D. M. Wood
Meyer Hall 454
(303) 273-3853
If you forgot to pick up a problem set or handout,
retrieve it from the list below and print it out.
Let me know if you have difficulties with any PDF file.
Syllabus
Homework assignments
Problem Set 1
Problem Set 2
Problem Set 3;
Band gap vs. electron concentration for CdO [CdO.data]
Problem Set 4; Absorption
data for InSb at 5K [InSb5k.data]; Re part of
dielectric function for PbSi [PbSReEps-373K.data];
(Mass) density dependence of dielectric contant for liquid He
[4He-Dens-Diel]
Problem Set 5; Fit data
from Edwards and Sienko [EdwSienkFitData]
Problem Set 6
Problem Set 7; Fit data for
Al at low T [AlLoTCp]
Problem Set 8
Problem Set 9
Problem Set 10
Problem Set 11
Exams
Hour Test I
This offer not available in stores! --Re-do Hour Test 1 (carefully but
briefly) and get 30% of the points you missed back.
Completed re-do must be in my box by 5:30 PM Lucky Friday April 13th.
Class notes and illustrations
Notes through density functional theory
Optical properties I
Optical properties II
Illustrations of optical properties
Superconductivity I
Superconductivity II
Ferromagnetism, critical phenomena, 2D quantum Hall effectI
A little spintronics
Review of bulk semiconductors, a little on inhomog case
Handouts
Useful math tricks
Class notes and illustrations
Useful Mathematica Notebooks
Note: If you choose to use these Mathematica Notebooks as templates
for a solution you turn in, please observe the following rules:
- Remove my comments and section headings (and replace them with your own)
and be sure to put in a written explanation of what you are doing!
- Make sure that your Notebook runs correctly if saved and re-run
from scratch with Mathematica. (I've seen too many Notebooks consisting
of a random sequence of attempts to simplify expressions, with
non-reproducible results because competing variable definitions were
used at different times.)
- If you turn in a printout, make sure it is printed `2up', i.e., with
two logical Notebook pages per physical sheet. This is easy enough to
read without wasting paper.
These Notebooks will display as text files. Save them as .nb files so you can
run them.
Level surfaces for functions of 3
variables [LevelSurfsFn3vars.nb]
Using the principal value [UsingPrincipalValue.nb]
Doing a non-linear fit to external data [SampNonLinFit.nb]; Sample data[SampNL.data]