> For the complete documentation index, see [llms.txt](https://lwm.mit.edu/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://lwm.mit.edu/course-materials.md).

# Course Materials

Learning with Machines offers programming for a diverse range of interests, backgrounds, and skill levels. Find presentation slides, handouts, quick-reference materials, and worked examples here.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-cover data-type="image">Cover image</th></tr></thead><tbody><tr><td><h4>AI Panorama</h4></td><td>A framework for understanding what AI can (and can't!) do for science research.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FHyUA2jbAB0vkDQ3gmQqe%2Fpanorama_wordmarkArtboard%207%403x.png?alt=media&amp;token=4dfc5804-1ba4-42ef-8030-29ec271d3631">panorama_wordmarkArtboard 7@3x.png</a></td></tr><tr><td><h4>Computation Questions</h4></td><td>Hands-on, expert-led seminars exploring computational techniques in depth.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FzOMRxwNO6X1wagX5EUGp%2Fcq_wordmarkArtboard%208%403x.png?alt=media&amp;token=9153e11d-0bc2-409e-8a21-c180c0d725ec">cq_wordmarkArtboard 8@3x.png</a></td></tr><tr><td><h4>Learning Laboratory</h4></td><td>Skill-building workshops to practice implementing computation from start to finish on real data.</td><td><a href="https://2078575508-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FpK8DMWsoyo5vzRk1L6UL%2Fuploads%2FSYbZnxE46yF6KPnMPJzX%2Fll_wordmark.png?alt=media&amp;token=2b90f371-be19-4967-8c54-c63a86d94f73">ll_wordmark.png</a></td></tr></tbody></table>

### Programming

***AI Panorama***: a recurring, overview presentation broadly surveying the capabilities of AI, introducing an accessible framework for understanding its direct applicability to research

{% hint style="info" %}

## Session Dates (Luria Auditorium, 76-156 from 12-2PM)

* Friday, September 25, 2026
* Friday, October 23, 2026
* Friday, November 6, 2026
* Friday, December 4, 2026
  {% endhint %}

{% content-ref url="/pages/56ICoidRdLxwX9SnCIe3" %}
[AI Panorama](/course-materials/ai-panorama.md)
{% endcontent-ref %}

***

***Computation Questions***: a topic-focused seminar series to explore technical foundations in greater depth with expert-led, hands-on demonstrations

{% hint style="info" %}

## Module Details

*FastQ to Phenotype - Navigating Sequencing Data with AI Workflows*\
→ Friday, October 2, 2026 \
\
*Screen to Signal - Unlocking Functional Targets with AI and Machine Learning*\
→ Friday, October 9, 2026\
\
*Pixels to Pathway - Characterizing Tumor Behavior with AI-Driven Imaging*\
→ Friday, October 26, 2026\
\
*Prompts to Protocols - Using AI to Synthesize Knowledge for Experimental Design* \
→ Friday, November 13, 2026\
\
*Interactome to Insight - Modeling Biological Networks with Machine Learning*\
→ Friday, November 20, 2026\
\
*Modalities to Models - Integrating Biological Data Streams with Machine Learning*\
→ Friday, December 11, 2026
{% endhint %}

{% content-ref url="/pages/HEsX9kAS7yd6TETfNwFc" %}
[Computation Questions](/course-materials/computation-questions.md)
{% endcontent-ref %}

***

***Learning Laboratory***: skill-building workshops to practice implementing computation from start to finish on real data (examples provided, or bring your own!)

{% hint style="info" %}

## Workshop Topics

*Informatics Inquiry - Quantitative Thinking in Research Design*\
→ Monday, October 5, 2026 \
\
*Intelligence Archives - Leveraging LLMs for Science Research*\
→ Monday, October 19, 2026\
\
*Nucleotide Navigation - The Computation Behind Whole Genome Sequencing*\
→ Monday, October 26, 2026 \
\
*Cancer Cartography - Mapping the Spatial Cellular Landscape with Computation*\
→ Monday, November 9, 2026\
\
*Preserving the Pipeline - Cultivating Readable and Reproducible Biological Software*\
→ Monday, November 16, 2026\
\
*Echoes in the Archive - Maximizing the Power of Scientific Data Repositories*\
→ Monday, November 23, 2026&#x20;
{% endhint %}

{% content-ref url="/pages/byfynb7YUDiW6ke16oj7" %}
[Learning Laboratory](/course-materials/learning-laboratory.md)
{% endcontent-ref %}

<p align="center"><a href="/course-materials/course-schedule.md" class="button primary" data-icon="calendars">View Full Schedule</a></p>