CSCI 295: AI in the Scientific Loop

Hope College · Spring 2027

Note

This site is being built for Spring 2027. The schedule and materials will fill in over the coming months.

This site holds the schedule, the materials for each class meeting, and the course policies. Grades and submissions are on Moodle.

Sections

Section Time Instructor Room Final exam period
Monday/Wednesday 8:00–9:20 a.m. Brian Yurk TBA Wed May 5, 3:00–5:00 p.m. (to be confirmed)
Tuesday/Thursday 1:30–2:50 p.m. Catie Welsh TBA Fri May 7, 12:30–2:30 p.m.

Section days and times are planned but not final. Rooms have not been assigned.

Both sections use the same materials and follow the same weekly schedule.

Course description

Generative AI is rapidly changing how scientists find information, analyze data, write, code, communicate, and solve problems. This course prepares students to use these tools effectively and thoughtfully in their academic work and future careers. Students will develop a practical understanding of what generative AI is, how tools such as large language models work, and what they can and cannot reliably do. Students will learn to evaluate AI-generated information, recognize limitations and potential sources of error, and make informed decisions about when and how AI should be used. The course will also examine broader questions surrounding reliability, bias, privacy, ethics, scientific integrity, and the changing role of human expertise in an AI-enabled world. Students will explore applications of generative AI within their own scientific disciplines and complete a project using AI to address a problem or task relevant to their field. No prior programming or AI experience is required.

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