content update

README.md

@@ -1,3 +1,3 @@
-### Official Website for CSCI 566 Machine Learning at USC in Spring 2024
+### Official Website for CSCI 566 Deep Learning and its Applications at USC in Spring 2024
 
 The course site is [https://usc-asap.github.io/CICS566-S24/](https://usc-asap.github.io/CICS566-S24/) -- still under construction.

index.html

@@ -110,7 +110,7 @@
                 <ul class="nav navbar-nav">
                     <li><a href="index.html">Home</a></li>
                     <li><a href="schedule.html">Course Schedule</a></li>
-                    <li><a href="files/Syllabus.pdf">Syllabus (not there yet)</a></li>
+                    <li><a href="https://docs.google.com/document/d/15o0ZuBrpOlKZdMKj1vlVhp0mmDtdjCgMXEonVB-njbI/edit?usp=sharing">Syllabus (USC login required)</a></li>
                 </ul>
             </div>
         </div>
@@ -124,23 +124,29 @@ <h1>CSCI 566 Deep Learning and its Applications</h1>
             <img width="400" src="images/usc-banner.png">
         </div>
         <div class="col" style="margin-top:3%; text-align:left;">
-            <p><strong class="university-color">Prospective Students</strong>: The course website is still <strong>under construction</strong>; please check back then. <a href="https://viterbi-web.usc.edu/~yzhao010/"> Yue Zhao</a> will be the instructor for this course (note the name is no longer Deep Learning and Its Applications).
+            <p><strong class="university-color">To Students</strong>: The course website is still <strong>under construction</strong>; please check back frequently and the content is subject to change.
             </p>
 
-            <p><strong class="university-color">Overview</strong>: The major objective of this course is to introduce the mathematical foundations of machine learning. Particular focus will be laid on the conceptual understanding of the math behind machine learning models and algorithms, their applications, and hands-on experience.
+            <p><strong class="university-color">Overview</strong>: The major objective of this course is to introduces the fundamental concepts of machine learning (ML) and deep learning (DL), covering essential mathematical knowledge for classical ML and DL methods.  Students will explore cutting-edge DL applications in computer vision and natural language processing, and see how these technologies revolutionize real-world applications such as image recognition, autonomous vehicles, and more. Through practical assignments and a final project, with the option to select their own topics or choose from a provided list, students will gain hands-on experience solving problems using ML and DL technologies.
+
             </p>
 
-            <p><strong class="university-color">Prerequisites</strong>: (1) Undergraduate level training or coursework in linear algebra, multivariate calculus, basic probability and statistics; (2) Skills in programming with Python (self-studying numpy, scipy, scikit-learn, and related packages is expected).
+            <p><strong class="university-color">Prerequisites</strong>:
+                (1) Proficiency in Python
+                (2) College Calculus, Linear Algebra, Probability and Statistics
+                (3) (Recommended) Equivalent knowledge of CSCI 567 (Machine Learning)
+
             </p>
 
         </div>
 
         <p><strong class="university-color">Basic logistics</strong>:</p>
         <ul>
-        <li><strong>Time:</strong> Fridays, 1:00pm-4:20pm PST</li>
-        <li><strong>Location:</strong> THH 201</li>
-        <li><strong>Discussion:</strong> <a href="https://piazza.com/" target="_blank">Piazza</a></li>
-        <li><strong>Contact:</strong> Students should use <a href="https://piazza.com/" target="_blank">Piazza</a> for any course-related questions. For external inquiries, personal matters, or emergencies, you can email the CSCI 566 staff at <a href="mailto:[email protected]">[email protected]</a>. Please do <em>not</em> email any of the CSCI 566 staff individually.</li>
+            <li><strong>Syllabus:</strong> <a href="https://docs.google.com/document/d/15o0ZuBrpOlKZdMKj1vlVhp0mmDtdjCgMXEonVB-njbI/edit?usp=sharing">Syllabus (USC login required)</a></li>
+            <li><strong>Time:</strong> Fridays, 1:00pm-4:20pm PST</li>
+            <li><strong>Location:</strong> THH 201</li>
+            <li><strong>Discussion:</strong> <a href="https://piazza.com/usc/spring2024/csci566/info " target="_blank">Piazza</a></li>
+            <li><strong>Contact:</strong> Students should use <a href="https://piazza.com/usc/spring2024/csci566/info " target="_blank">Piazza</a> for any course-related questions. For external inquiries, personal matters, or emergencies, you can email the CSCI 566 staff at <a href="mailto:[email protected]">[email protected]</a>. Please do <em>not</em> email any of the CSCI 566 staff individually.</li>
         </ul>
    <hr>
     <div class="staff-container">

schedule.html

@@ -97,7 +97,7 @@
                 <ul class="nav navbar-nav">
                     <li><a href="index.html">Home</a></li>
                     <li><a href="schedule.html">Course Schedule</a></li>
-                    <li><a href="files/Syllabus.pdf">Syllabus (not there yet)</a></li>
+                    <li><a href="https://docs.google.com/document/d/15o0ZuBrpOlKZdMKj1vlVhp0mmDtdjCgMXEonVB-njbI/edit?usp=sharing">Syllabus (USC login required)</a></li>
                 </ul>
             </div>
         </div>