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Course DescriptionA continuation of the study of calculus and other mathematical methods for modeling change. Topics include multivariable calculus, and systems of linear, difference, and differential equations. The last three weeks of the course is devoted to the study of uncertainty, using probability models such as Bayes' rule and random walks. Students will be guided in the discovery and mastery of mathematical techniques in the context of problems in the life sciences. |
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Center for Teaching and Learning (behind circulation desk in Little Library)
Date |
Topic |
Reading |
Homework Problems Due |
Jan 18 |
Functions of Several Variables
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9.1 |
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Jan 20 |
Plots and Applications, continued |
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Jan 23 |
Partial Derivatives
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9.2 |
Section 9.1 (p. 484) (note error in book's answer to #15) Mathematica assignment due by email |
Jan 25 |
Maxima and Minima |
9.3 |
Section 9.2 (p. 495) |
Jan 27 |
Multiple Integration |
9.5 |
Section 9.3 (p. 507) #22, 24, 26, 32 |
Jan 30 |
Multiple Integration, cont. |
9.5 |
Section 9.5 #14, 18, 38, 40, 53, 57 |
Feb 1 |
Systems of Equations |
10.1 | 9.5 #42, 52, 59, 60, 64 |
Feb 3 |
Matrix Algebra |
10.2-10.3 | Section 10.1 #26, 32, 40, 43, 48 plus balance these chemical equations |
Feb 6 |
Recap and prepare for Review I |
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Section 10.3 #20, 22, 31, 36, 38, 48 |
Feb 8 |
Recap and prepare for Review I |
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| Feb 10 | REVIEW I |
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Feb 13 |
Leslie Matrices |
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Feb 15 |
Determinants |
10.5 |
Section 10.3 #46 (ignore the hint!) Section 10.4 #10, 20, 51-55 Worksheet |
Feb 17 |
Eigenvalues and Eigenvectors
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10.5 | Determinants |
Feb 20 |
Eigenvalues and Eigenvectors, cont. Linear algebra movies |
10.5 |
Section 10.5 #2, 8, 10 |
Feb 22 |
Fitting Curves to Data (duck shape) |
1.2 |
Matrix animation worksheet |
Feb 24 |
Least Squares (Linear and exponential curve-fitting) |
1.2 |
Section 10.5 #15, 16, 21, 22 |
Feb 27 |
Small world networks |
p. 601 |
Section 1.2 #7, #9 |
Feb 29 |
Recap and Q&A to prepare for Review II | p. 601 #1-4 and this worksheet | |
Mar 2 |
REVIEW II |
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Mar 5 - Mar 9 |
SPRING BREAK |
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Mar 12 |
Predator-Prey Models
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Predator-Prey dynamics | |
Mar 14 |
Interacting Populations in Excel |
Predator-Prey dynamics | |
Mar 16 |
Equilibria and Stability |
Predator-Prey dynamics | Questions 2-5, p. 140 of "Predator-Prey dynamics" (short answers, sketch graphs by hand as needed to illustrate points) |
Mar 19 |
Competition and Infection |
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Mar 21 |
Systems of Differential Equations |
11.5 | Worksheet |
Mar 23 |
Epidemic Models (SIR) |
Section 11.5 #6, 8, 10 | |
| Mar 26 | Linear systems of Differential Equations |
11.4 | Worksheet |
Mar 28 |
Recap and prepare for Review III | Section 11.4 #10, 14 |
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Mar 30 |
Review III |
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Apr 2 |
Event Trees and Sets |
12.1 |
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Apr 4 |
Basic Probability Rules |
12.2 |
Section 12.1 #38, 42, 50, 57, 58 Section 12.2 #14, 18, 24, 36 |
Apr 6 |
Conditional probability and independent events |
12.3 |
Section 12.2 #38, 40, 67, 69, 70 |
Apr 9 |
HOLIDAY | ||
Apr 11 |
Bayes Rule |
12.3 |
Section 12.3 #2, 4, 8, 12, 22, 24, 38, 58 |
Apr 13 |
Discrete Random Variables |
12.4 |
Section 12.3 #25, 26, 28, 30, 32, 51, 53, 62, 64, 65, 66 |
Apr 16 |
Genetics and the Binomial Distribution |
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Section 12.4 #2, 4, 8, 18 |
Apr 18 |
Binomial Distribution, continued | Worksheet | |
Apr 20 |
Continuous Probability Models Expected Value and Variance |
13.1, 13.2 | Worksheet |
Apr 23 |
Special Probability Density Functions | 13.3 | Section 13.1 #14, 24, 28, 29, 30 Section 13.2 #21, 26, 27 |
Apr 25 |
Special Probability Density Functions, cont. | 13.3 | Section 13.3 #6, 10, 12, 14, 30, 42 |
| Apr 27 | Recap and prepare for Review IV |
Section 13.3 #27, 32, 35, 36, 38 | |
Apr 30 |
REVIEW IV |
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May 2 |
Final exam preparation |
Project topic selection (send full citation by email) | |
May 4 |
Final exam preparation & course evaluations |
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May 7 |
Project presentations |
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May 9 |
Project presentations |
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