to
struggle with things that

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are not useful to learning.

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So again, we have a long
series of small tasks

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that gets people up to speed
with some instructor help.

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Gets them up to speed quickly
on these multiple small tasks.

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So that they are
spending their time

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learning in an efficient
way, and not just spinning

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their wheels.

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And just getting frustrated and
learning to hate the subject,

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instead of love the
subject like we do.