Directories and Search

Course Search

Courses may be offered in one of the following modalities:

Traditional in-person courses (0–29 percent of coursework is delivered online, the majority being offered in person.)
Hybrid/blended courses (30–79 percent of coursework is delivered online.)
Online courses (100 percent of coursework is delivered online, either synchronously on a designated day and time or asynchronously as a deadline-driven course.)
Hyflex (Students will be assigned to attend in-person or live streamed sessions as a reduced-size cohort on a rotating basis; live sessions are also recorded, offering students the option to participate synchronously or view asynchronously as needed.)

If you are enrolled in courses delivered in traditional or hybrid modalities, you will be expected to attend face-to-face instruction as scheduled.

Introduction To Probability Theory (MTH-361)

Semester:	Fall 2020
Number:	0144-361-001
Instructor:	Robert Bradley
Days:	Tuesday Thursday 12:15 pm - 1:30 pm
Note:	Hybrid Online/In-Person Class
Location:	Garden City - ONL VRTL
Credits:	3
Notes:	Grade Of C- Or Better In Mth 243 Or Mth 250 Required. In-Person Classes On September 15, 29; October 13, 27; November 10, 24. Synchronous Classes On September 1, 3, 8, 17, 22; October 1, 6, 15, 20, 29; November 12, 17; December 1, 8, 10.
Course Materials:	View Text Books
Description:	Learn how to count using permutations, combinations, and the like. Discover the characteristics of probability distributions, both finite and infinite, the binomial, geometric, and normal in particular. Find the distribution of a random variable, calculate its mean and standard deviation, and learn how to simplify complex random variables.
Learning Goals:	„P Students will apply the axiomatic approach to probability, counting and combinatorial methods, and Bayes¡¦ Theorem.„P Students will investigate random variables and their properties, including marginal and conditional distributions, expectation, conditional expectation, covariance and correlation, moment generating functions, and distributions of functions of one or more random variables. „P Students will recognize and classify the properties of important probability distributions.„P Students will gain the ability to prove results in probability. „P Students will use statistical software to simulate random phenomena and to carry out probability computations for standard distributions using the TI-83Plus and SPSS 20.0 in Lab. *The learning goals displayed here are those for one section of this course as offered in a recent semester, and are provided for the purpose of information only. The exact learning goals for each course section in a specific semester will be stated on the syllabus distributed at the start of the semester, and may differ in wording and emphasis from those shown here.
Prerequisites:	MTH 243 or MTH 250

» View Other Sections of this Course

« Back to Search Results

Apply Now
Request Information