Math 111 is a topics class meant to follow a first course in calculus (specifically Math 110). Unlike most second courses in calculus, it stretches beyond the traditional topics of integration and explores topics from statistics, linear algebra and geometry. Our goal is to understand what it means to "optimize." This turns out to be a very complex concept, so our goals for the course are broad. By the end of this course, you should be able to

- find a possible best-fit functions for a given data set and explain the strengths and weaknesses of such an approximation.

- identify relevant information using (partial) derivatives and (double) integrals;
- recognize and solve real-life optimization problems (maxima and minima) in one or more variables;
- model the tragedy of the commons;
- and model predator-prey situations;

Note: Quizzes are available via Angel.

Lecture 11 (Tues. Feb 17)
Lecture 12 (Thurs. Feb 19) Lecture 13 (Tues. Feb 22) Lecture 14 (Thurs. Feb 26) Lecture 15 (Tues. Mar 3) Lecture 16 (Thurs. Mar 5) Lecture 17 (Tues. Mar 17) Lecture 18 (Thurs. Mar 19) Lecture 19 (Tues. Mar 24) Lecture 20 (Thurs. Mar 26) |
Lecture 21 (Tues. Mar 31)
Lecture 22 (Thurs. Apr 2) Lecture 23 (Tues. Apr 7) Lecture 24 (Thurs. Apr 9) Lecture 25 (Tues. Apr 14) Lecture 26 (Thurs. Apr 16) Lecture 27 (Tues. Apr 21) Lecture 28 (Thurs. Apr 23) Lecture 29 (Tues. Apr 28) Lecture 30 (Thurs. Apr 30) |

Powered by

✕