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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.

Analytical And Statistical Modeling (DSC-272)

Semester:	Summer 2023
Number:	0207-272-001
Instructor:	Zhimin Huang
Days:	TBA
Note:	Online, Asynchronous
Location:	Online
Credits:	4
Status:	Tutorial
Course Meets:	May 25 - June 30
Notes:	The Instructor’s Permission Is Required To Register For This Course.
Course Materials:	View Text Books
Related Syllabi:	Eunji Lim for Fall 2018* Michael Odonnell for Spring 2024*
	*Attention Students: Please note that the syllabi available for your view on these pages are for example only. The instructors and requirements for each course are subject to change each semester. If you enroll in a particular course, your instructor and course outline may differ from what is presented here.
Description:	This course explores how data can be used to support managerial decision-making. Methods for collecting and categorizing data are presented, as are mathematical and statistical tools, software, and techniques for analyzing data. Analysis and interpretation of data required. (Learning Goals:Q;Distribution Reqs:Mathematics,Computing & Logic)
Learning Goals:	Upon completion of this course, the successful student will be able to• Capture Non deterministic phenomena• Understand the difference between descriptive statistics and inferential statistics• Identify sampling distributions of the sample mean and the sample proportion• Utilize confidence interval techniques to solve real business issues• Set up hypothesis tests for different business situations *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.

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