| Course Title: Introduction to Computational Problem Solving |
| Start Date: 01/27/2026 End Date: 05/12/2026 |
| Term: Spring Semester 2026 |
| Description: Introduces students to algorithms, basic data structures, and programming techniques. Students learn computing principles by exploring problems drawn from a broad set of domains, such as cryptography, data analysis and games. |
| Distribution(s): II - Math & Sciences |
| Academic Level Of Course: Undergraduate | Credits:4.00 |
| Faculty | Phone | Email address |
| Diane Uwacu | duwacu@mtholyoke.edu |
| Meeting Dates | Method | Meeting days | Meeting times | Building name | Room | Frequency |
| 01/27/2026 - 05/12/2026 | Lecture | Tuesday and Thursday | 09:00AM - 10:15AM | KNDD - Kendade | 307 | Weekly |
| Requisite Courses | ||
| Coreq: COMSC-151L. | Take concurrently | Required |
| Comments |
| Additional Comments |
| This course is programming-intensive and includes the topic of object-oriented programming. Students may wish to consider COMSC-150 as an alternative entry point that does not cover the topic of object-oriented programming. |
| Course Tags | ||
| DATA0001 | DATA-SCI: Data Science Core Course | This is a required core course of the Data Science major. |
| Cross-listed Sections |
| None |
| Course Availability | ||||
| Section status: Open | Capacity: 28 | Enrollment: 23 | Available: 5 | 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. |