Monday May 6 1:00-3:00PM:
Exam 1: Chapter 2 Review of Probability and Chapter 3 (3.1-3.3.5)
Exam 2: Chapter 4 (4.1-4.3.3); Markov Chains (A.1-A.4.1, A.4.3)
Exam 3: Chapter 5 Insurance Models and Interest Theory (5.1.1-5.1.4,5.3 1.1)
After Exam 3: Monte Carlo Integration, Bootstrapping, and Predictive Analytics with Random Forests
R Labs, R Homework Problems and any other lecture material presented
For R, Short Answer/True and False. You will not need to write out R commands.
You will have to interpret R output.
You may use:
No homework problems or any problems and solutions
allowed to be written in notes
Notes will be collected with exam (and you can pick them up/returned later)