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| 1 | +--- |
| 2 | +layout: default |
| 3 | +title: Hybrid Learning and Applications (MA-INF 4240) |
| 4 | +description: Winter Semester 2027 |
| 5 | +--- |
| 6 | + |
| 7 | +# Lab: Hybrid Learning and Applications |
| 8 | + |
| 9 | +This lab offers a comprehensive introduction to using hybrid learning, merging machine learning and deep learning techniques to address complex problems. By integrating foundation models with downstream tasks using various machine learning methods, students explore a range of fascinating applications. They are encouraged to select and research their own project topics, gaining hands-on experience in data preprocessing, model building, evaluation, and optimization. This course is designed to equip students with practical skills to design and implement effective hybrid learning solutions. |
| 10 | + |
| 11 | +## Lab Activities |
| 12 | +- **Choose-your-own-research:** Students will choose their own research topic and develop it on their own. |
| 13 | +- **Midterm Milestone:** A mid-term presentation to share progress, challenges, and insights. |
| 14 | +- **Showcasing Innovations:** Each student presents their original contributions in a final presentation (graded). |
| 15 | +- **Report:** The lab concludes with writing a lab report (graded). |
| 16 | +- **Publication opportunity:** If the lab report is of extraordinary quality, we will try to get it published with the student as the first author. |
| 17 | + |
| 18 | +## Prerequisites |
| 19 | +Required: |
| 20 | +- Independent work required |
| 21 | + |
| 22 | +Recommended: |
| 23 | +- A basic understanding of machine learning is helpful |
| 24 | +- Students should bring their own ideas. |
| 25 | + |
| 26 | +## Remarks |
| 27 | +To be considered for the lab, we ask you to submit a short proposal (maximum a page) describing the project you would like to work on to `amllab[at]bit.uni-bonn.de`. Please make sure your proposal addresses the following points: |
| 28 | + |
| 29 | +- What is your idea? |
| 30 | +- How is it connected to hybrid learning? |
| 31 | +- Will you need data, and if so, where will you obtain it? |
| 32 | +- How much compute will you need, and where will you obtain it? |
| 33 | +- Is the project realistic to complete within the semester? |
| 34 | + |
| 35 | +## Lecturers |
| 36 | + |
| 37 | +- [Corinna Schmalohr](/team/corinnaschmalohr/) |
| 38 | +- [Tobi Deußer](/team/tobiasdeusser/) |
| 39 | + |
| 40 | +## Course Schedule |
| 41 | + |
| 42 | +| Date | Time | Title | Location | |
| 43 | +|------------------|---------------|-------------------------|-----------| |
| 44 | +| Fri, 23 Oct 2026 | 14:00–16:00 | HLA Lab Info | Remote | |
| 45 | +| Fri, 30 Oct 2026 | 14:00–16:00 | HLA Lab Pitch | Remote | |
| 46 | +| Fri, 11 Dec 2026 | 14:00–16:00 | HLA Midterm | Remote | |
| 47 | +| Fri, 29 Jan 2027 | 14:00–16:00 | HLA Final Presentation | In person | |
| 48 | +| Sun, 28 Feb 2027 | 23:59 (AOE) | Final Report --- submit to `amllab[at]bit.uni-bonn.de` | | |
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