| Course Title: Intermediate Topics in Statistics: 'Infectious Disease Modeling' |
| Start Date: 01/23/2024 End Date: 05/07/2024 |
| Term: Spring Semester 2024 |
| Description: Infectious disease has plagued humanity since time immemorial. Statistical models serve a critical role in improving understanding of the progression and proliferation of infection in a population, as well as the impact of interventions in stopping the spread of disease. In this course, we will explore regression and compartmental model-based approaches, which will be motivated by some of the most impactful epidemics and pandemics in recent history, including HIV/AIDS, Ebola, Zika, and COVID-19. R statistical software will be used. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Marie Ozanne | mozanne@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/23/2024 - 05/07/2024 | Lecture | Tuesday and Thursday | 10:30AM - 11:45AM | CLAP - Clapp Laboratory | 401 | 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: Closed | Capacity: 18 | Enrollment: 18 | Available: 0 | 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. |