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NMEP Spring 2026
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NMEP Spring 2026

Welcome everyone! In the New Member Education Program (NMEP), we'll be paving a sturdy ML foundation for you - from classical ML to reinforcement learning. Come hungry to learn and get to know the rest of your class!

Your instructor this semester is Surya Krishnapillai!

Schedule

<tbody>
    <tr> <th style="max-width: 30px;">Week</th> <th>Date</th> <th>Lecture</th> <th>Assignments</th> <th>Lecturer(s)</th> </tr>
    <tr>
        <td style="max-width: 30px;">1</td>
        <td>Feb 9</td>
        <td>Introduction + Math Review
            (<a href="https://docs.google.com/presentation/d/1yi3AZ3YLPT01SFb6F8Z3WgTBsCUL7kzxPe4WOdaQmDk/edit?usp=sharing">slides</a>)
        </td>
        
        <td>
        <span class="label"><strong>Lecture Exercise</strong></span>
        <a href="https://drive.google.com/file/d/1p_QsJX3d3T3mSeePed0_CDieP39g83Pc/view?usp=drive_link">Rockfall</a>
        <br>
        <span class="label label-yellow"><strong>Homework 1</strong> (due Feb 23)</span>
        <a href="/nmep/assets/hw1/hw1-math.pdf">Math</a>
        <a href="https://colab.research.google.com/github/mlberkeley/nmep/blob/main/assets/hw1/hw1-numpy.ipynb">NumPy</a>
        <a href="https://colab.research.google.com/github/mlberkeley/nmep/blob/main/assets/hw1/hw1-intro-pytorch.ipynb">PyTorch</a>
        </td>
        <td>Surya</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">2</td>
        <td>Feb 16</td>
        <td>Classical Machine Learning
            (<a href="https://docs.google.com/presentation/d/1Val7XJBUKo0OgYnJD4j7vmHLYOxqtDo9PkP5sKEy3IQ/edit?usp=sharing">slides</a>)
            (<a href="https://docs.google.com/document/d/1K8C-xmWe5VAJBvodxH9-v8nYomVjt7olawJXjqMZhKY/edit?usp=sharing">notes</a>)
        </td>
        <td></td>
        <td>Surya</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">3</td>
        <td>Feb 23</td>
        <td>Deep Learning
            (<a href="https://docs.google.com/presentation/d/1l6h2Lqfv86eMuB0kUU8Rwxq_mNv7M0A_yWoku_E5bTs/edit?usp=sharing">slides</a>)
            (<a href="https://docs.google.com/document/d/1_vVDNg2L7n_R8kxTm_opW8AQXanQ9_TDr-K2dgAh7cM/edit?usp=sharing">notes</a>)
        </td>
        <td>
            <span class="label label-red"><strong>Reading</strong></span>
            <a href="https://web.stanford.edu/class/ee384m/Handouts/HowtoReadPaper.pdf">How to read a paper</a>
            <br>
            <span class="label label-yellow"><strong>Homework 2</strong> (due March 2)</span>
            <a href="docs/homeworks/hw2.html">Word Embeddings</a>
            <a href="https://colab.research.google.com/drive/1FPTx1RXtBfc4MaTkf7viZZD4U2F9gtKN?usp=sharing">Micrograd</a>
        </td>
        <td>Surya</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">4</td>
        <td>March 2</td>
        <td>Computer Vision
            (<a href="https://docs.google.com/presentation/d/16FRcCaVF72MkKK63YkDuq-HRk-OC5hWlNooTzfbh5gM/edit?usp=sharing">slides</a>)
            (<a href="https://docs.google.com/document/d/1z5Ik8tFjcGqz21di8_C1tGFZUJHq_GPODQHPV76JdkU/edit?usp=sharing">notes</a>)
        </td>
        <td>
            <span class="label"><strong>Lecture Exercise</strong></span>
            <a href="https://colab.research.google.com/drive/103Keq-lZgknscTKp7FEcUQHVZvrJM1dN?usp=sharing"> YOLO </a>
            <br>
            <span class="label label-yellow"><strong>Homework 3</strong> (due March 16)</span>
            <a href="docs/homeworks/hw3.html">Model Zhu</a>
        </td>
        <td>Tim, Andrew</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">5</td>
        <td>March 9</td>
        <td>Natural Language Processing + Transformers</td>
        <td></td>
        <td>Saathvik, Surya</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">6</td>
        <td>March 16</td>
        <td>LLMs + Self-Supervised Learning</td>
        <td></td>
        <td>Tejas, Aakarsh</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">7</td>
        <td>March 17-29</td>
        <td><strong>Midterm</strong></td>
        <td>
            <span class="label label-red"><strong>NMEP Midterm</strong></span>
        </td>
        <td></td>
    </tr>
    <tr>
        <td style="max-width: 30px;">8</td>
        <td>March 30</td>
        <td>3D Computer Vision + World Models</td>
        <td></td>
        <td>TBD</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">9</td>
        <td>Apr 6</td>
        <td>Generative Models</td>
        <td></td>
        <td>Tejas</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">10</td>
        <td>Apr 13</td>
        <td>Reinforcement Learning</td>
        <td></td>
        <td>Surya</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">11</td>
        <td>Apr 20</td>
        <td>AI Safety</td>
        <td><span class="label label-green"><strong>Final Project Checkpoint</strong></span></td>
        <td>Prakrat</td>
    </tr>
    <tr>
        <td style="max-width: 30px;">12</td>
        <td>TBD</td>
        <td><strong>Final project showcase</strong></td>
        <td><span class="label label-green"><strong>Final Project Due</strong></span></td>
        <td></td>
    </tr>
</tbody>