Description: Non-theoretical study of the basic concepts of regression analysis and econometrics which emphasizes real-world applications, statistical computing, and learning-by-doing.
Credit Hours: 3
Prerequisites: A grade of C or better in: ECO 101 and 102, or 105; and ECO 138, or MQM 100, or MAT 252 or MAT 351
Graduation Requirement: SMT - Bachelor of Science Graduation Requirement in Science, Math, and Technology
Dates: 08/21/2023 - 12/09/2023
Location: Adlai E. Stevenson Hall 434 (STV 434)
Instructor: Oguzhan Dincer
Course Specification: Majors Only
Textbooks have not been finalized for section.