diff --git a/docs/fa24.md b/docs/fa24.md
index 3a80686..14e309f 100644
--- a/docs/fa24.md
+++ b/docs/fa24.md
@@ -1,15 +1,15 @@
 ---
-title: NMEP fa24
-nav_order: 4
+title: NMEP Fall 2024
+nav_order: 1
 layout: home
 ---
 
-## NMEP Spring 2025
+## NMEP Fall 2024
 
 Welcome everyone!
 In the New Member Education Program (NMEP), we'll be paving a sturdy ML foundation for you—from classical ML to diffusion models. Come hungry to learn and get to know the rest of your class!
 
-Your instructors this semester are Tejas Prabhune and Tim Xie!
+Your instructor this semester is Sara Eginova!
 
 
 ### Schedule
@@ -34,14 +34,14 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
             <a href="/fa24-nmep/assets/hw0/hw0-math.pdf">Math Review</a>
             <a href="/fa24-nmep/assets/hw0/hw0-pandas.ipynb">Pandas</a>
             <a href="/fa24-nmep/assets/hw0/hw0-numpy.ipynb">Numpy</a></td>
-            <td></td>
+            <td>Tim, Tejas</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">2</td>
             <td>Sep 30</td>
             <td>Classical ML (<a href="https://docs.google.com/presentation/d/13NwgyAVt6c79NgEvChtRHKd2ntMheDY2qmMQlMmAAS4/edit?usp=drive_link">slides</a>)</td>
             <td></td>
-            <td></td>
+            <td>Tejas</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">3</td>
@@ -52,7 +52,7 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
             <a href="https://drive.google.com/file/d/1Up6oxVNy7W_htigekfo2uYSslChIcEof/view?usp=drive_link">Intro to Pytorch</a>
             <a href="https://drive.google.com/drive/folders/1KQLOSiGAPHW-6ORCwtECIkyfUqdNklSu?usp=drive_link">Word Embeddings</a>
             </td>
-            <td></td>
+            <td>Tim</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">4</td>
@@ -61,7 +61,7 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
             <td><span class="label label-yellow"><strong>Homework 2</strong></span>
             <a href="https://github.com/mlberkeley/fa24-nmep-hw2/">Model Zhu</a>
             </td>
-            <td></td>
+            <td>Tejas</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">5</td>
@@ -78,35 +78,35 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
             <a href="https://github.com/tejasprabhune/hw3-transformers">Transformers</a>
             <a href="/fa24-nmep/assets/hw3/hw3-worksheet.pdf">Worksheet</a>
             </td>
-            <td></td>
+            <td>Sara</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">7</td>
             <td>Nov 4</td>
             <td>Transformers 2 (<a href="https://docs.google.com/presentation/d/1-qNWqIUD-ld3ijqEhUexp6Usg_ze39hQXXrmdwLc-nI/edit#slide=id.g2fa7bb19c0a_0_0">slides</a>)</td>
             <td></td>
-            <td></td>
+            <td>Derek</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">8</td>
             <td>Nov 11</td>
             <td>Self-supervised Learning (<a href="https://docs.google.com/presentation/d/1sOigbq6bcI3TIiQD3necn3LrmqJKEJOIoDJnxSN7sfE/edit?usp=drive_link">slides</a>)</td>
             <td><span class="label label-green"><strong>Final Project Proposal</strong></span></td>
-            <td></td>
+            <td>Tejas</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">9</td>
             <td>Nov 18</td>
             <td>RL (<a href="https://docs.google.com/presentation/d/1ewH5WvMKY0v0n8izLtlwmAskf5zdIcOftNFbO6uP474/edit?usp=sharing">slides</a>)</td>
             <td></td>
-            <td></td>
+            <td>Saathvik</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">10</td>
             <td>Nov 25</td>
             <td>Ethics, Object Detection (<a href="https://docs.google.com/presentation/d/1FQ-RNjrANvdVjQIY4LFaHAlm9-hNVxRftKNYj56n2K4/edit?usp=sharing">slides</a>)</td>
             <td><span class="label label-green"><strong>Final Project Checkpoint</strong></span><br><span class="label"><strong>Extra Exercise</strong></span> <a href="https://colab.research.google.com/drive/1nDIw-Kj3_6bvhXpBW_W_jMuoNvJeBVo9?usp=drive_link">YOLO</a></td>
-            <td></td>
+            <td>Tim</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">11</td>
@@ -116,7 +116,7 @@ Your instructors this semester are Tejas Prabhune and Tim Xie!
                 <a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2OIBta2aWKLomTShrIrXbohnK0j6ERU7zkiJmBsAQrUkBFn2t7we6KJzza3gPvFbhLFP-s44ry">Signups 1</a>
                 <a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2Z09UrGFK02sdKhja3VvnVJCc5hSF_9URqSvP038A9YXuKCpjWyzRioGCd683x6U4bngWZARtS">Signups 2</a> (if the other one is full)
                 <br><span class="label"><strong>Lecture Exercise</strong></span> <a href="https://github.com/tejasprabhune/lec10-diffusion">Diffusion</a></td>
-            <td></td>
+            <td>Tejas, Nemer</td>
         </tr>
         <tr>
             <td style="max-width: 30px;">12</td>
diff --git a/index.md b/index.md
index 529c7a2..0cf609d 100644
--- a/index.md
+++ b/index.md
@@ -1,15 +1,15 @@
 ---
-title: Home
-nav_order: 1
+title: NMEP Spring 2025
+nav_order: 4
 layout: home
 ---
 
-## NMEP Fall 2024
+## NMEP Spring 2025
 
 Welcome everyone!
 In the New Member Education Program (NMEP), we'll be paving a sturdy ML foundation for you—from classical ML to diffusion models. Come hungry to learn and get to know the rest of your class!
 
