| Course Title: Topics: 'Causal Inference for Data Science' |
| Start Date: 09/03/2025 End Date: 12/16/2025 |
| Term: Fall Semester 2025 |
| Description: You might have heard the phrase "correlation is not causation" - but then, what is causation? For example, how did scientists determine that smoking causes lung cancer? This course will explore how to ask and answer causal questions using data. We will learn the fundamentals of estimating cause-and-effect relationships, drawing from foundations in computer science, statistics, and economics. We will also use modern data science tools coding in Python to run simulations, work with data, and communicate our findings. Students will get hands-on experience thinking through causal study design and analyzing data across real-world applications in healthcare, public policy, education, and more. This course will have a substantial mathematical component, building off probability concepts seen in MATH-232. |
| Distribution(s): II - Math & Sciences , TP - Topics Course |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Tony Liu | tliu@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/03/2025 - 12/16/2025 | Lecture | Monday and Wednesday | 03:15PM - 04:30PM | TBA | TBA | Weekly |
| 09/03/2025 - 12/16/2025 | Fourth Hour of Class | Friday | 03:15PM - 04:05PM | Weekly |
| Requisite Courses | ||
| Prereq: COMSC-205 and MATH-232. | 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: Waitlisted | Capacity: 8 | Enrollment: 17 | Available: 0 | Waitlist: 19 |
BOOK INFORMATION
| Book List | Required | Publisher Full Price |
| To be determined. |
| Additional Book Comments |
| This is NOT the complete book list for this class. |