STA 320 Probability
This is a course on basics of probability. In this course you will learn the nomenclature, theory and techniques needed for understanding the major types of probability problems, how to apply them in mathematical modeling, and how to prove problems in probability. We will cover materials including (not limited to) sample space, random variables, distribution functions, conditional probability and independence, expectation, combinatorial analysis, generating functions, convergence of random variables, characteristic functions, laws of large numbers, central limit theorem and its applications. This is an undergraduate course so if you think it is an easy course please talk to me.
Fall Semester 2013
Rick Durrett Elementary Probability for Applications
Ruriko Yoshida, Associate Professor of Statistics
- Office: 325D Multidisplinary Science Building (MDS) Building
- Phone: (859) 257-5698
- E-mail: email@example.com
- Office Hours: MW 2:00 pm - 2:50 pm
Time and Place for STA320, Fall Semester 2013
- TR 2:00 pm - 3:15 pm, CB214
Syllabus For STA 320
- Midterm 1 Thurs October 3rd 2013
- Midterm 2 Thurs November 21st 2013
- Final 8AM WED December 18th 2013
There will be two in-class exams, graded homeworks, and a final exam: these will count 40%, 30%, and 30% of your grade, respectively.
Students with excused absences will be given a make-up exam. No homework will be made up for credit, but it's important to make it up for your own benefit. The lowest scored HW will be discarded. Late homework will not be accepted. No make up final.