Introduction to Artificial Intelligence
Departments of Computer Science and Cognitive Science

Description*
A graduate course in basic statistics. Stresses application to common tasks such as summarizing large databases, making quick estimates, establishing relationships among variables, forecasting, and evaluating alternatives. Topics include probability, common discrete and continuous distributions, sampling, confidence intervals, hypothesis tests, contingency tables, statistical process control, and multiple regression analysis. Extensive use of computers to analyze data sets. Students cannot obtain credit for both this course and DSES-4140.

Prerequisites
Calculus and Algebra.
*This is a four-credit hour course, both class time and tuition are based on four credits.

Textbook(s)
Ordering Information

Format and Grading
Format and Grading information will only be current for courses being offered this semester.

Computing
Specific Computing requirements will only be current for courses being offered this semester.

Technical Requirements
Specific Technical requirements will only be current for courses being offered this semester.

Who Should Enroll
This course may be used in your plan of study as follows:

CSCI - elective
ELEC - elective
ESCI-MM - elective
ESCI-MSE - elective
MEAE - elective
MGMT - elective
SERV - elective
TCOM - elective (with pre-approval of advisor)

This course is also open to non-matriculated students who meet the prerequisites and may be used toward the Computer Science Certificate.

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