-Your instructor this semester is Sara Eginova!
+Your instructors this semester are Tejas Prabhune and Tim Xie!
 
 
 ### Schedule
@@ -34,14 +34,14 @@ Your instructor this semester is Sara Eginova!
             <a href="/fa24-nmep/assets/hw0/hw0-math.pdf">Math Review</a>
             <a href="/fa24-nmep/assets/hw0/hw0-pandas.ipynb">Pandas</a>
             <a href="/fa24-nmep/assets/hw0/hw0-numpy.ipynb">Numpy</a></td>
-            <td>Tim, Tejas</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">2</td>
             <td>Sep 30</td>
             <td>Classical ML (<a href="https://docs.google.com/presentation/d/13NwgyAVt6c79NgEvChtRHKd2ntMheDY2qmMQlMmAAS4/edit?usp=drive_link">slides</a>)</td>
             <td></td>
-            <td>Tejas</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">3</td>
@@ -52,7 +52,7 @@ Your instructor this semester is Sara Eginova!
             <a href="https://drive.google.com/file/d/1Up6oxVNy7W_htigekfo2uYSslChIcEof/view?usp=drive_link">Intro to Pytorch</a>
             <a href="https://drive.google.com/drive/folders/1KQLOSiGAPHW-6ORCwtECIkyfUqdNklSu?usp=drive_link">Word Embeddings</a>
             </td>
-            <td>Tim</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">4</td>
@@ -61,7 +61,7 @@ Your instructor this semester is Sara Eginova!
             <td><span class="label label-yellow"><strong>Homework 2</strong></span>
             <a href="https://github.com/mlberkeley/fa24-nmep-hw2/">Model Zhu</a>
             </td>
-            <td>Tejas</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">5</td>
@@ -78,35 +78,35 @@ Your instructor this semester is Sara Eginova!
             <a href="https://github.com/tejasprabhune/hw3-transformers">Transformers</a>
             <a href="/fa24-nmep/assets/hw3/hw3-worksheet.pdf">Worksheet</a>
             </td>
-            <td>Sara</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">7</td>
             <td>Nov 4</td>
             <td>Transformers 2 (<a href="https://docs.google.com/presentation/d/1-qNWqIUD-ld3ijqEhUexp6Usg_ze39hQXXrmdwLc-nI/edit#slide=id.g2fa7bb19c0a_0_0">slides</a>)</td>
             <td></td>
-            <td>Derek</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">8</td>
             <td>Nov 11</td>
             <td>Self-supervised Learning (<a href="https://docs.google.com/presentation/d/1sOigbq6bcI3TIiQD3necn3LrmqJKEJOIoDJnxSN7sfE/edit?usp=drive_link">slides</a>)</td>
             <td><span class="label label-green"><strong>Final Project Proposal</strong></span></td>
-            <td>Tejas</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">9</td>
             <td>Nov 18</td>
             <td>RL (<a href="https://docs.google.com/presentation/d/1ewH5WvMKY0v0n8izLtlwmAskf5zdIcOftNFbO6uP474/edit?usp=sharing">slides</a>)</td>
             <td></td>
-            <td>Saathvik</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">10</td>
             <td>Nov 25</td>
             <td>Ethics, Object Detection (<a href="https://docs.google.com/presentation/d/1FQ-RNjrANvdVjQIY4LFaHAlm9-hNVxRftKNYj56n2K4/edit?usp=sharing">slides</a>)</td>
             <td><span class="label label-green"><strong>Final Project Checkpoint</strong></span><br><span class="label"><strong>Extra Exercise</strong></span> <a href="https://colab.research.google.com/drive/1nDIw-Kj3_6bvhXpBW_W_jMuoNvJeBVo9?usp=drive_link">YOLO</a></td>
-            <td>Tim</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">11</td>
@@ -116,7 +116,7 @@ Your instructor this semester is Sara Eginova!
                 <a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2OIBta2aWKLomTShrIrXbohnK0j6ERU7zkiJmBsAQrUkBFn2t7we6KJzza3gPvFbhLFP-s44ry">Signups 1</a>
                 <a href="https://calendar.google.com/calendar/u/0/appointments/schedules/AcZssZ2Z09UrGFK02sdKhja3VvnVJCc5hSF_9URqSvP038A9YXuKCpjWyzRioGCd683x6U4bngWZARtS">Signups 2</a> (if the other one is full)
                 <br><span class="label"><strong>Lecture Exercise</strong></span> <a href="https://github.com/tejasprabhune/lec10-diffusion">Diffusion</a></td>
-            <td>Tejas, Nemer</td>
+            <td></td>
         </tr>
         <tr>
             <td style="max-width: 30px;">12</td>