Probability
MA 320 Syllabus

1  Instructor

Robert Molzon
Office: POT 933
E-Mail: molzon@ms.uky.edu
Phone: 859 257-1480
Office Hours: MWF 11:15-12:15

2  Text

The text for the course is Introduction to Probability by Charles Grinstead and J. Laurie Snell. The book is available for free online at Introduction to Probability http://www.math.dartmouth.edu/~prob/prob/prob.pdf.

3  Grading

Your grade for the course will be based on two exams during the semester, a final exam, and homework. Each of the four components will count toward 25% of your grade. I will post sample problems for the midterms and final exams. The homework will be done online.

4  Homework

The homework problems are online at WebWork http://webwork2.ms.uky.edu/webwork2/. Select the appropriate MA320 course and login with your student AD user name and your student ID number. For example, if your AD user ID is JSMITH2 and your student ID is 10771277 , then this is exactly what you should use to login. You must enter the user name in upper case exactly as shown in this example.

5  Course Goals

The course is an introduction to probability. We shall cover the basic ideas of probability that are covered in Chapter 1 through Chapter 9 in the text. A student who earns a grade of A in the course should be able to pass the first Society of Actuaries examination. I have provided links to sample SOA exams, and these exams will give you a very good idea of the type of probability problem you should be able to work if you have a good understanding of the material.

6  Experiments and Software

A great deal of insight and understanding can be gained in probability by doing experiments. The experiment can be as simple as flipping a coin a number of times and keeping track of the outcomes. Generally, it will be much easier to perform such experiments by using computer software that does the coin flipping for you and records outcomes in as much detail as you like.
One particularly useful software package for probability experiments is R, and it is freely available for download on the CRAN website CRAN http://cran.r-project.org/. There are many introductory documents on using R. Here are a few. Here is how one would flip a coin 100 times in R and count the number of Heads that you obtain.
coin <- c("H", "T")
flip <- sample(coin, 100, replace=TRUE)
length(which(flip == "H"))
Of course there are many other software packages that can be used to do experiments in probability. I suggest you find one you like and become proficient doing simple "coin flip" like simulations.

7  Tentative Course Schedule

8  Additional Course Policies

9  Additional Links

10  Sample Exams




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On 11 Jan 2011, 12:36.