| Course Title: Seminar in Statistics and Scientific Research: 'Time Series Analysis' |
| Start Date: 01/23/2024 End Date: 05/07/2024 |
| Term: Spring Semester 2024 |
| Description: Time series -- data collected across time -- show up in a vast range of application areas, from climate to economics to music. But they can have special behaviors, like seasonality, memory, and directionality, that require some special treatment! We'll look at tools for describing, modeling, and predicting time series behavior. Topics include decomposition, ARIMA, exponential smoothing, dynamic regression, and a foray into the frequency domain. We'll apply these concepts using real datasets in R. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Laurie Tupper | ltupper@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/23/2024 - 05/07/2024 | Lecture | Monday, Wednesday and Friday | 03:15PM - 04:30PM | KNDD - Kendade | 203 | Weekly |
| Requisite Courses | ||
| Prereq: STAT-242 and MATH-211. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| NXDTA0001 | NXDTA: Nexus in Data Analytics and Society | This course is approved for the Data Analytics |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 18 | Enrollment: 9 | Available: 9 | Waitlist: 0 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |