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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.

Semester:	Fall 2024
Number:	0203-305-001
Instructor:	Soon Ryoo
Days:	Tuesday Thursday 12:15 pm - 1:30 pm
Note:	Traditional In-Person Class
Location:	Garden City - Hagedorn Hall of Enterprise 111
Credits:	3
Course Materials:	View Text Books
Description:	Learn the methods of data collection, analysis, and presentation commonly employed by economic and financial analysts. Study probability and sampling theory, regression, correlation, and computer applications.
Learning Goals:	Students who successfully complete this course should be able to: (i) Understand the main concepts and tools of modern econometrics(ii) Apply these concepts and tools to understand and interpret economic data. *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:	ECA 111 ECA 112 MTH 113