### Course Syllabus (PDF file)

### Course Syllabus (Web page)

### Grading Scale (text)

### Initial Notes to Students

COMPETE Pre-Calculus On-line Exam (Due Sept. 7)

Assignment1 (Due Aug. 30)

Assignment2 (Due Sept. 6)

Assignment3 (Due Sept. 6)

Assignment4 (Due Sept. 13)

Assignment5 (Due Sept. 13)

Assignment6 (Due Sept. 20)

Assignment7 (Due by 5PM Sept. 28 in your TA's mailbox in Ayres Hall) I have posted a Matlab .m file that does all the calculations for this project **here ** which should ease doing this project once you have collected the data. I expect that you will look at the Matlab code and understand what it is doing at each step of the calculations.

Assignment8 (Due Oct. 4)

Assignment9 (Due Oct. 4)

Assignment10 (Due Oct. 11)

Assignment11 (Due Oct. 11)

Assignment12 (Due Oct. 25) I have posted a Matlab .m file that does all the calculations for this project **here ** Note that you will still need to change the "q" parameter in the matrix P (this is currently set to .7 in the program) as well as change the "F" parameter (this is set to .1 currently in the program) for each run of the model.

Assignment13 (Due Oct. 25)

Assignment14 (Due Nov. 1)

Assignment15 (Due Nov. 8)

Assignment16 (Due Nov. 8)

Assignment17 (Due Nov. 15)

Project #4 using Matlab (Due Nov. 22) . You may need to use the Matlab program ranleslie2.m if the version of Matlab you have does not recognize the geomean function in ranleslie.m

Assignment18 (Due Nov. 22)

Assignment19 (Due Nov. 29)

Assignment20 (Due Nov. 29)

Example Drug Dosage problem

** Extra Credit Project **

** There is a extra credit project available for those who wish to pursue it, with the description at Extra Credit project on Harvesting a Stochastically-growing Population and the Matlab code to assist you in carrying out this project is at harvestopt.m**. Note that the time period simulated in the Matlab code is 300 time steps. To count for extra credit, this project must be turned in to your TA's mailbox in Ayres Hall by 5PM on Tuesday December 6. If you complete this project, the effect will be to simply add overall points to your grade, based upon how well the project is done, up to 4 points. Thus someone with a course average of 78 (C+ grade) who does the project very well would have 4 points added to bring the grade up to 82 (B grade in the course).

Exam 1 Summary

Exam 2 Summary

Grade summaries by course 3-digit code number for Clara Logan's sections (sections 001 and 002)- Revised 12/2/05

** MATLAB Files **

Quick Intro to Matlab (PDF file)

Longer Matlab Primer (PDF file 213KB)

Online Matlab tutorial from Univ of Utah (Web page)

Listing of Matlab files for this course sequence and codes (Web page)

** Some Lecture notes **

Introduction to Biological Data Analysis and Statistics

Basic Descriptive Statistics

Constructing Histograms and Regressions

Linear Data Analysis and Correlations

Linear regression and correlation calculations

Exponentials, logarithms, rescaling of data and log-log and semilog plots

Additional Powerpoint lecture notes on Exponentials, logarithms, rescaling of data and log-log and semilog plots

Introduction to matrices

Introduction to Eigenectors and Eigenvalues

Introduction the chance and probability models in biology

Drug testing example of Bayes Theorem

Discrete-time models in biology

** References cited in lectures **

List of papers mentioned in lectures as examples of applications of math to life sciences

** Tutorial help **

Math Department Tutorial Center Home page

Registration form for UTK Library Workshops including ones on the Web of Science and Biological Abstracts use

Office of Disability Services with detailed information on services available to students with disabilities

** Web resources related to mathematics and biology **

Society for Mathematical Biology

Modules applying elementary mathematics to various topics in General Biology

Resources for Mathematics Education for Biology Students

UTK Mathematical Life Sciences Page for Education

How does Biology affect Mathematics? (Essay for Mathematics Awareness Month Home Page)

Mathematics and Ecology (Essay for Mathematics Awareness Month Home Page)

Mathematics in Biology (Science On-Line Page)