GEOS/ANTH 4863: Quantitative Techniques in Geosciences
Spring 2008
General Information
Instructor Jackson Cothren
Office OZ8, JBHT320
Phone (479) 575-6790
E-mail jcothren@cast.uark.edu
TA Kwasi Asante
Office JBHT Graduate Assistant Bullpen
E-mail kasante@uark.edu
Classroom JBHT228
Textbook Unwin
and O’Sullivan, Geographic Information Analysis (2003)
Readings As
assigned
Resources www.mathworks.com
Software Matlab, Geoda
|
Lecture/Lab
(JBHT 228) |
Tuesday Thursday |
9:30 – 10:50 am |
|
Office
Hours (Instructor) |
Wednesday (JBHT320) |
8:00 am – 12:00 pm |
|
Office
Hours (TA) |
Wednesday (JBHT GA Bullpen) |
TBD |
|
Friday (JBHT GA Bullpen) |
TBD |
Course
Summary and Objectives This course is an introduction to various
numerical methods used by geoscientists.
A strong emphasis will be placed on practical exercises in which the
student solves problems using Matlab.
Details
Grading Your
grade for this course will be based upon in- and out-of-class lab exercises,
three mid-term exams, and a comprehensive final exam weighted as follows:
Lab exercises (25%)
Mid-term I (20%)
Mid-term II (20%)
Final Project (35%)
Letter grades will be assigned based on the percentage of points earned
as follows:
90% <= Total => A
80% <= Total < 90% => B
70% <= Total < 80% =>
C
60% <= Total < 70% =>
D
Total < 60% => F
Lab
Exercises Seven (7) graded homework exercises will be assigned over the course of
the semester at approximately two week intervals. All exercises will require the student to
develop, document and explain a programmatic solution to a specific
problem. Collaboration is allowed and encouraged.
Midterms
Take-home problem sets requiring some programming. Format will be similar to lab exercise but
must be accomplished without assistance from classmates.
Inclement
Weather Policy Class will meet unless the University is closed. If for some reason I am unable to lecture, I
will notify everyone by email the evening before class meets with instructions
on make-up activities. Much of our work
will require us to be outside regardless of weather conditions – come to class
prepared to be outside.
Calendar
|
WK |
DATE |
TOPIC |
READINGS and LECTURE
NOTES |
LABS and DOWNLOADS |
|
1 |
Jan 15, 2008 |
|
|
|
|
Jan 17, 2008 |
Comparing Two Different Data Sets |
|
|
|
|
2 |
Jan 22, 2008 |
Python and DOS Batch programming |
Guest Lecturer |
|
|
Jan 24, 2008 |
Python and DOS Batch programming |
Guest Lecturer |
Homework 1 Due |
|
|
3 |
Jan 29, 2008 |
Comparing Two Different Data Sets Revisited |
|
Classroom work on Homework 1 |
|
Jan 31, 2008 |
Working with Field Data |
Unwin and O’Sullivan, Chapter 8 |
Walker Lake dataset (full
or sample) |
|
|
4 |
Feb 5, 2008 |
Working with Field Data |
Unwin and O’Sullivan, Chapter 8 |
|
|
Feb 7, 2008 |
Working with Field Data |
|
|
|
|
5 |
Feb 12, 2008 |
Working with Field Data |
Unwin and O’Sullivan, Chapter 9 |
Functions need for class lecture: |
|
Feb 14, 2008 |
Working with Field Data |
|
|
|
|
6 |
Feb 19, 2008 |
Distance Matrices |
Lecture
Notes (sent by email) |
Homework 2
Due |
|
Feb 21, 2008 |
Variogram Calculations |
|
|
|
|
7 |
Feb 25, 2008 |
Variogram Calculations |
|
|
|
Feb 27, 2008 |
Error Propagation and Least Squares |
|
Midterm 1 |
|
|
8 |
Mar 4, 2008 |
Error Propagation and Least Squares |
|
|
|
Mar 6, 2008 |
Error Propagation and Least Squares |
|
|
|
|
9 |
Mar 11, 2008 |
Midterm work |
|
|
|
Mar 13, 2008 |