Weekly Calendar

### Weekly Calendar of Seminars, Talks, and Events

#### Department of Mathematics & Statistics Bowling Green State University

```Department of Mathematics & Statistics Calendar
Week of April  7 - 13, 2008

Monday, April 7, 2008

2:30 PM		Analysis Seminar			459 MSc
Ian DETERS, BGSU
"Spectral Synthesis of Diagonal Operators"

3:30 PM		Calculus Seminar			459 MSc
Professor Neocles LEONTIS, Chemistry Dept., BGSU
"Calculus Issues in Chemistry"
ABSTRACT:  I would like to engage in a broad discussion as to WHAT WE
EXPECT students to remember AND BE ABLE TO APPLY in their dealings
with the "real" world and in their other science courses! AFTER studying
(and hopefully learning) calculus.
I will argue that it is VERY simple: We want them to be able to
determine:
1) when they should integrate (calculate an area) -- and over what range
of the function they are graphing to do the integration and
2) when to calculate a slope = take a derivative to calculate what they need
to solve a problem and
Also we want them to:
3) be able to use a program like MATLAB to set up the problem, make a
graph and then call the appropriate functions to get a numerical answer.
Most people will never have to do an indefinite integral in their lives, but
likely will need to integrate (or differentiate) numerically.
That's it in a nutshell.
To achieve this -- I will argue that the key  to this is to teach
students UNIT Analysis.
I don't see any evidence that students come out of calculus having
any idea what UNIT analysis is and how it can help them to decide between
1 and 2. At best they guess. At worst they don't even attempt to use
calculus to solve problems.
I want to be provocative -- what the heck are you folks doing
over there! The students leave your courses without remembering for any
significant period of time what calculus is for and totally unconvinced they
should remember anything from that trail of tears!
On our end -- we are also at fault -- we steer most students to
physics without calculus (!) -- can you imagine French without grammar?
In chemistry we don't even TRY to use calculus. We pray they can just do
some algebra. So we reinforce the notion that you can do science in a
meaningful way without understanding and using calculus.
We are cheating our students -- and our standards are abysmally
low!
So my question and challenge is: How can we start focusing on
the RESULTS -- i.e. evaluate student learning (or lack thereof) so we can
make changes to make sure students LEARN -- not that faculty cover the
material (whatever that means).
Come to discuss, brainstorm, and argue with me.
NOTE:  Anyone who might teach calculus, especially advanced graduate
students, are invited.

Tuesday, April 8, 2008

10:45 AM		MATH 112 Instructor's Meeting	459 MSc

11:30 AM		Statistics Seminar		459 MSc
Dr. Craig L. ZIRBEL, BGSU
"Cubic Splines via Linear Regression"
ABSTRACT:  Cubic splines are fairly smooth continuous functions that
can be used to exactly interpolate data points, or can be chosen to
approximate data points in much the same way as we use regression
to fit a line to data.  This will be a self-contained talk drawn from
Chapter 5 of the book we have been reading this semester,
"Elements of Statistical Learning" by Tibshirani et al.  You do not need
to have attended previous talks to follow this one.

Wednesday, April 9, 2008

2:30 PM		L-Groups Seminar		459 MSc
Dr. Wolf IBERKLEID

Thursday, April 10, 2008

9:45A-11:15A	Undergraduate Committee Meeting	400 MSc

10:30 AM		MATH 122 Instructor's Meeting	447 MSc

1:30 PM		Foundational Math Committee	400 MSc

Friday, April 11, 2008

12:00 Noon	Calendar Information Due to Cyndi
for next week's calendar

2:30 PM		Advisory Committee		400 MSc

3:30 PM		Refreshments served prior to colloquium	459 MSc

3:45 PM		Colloquium			459 MSc
Dr. Brisa Sanchez, School of Public Health
University of Michigan
"Residual-based Diagnostics for Structural
Equation Models"
ABSTRACT:  Classical diagnostics for structural equation models are
based on aggregate forms of the data and are ill suited for checking
distributional or linearity assumptions. We extend recently developed
goodness of fit tests for correlated data based on subject-specific
residuals to structural equation models with latent variables. The
proposed tests lend themselves to graphical displays and are designed
to detect misspecified distributional or linearity assumptions. To
complement graphical displays, test statistics are defined; the null
distributions of the test statistics are approximated using computationally
efficient simulation techniques. The properties of the proposed tests are
examined via simulation studies. We illustrate the methods using data
from a study of in-utero lead exposure.

Saturday, April 12, 2008

12:00 PM		Kappa Mu Epsilon Banquet/Initiation Ceremony
Campus Corner's Restaurant

Sunday, April 13, 2008
```

A list of mathematics seminars by subject and other seminars at BGSU is available  here.

If you have comments or material for the calendar, send e-mail to Cyndi Patterson,

If you wish to be placed on the e-mail distribution list, send e-mail to Craig Zirbel,

Previous calendars are available individually or in one single file for searching.