|Instructor:||Professor Dan Gezelter
office: 258 Stepan Chemistry
|Teaching Assistant:||Ms. Danyal Floisand
Office hours will be held in 251 Nieuwland Hall
|Lecture:||MWF 11:45 - 12:35
207 Edward J. DeBartolo Hall
One note: There will be no class on Friday, March 1st.
|Optional Problem / Review Session:||Thursdays, 6-7 PM, 207 Edward J. DeBartolo Hall|
|Required Textbook:||Mathematics for Physical Chemistry, by Donald A. McQuarrie|
After each exam you will be provided with a cumulative letter grade to keep you informed of your performance in the course.
|Problem Sets:||Approximately ten problem sets with Friday due
dates will be assigned. Collaboration is encouraged;
however, before collaborating with your classmates, you
should make an honest and significant effort to work
through each problem on your own, and the problems set
solutions must be written-up individually. Do not copy or
paraphrase any one else's work without giving proper
credit. The use of online homework solution services
(e.g. cramster) will be considered a violation of the
Computational Labs: On every other Monday, we will be doing an in-class computational practical exercise. The purpose of these practical exercises is to make you comfortable with numerical concepts that are important to working chemists, and to familiarize yourselves with common tools for working with and visualizing quantitative information. There will also be homework problems related to these computational exercises that will extend your familiarity and comfort with these tools (Mathematica, Avogadro, and QtGrace).
Mathematica is available on PC and Mac clusters on campus, and it can also be obtained free of charge from the Office of Information Technologies website (you will be prompted for your NetID and password):
The other programs we will be using are free (and open source) downloads:
Please download and install all of these packages (Mathematica, QtGrace, Avogadro) to your laptops before the first Computational Lab (Monday January 21st).
A note about Extra Credit: Problem sets may contain one or more "extra credit" problems which are somewhat more difficult than the others. Extra credit points are explicitly off the curve to encourage collaborative problem solving on these problems. By doing these harder, optional problems, you can earn enough extra credit during the semester to increase your score by a full letter grade.
Problem Set Late Policy: Problem sets are due by 5:00 PM on Friday. A problem set that is turned in before the following Wednesday at 5:00 PM will receive half-credit. Problem sets will not be accepted after 5:00 PM on the Wednesday following its original due date. In addition, each student will receive one "no questions asked" extension during the semester, whereby you may turn a problem set in by Monday at 5:00 PM for full-credit. Computational assignments will not be accepted late without prior permission.
I'll be posting the problem sets on the problem set web page each week.