Graduate versions of IDL include a significant weightage on a course project. In 11-785, you are expected to come up with your own project, or use some of the suggested topics below as a starting point. In 11-685, you are expected to work on a guided project, which is a pre-configured project with a set of organized milestones. TAs will help you with both projects:
A primarily student-driven open research project. You may choose your own topic and work in teams of up to 4.
A mentored and structured project pathway. Ideal for students seeking a more hands-on guidance on executing an end-to-end deep learning project.
We encourage you to propose a project of your own. But if you need assistance, the project ideas below are intended to provide a starting point. Select the project topic(s) that interests you and your team, and let us know by filling out the form with your preferred project(s).
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Use this form to show interest in any project(s) for 11-785 or 11-685. This is just for book-keeping, and not a formal selection process
Explore a curated list of student projects from previous semesters of IDL. They serve as a benchmark of the expected scope, quality, and scientific rigor.
Browse the archived top 25 projects and their submitted reports.
Browse the complete Fall 2020 collection of projects and reports.
Browse all Spring 2024 project submissions and reports.
Browse all Fall 2024 project submissions and reports.
Browse all Spring 2025 project submissions and reports.
Browse all Fall 2025 project submissions and reports.
Browse all Spring 2026 project submissions and reports.