| Course Title: Artificial Intelligence for Data Data Science: What's It All About? |
| Start Date: 09/09/2026 End Date: 12/22/2026 |
| Term: Fall Semester 2026 |
| Description: This introductory course explores the foundations, implementation, and practical use of artificial intelligence (AI) in data science. Students will examine key historical developments and competing perspectives in the evolution of AI, demystify some of the terms currently dominating public discourse, and gain hands-on experience implementing a simple AI system. We will also use AI tools to handle a variety of data science tasks, exploring different use cases, datasets, and real-world scenarios. Throughout, we will consider both the opportunities and limitations of AI. The course includes a gentle introduction to the Python programming language. No prior knowledge is required. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Arie Shaus | ashaus@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 09/09/2026 - 12/22/2026 | Lecture | Tuesday and Thursday | 01:45PM - 03:00PM | TBA | TBA | Weekly |
| Requisite Courses | ||
| None |
| 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: 12 | Enrollment: 2 | Available: 10 | 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. |