### Course Syllabus (PDF file)

### Course Syllabus (Web page)

### Grading Scale (text)

### Initial Notes to Students

### Web page for Course TA's giving their offices and office hours

COMPETE Pre-Calculus On-line Exam (Due Aug. 30)

Assignment1 (Due Aug. 24)

Assignment2 (Due Aug. 31)

Assignment3 (Due Aug. 31)

Assignment4 (Due Sept. 7)

Assignment5 (Due Sept. 7)

Assignment6 (Due Sept. 14)

Assignment7 (Due Sept. 21)

Assignment8 (Due Sept. 28)

Assignment9 (Due Sept. 28)

Assignment10 (Due Oct. 5)

Assignment11 (Due Oct. 5)

Assignment12 (Due Oct. 19)

Assignment13 (Due Oct. 19)

Assignment14 (Due Oct. 26)

Assignment15 (Due Nov. 2)

Assignment16 (Due Nov. 9)

Assignment17 (Due Nov. 9)

Project #4 using Matlab (Due Nov. 16) . 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. 16)

Assignment19 (Due Nov. 23)

Assignment20 (Due Nov. 30)

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 Friday December 3. After consideration, I decided to simply add overall points to your grade if you do the project, 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

Exam 3 Summary

Final exam, extra credit and course grades posted by individual 3-digit class code given at the start of the semester

** MATLAB Files **

Quick Intro to Matlab (PDF file)

Longer Matlab Primer (PDF file 213KB)

Online Matlab tutorial from Univ of Utah (PDF file 213KB)

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

Main facts about Eigenectors and Eigenvalues and Introduction to Compartment Models

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

** 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)