| Course Title: Intermediate Topics in Statistics: 'Computational Statistics' |
| Start Date: 01/28/2025 End Date: 05/13/2025 |
| Term: Spring Semester 2025 |
| Description: Computation is now an essential component of several modern statistical methods. This course will introduce students to computationally intensive techniques in statistics and explore the role of computation as a tool for discovery. Specifically, it will emphasize simulation-based, rather than calculus-based, approaches in statistical theory. Topics may include sampling algorithms, numerical analysis, and missing data. All data analysis in the course will be performed using R software. Research applications will be emphasized through assignments and student-defined projects. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Laura Lyman | 413-538-2720 | lalyman@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/28/2025 - 05/13/2025 | Lecture | Monday and Wednesday | 01:45PM - 03:00PM | CLAP - Clapp Laboratory | 402 | Weekly |
| Requisite Courses | ||
| Prereq: STAT-140. | Take previously | Required |
| Comments |
| Additional Comments |
| Course Tags | ||
| DATA0003 | DATA-SE: Data Science Elective Course | This course is an elective option for the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 24 | Enrollment: 23 | Available: 1 | 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. |