>> Good morning.

>> I think we'll get started here.

This is Organic Spectroscopy and it's a course I've been teaching

for a bit, and I'm really looking forward to it.

I am not a spectropiscist and that's good.

Because when I started to teach this course my thought was,

"Oh my God, I'm just somebody who uses spectroscopy

and I've been using it for a long time [inaudible]."

I'm not a purist.

I'm not a [inaudible].

I just use it in organic chemistry.

I realize that's [inaudible] what people want

in learning this course.

So what I'm going to do over the next 10 weeks is share my take

on spectroscopy with you and how [inaudible].

We're going to be going over a bunch of different techniques

and we're going to try to break it into certain core techniques

that I think valuable.

I'll tell you a little bit more about that

when I tell you about the syllabus.

Here's the website for the course.

The website has copywriter materials, not my own materials,

I don't care about my own materials but I do care

about respecting other people's copyrights.

And so right now the site is unlaunched,

but it will be launched and you can get the materials

under what's called "fair use copyright law".

Meaning that a professor can give a handout to the class

but just can't sort of broadcast it on the internet.

The handouts a little piece of a book or a paper or [inaudible].

All right, the website will have your assignments.

I've already made a tentative schedule of assignments.

It's probably a good idea to check that just

in case we change anything.

I know for example there will be a few minor changes

to this [inaudible].

I got a bunch of class materials here.

We'll be pulling on these at various times.

For example, our first discussion section will actually

focus on molecular modeling

and there's an exercise here we'll be pulling on there.

There's also some software.

Was anyone able to install the software okay?

Mac people figured out Mac [inaudible].

Mac people figured out how to rename?

>> I think so.

>> All right, so we'll be drawing on that one exercise

in during our first discussion section.

One thing I'm doing -- I always like to try

and do things a little differently in the course.

It keeps things interesting for me.

Also I like to try to get people's feedback on the course

and incorporate it into the next years version of the course.

So like 2 years ago people said it would be really good

to have a practical component of the course.

Meaning how to learn how to run these experiments,

and so we implemented that last year.

Then people said, "Well, it's a lot of work.

Can you cut back?"

So I've made some trimming to that.

So giving feedback as we go along.

It is going to be a course with a lot of homework,

and the assignments will get [inaudible] at the end.

I'm pretty liberal about giving extensions where you need it.

I know last year people said, "Oh it's really heavy.

Can I get an extension?"

It's like okay, can we get these problems done on time

for our daily discussion section

and then you can get an extension on the other stuff.

So let me know if things get really unmanageable

and [inaudible] stuff.

If you're not comfortable coming to me, come to Bryan whose

in the back, who is the teaching assistant for the course

and an A student from last year.

All right.

Let me tell you what I wanted to go to.

[Inaudible] version of the syllabus here.

All right.

So, as I said here, here's the textbook, here's the website.

It'll be password protected

with [inaudible] trivial name and password.

Just something so we're not broadcasting all this

to the whole class.

Textbooks.

The Silver Stein textbook is a really good one.

There are a couple out there.

There's one I absolutely love and have assigned

as a reference, but it's not really readable

and not really friendly and that's the Phil Cruse book,

which is a little more hardcore.

The Silver Stein one I think is more accessible.

There's a supplementary book

and it's really table reference component

of reference boundaries, and it's by [inaudible].

And I hate to make people spend money.

Last year, I think in past years people have found this is really

handy to have.

If you're looking and saying, "Well,

Silverstein's already was 120 bucks or something."

Or if you're saying it's a lot of money,

you want to share the textbook, you can do that by [inaudible].

All right, as I said, I want

to incorporate a molecular modeling component to the class.

The reason I have done this is so much of our thinking

as organic chemists involves stereochemistry

and conformational analysis.

Organic spectroscopy as most of you are going to use it,

is not about what I'll call structure [inaudible].

It's not about you get this wildly random unknown compound

and you have to figure out the structure.

That's part of it.

You get some surprising product from a reaction.

But usually you have some idea what's going in there

and its more specific questions that you're asking.

I got something where I know the basic structure

but something's changed or I don't know the stereochemistry

and I want [inaudible].

Molecular modeling ties integrally to those types

of questions and as we get into topics like coupling constants

and the Nuclear Overhauser Effect and NMR spectroscopy,

those are going to be very relevant.

It's going to be extremely useful to have molecular models.

This is also part of the standard toolbox

of practicing organic chemistry.

To be able to make simple molecular chemists based

molecular models that will tie into 201 and 202

when you get conformational analysis.

So we should be able to come up to speed on that

in a single workshop and exercise,

and we'll do that on Monday.

My license for the software actually allows me

to distribute it to all my students, which is kind of cool

because I paid 800 bucks for this whole license

and then they said, "But you can give it to all your students."

I said, "Well then darn it, I'm going to share it with as many

of my students as possible."

So the one thing you really, really need for this,

and I'm not kidding, because I know you can use

option [inaudible].

But you're going to be using those [inaudible].

You should be able -- if you're a Mac person you probably don't

have one of these or wouldn't have had one of these.

You can get it for like 9 bucks [inaudible] bookstore

or [inaudible].

But you need to buy one [inaudible] our workshop

on there.

The other thing that you need for the class is a real ruler.

Not one of these [inaudible] rulers from elementary school.

[Inaudible].

I recommend one of these clear ones here.

[Inaudible] chem stores or bookstore.

Anyway, it's on the website.

You'll be using that to measure integrals and so forth.

All right, what else do I want to say on here?

So we're going to start with a week talking

about infrared spectroscopy.

We've had this in organic chemistry.

I'm going to give you my perspective on what's important.

We'll get some answers [inaudible].

We're going to then go for about a week on mass spectrometry,

and one of the travesties in the teaching

of mass spectrometry is it still is so focused

on electron ionization mass spectrometry while people are

moving away from that.

We'll have one set of problems, one group of problems

that asks some questions related to that.

We'll have probably one lecture on that.

But there are concepts that I want to bring in on exact masses

and isotopic abundance that aren't hard.

They're not particularly profound, but it will be nice

to have a chance to go over.

So we'll spend about three lectures on that.

We're then going to move on to [inaudible] spectroscopy

and we are going to actually spend a solid amount of time

on [inaudible], and the reason comes back

to the concept of analysis.

You get what the NMR spectroscopy [inaudible],

and you kind of get the basics but there are a lot

of concepts involving coupling and other things

that are really, really important,

and [inaudible] patterns that give you deep, deep information.

And I want us to really master that.

We'll be applying that in [inaudible] analysis.

Then mid-term exam is actually going to focus up to this point.

So we're not going to have [inaudible] the mid-term exam.

That will be [inaudible] of the class,

and we'll concurrently be [inaudible].

And I'll give you a basic suite

of about six [inaudible] experiments

that really constitute core knowledge of the material

that you can easily get lost in the [inaudible].

All right, I wanted our problem sets to be sort

of a capstone to the chapter.

The real learning is going to come from working [inaudible]

in the course, and what we're going to do is we're going

to be together on Mondays and discuss the problems.

As I said, first Monday will be next Monday

and [inaudible] Monday.

We're not going to have a problem set due.

We'll get to the other in 108, and have a workshop

on molecular [inaudible].

The second one will be [inaudible] exercises

and modeling exercises.

[Inaudible].

Anyway, come prepared.

We'll be discussing stuff,

annotate your homework before handing it in.

Let's see, what else do I want to say?

So the exams, I like the idea of open book exams and I

like the idea of [inaudible].

Basically the exam is a problem set

where you're going to [inaudible].

There's one closed book prior to mid-term and I want

to give you time because it takes time to do problem sets,

and so we're going to have them spill

onto Saturdays [inaudible].

[Inaudible] dates of them.

November 5th and then we got the final exam,

the final exam is going to be December 10th.

Grades.

Graduate school isn't about grades.

For the most part everyone is going

to get an A, an A minus, a B plus.

It's not going to have a huge impact [inaudible]

grade [inaudible].

But it's going to have a huge impact for you in terms

of how much [inaudible].

Because what you really want to be shifting from as you come

into graduate school is getting away from this mindset

of being a student where grades actually are for something,

to being an independent [inaudible].

What counts is your ability to solve problems

and analyze problems, and

just about all of you are going to use [inaudible] spectroscopy

as part of your toolbox for solving research problems

and it just [inaudible].

To put it another way, this is a really scary time

to be getting a PhD in science

because pharmaceutical industries

and others [inaudible] and there isn't a lot of room out there

for people who are not as good as they can be.

So when you're thinking about stuff motivating you

of course an A grade is a pat on the back and it says,