Add homework 4 (part 1)

_aa174a_aut2425/hw4_part_1.markdown

@@ -0,0 +1,12 @@
+---
+title:  "Homework #4 (Part 1)"
+seq_number: 4
+posted_date:   2024-10-31 11:59:00
+due_date:   2024-11-15 23:59:59
+pdf_link: "pdfs/homework/hw4_part_1.pdf"
+md_group: "assignments"
+---
+
+This homework consists of two problems. In the first problem, you will gain exposure to PyTorch and the use of pretrained neural network models applied to a computer vision task (Object Detection). In the second problem, you will implement an algorithm for robotic exploration. Please read the homework carefully. All starter code is provided in Google Colab, and all answers should be compiled in a PDF a submitted via gradescope.
+
+Feel free to use this [Latex template](pdfs/homework/hw.tex).

aa174a_aut2425/index.html

@@ -310,7 +310,7 @@ <h3>Schedule</h3>
               <td class="tg-vnl4">
               Deep learning for computer vision
               <br>Intro to state estimation & filtering theory
-              <br><span style="font-style:italic">Friday: HW4 (part 2) out</span>
+              <br><span style="font-style:italic">Friday: HW4 (part 1) due, HW4 (part 2) out</span>
               </td>
               <td class="tg-vnl4">
                 <!-- Week 8 Lecture Slides -->
@@ -328,8 +328,7 @@ <h3>Schedule</h3>
             <tr>
               <td class="tg-2g2i">9</td>
               <td class="tg-vnl4">
-              <span style="font-style:italic">Tuesday: HW4 (part 1) due</span>
-              <br>Parametric filtering (KF and EKF)
+              Parametric filtering (KF and EKF)
               <br>Markov localization and EKF-localization
               <!-- <br><span style="font-style:italic">Friday: HW4 (part 2) due</span> -->
               </td>