Initial update index.html for Spring 2026

Author: caosuomo

index.html

@@ -29,9 +29,9 @@
         </div>
         <p>
           <strong>Join us</strong>
-          at our weekly meetings, Tuesdays at 5pm.
-          Fall 2022 location: ITLL 1B50.
-          All are welcome.
+          at our weekly meetings.
+          Spring 2026: 2pm Tuesdays and Thursdays in ECES 112.
+          All are welcome!
         </p>
         <p>
           Join our <strong><a href="https://join.slack.com/t/cubdatascienceteam/shared_invite/enQtMzA0MTc1Mjk1NzM0LTRmMDlmYzlmNTFlMGI1OGFlNzI1NzQyZjg4MjZmODMyZjc4ZmI5NDNlZTE5NjU5OTZjYTY3YmQ3N2U5MzQwOGU">Slack channel</a></strong>
@@ -52,10 +52,10 @@
 	  </div>
 	  <div class="col-9 col-12-medium">
 	    <header class="major">
-	      <h2>Fall 2022 Schedule</h2>
+	      <h2>Spring 2026 Schedule</h2>
 	    </header>
             <p>
-              We have an exciting array of speakers lined up this semester!
+              We have an exciting array of speakers lined up this semester!  (Coming soon...)
               Please feel free to join even if you are not in the class (space permitting).
               We will also occasionally have remote speakers in which case anyone can join via <a href="https://cuboulder.zoom.us/j/99378877806">Zoom</a> (pass: "data").</p>
             <style type="text/css">
@@ -65,6 +65,7 @@ <h2>Fall 2022 Schedule</h2>
               //.tg .tg-2b7s{text-align:right;vertical-align:bottom}
               //.tg .tg-7zrl{text-align:left;vertical-align:bottom}
               @media screen and (max-width: 767px) {.tg {width: auto !important;}.tg col {width: auto !important;}.tg-wrap {overflow-x: auto;-webkit-overflow-scrolling: touch;}}</style>
+		  <!--
             <div class="tg-wrap"><table class="tg">
                 <tbody>
                   <tr>
@@ -148,7 +149,7 @@ <h2>Fall 2022 Schedule</h2>
                     <td class="tg-7zrl"></td>
                   </tr>
                 </tbody>
-            </table></div>
+            </table></div> -->
 	  </div>
 	</div>
       </div>
@@ -162,8 +163,8 @@ <h2>Fall 2022 Schedule</h2>
 	    <header class="major">
 	      <h2>Educational Mission</h2>
 	    </header>
-	    <p> Our primary goal is educational: to get hands on experience working in teams applying modern machine learning tools to real problems with real data. As part of this goal, we compete in internal prediction challenges, as well as represent CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian, and other platforms.
-              The team has an official <strong><a href="https://home.cs.colorado.edu/~raf/teaching/codata.html">1-credit companion course</a></strong> as well.
+	    <p> Our primary goal is educational: to get hands on experience working in teams applying modern data science and machine learning tools to real problems with real data. As part of this goal, we compete in internal prediction challenges, as well as represent CU Boulder in global competitions as seen on Kaggle, DrivenData, Quantopian, and other platforms.
+              The team has an official <strong><a href="https://home.cs.colorado.edu/~raf/teaching/codata.html">companion course</a></strong> as well.
 	  </div>
 	  <div class="col-6 col-12-medium imp-medium">
 	    <span class="image fit"><img src="images/first_meeting_fall_sem_2.jpg" alt="" /></span>
@@ -184,7 +185,7 @@ <h2>Educational Mission</h2>
 	      <h2>Meet a Data Scientist (MADS) Series</h2>
 	    </header>
             <p>
-              Every meeting (Tuesdays @ 5pm), we begin by hearing from a practicing data scientist or data science researcher.  Talks are usually 10-15 minutes, and give students a glimpse of the breadth of data science in practice, beyond classroom projects and competitions, and the diversity in the types of data, techniques, and applications.  Researchers often share techniques they are developing, or how they use existing techniques to advance scientific knowledge; practicing data scientists often share their experiences about what works and when it works.  Talks are typically aimed toward beginner and intermediate students, with some technical details for the more advanced students.</p>
+              Every Tuesday meeting, we begin by hearing from a practicing data scientist or data science researcher.  Talks are usually 20 minutes, and give students a glimpse of the breadth of data science in practice, beyond classroom projects and competitions, and the diversity in the types of data, techniques, and applications.  Researchers often share techniques they are developing, or how they use existing techniques to advance scientific knowledge; practicing data scientists often share their experiences about what works and when it works.  Talks are typically aimed toward beginner and intermediate students, with some technical details for the more advanced students.</p>
             <!-- <p> -->
             <!--   If you are a data scientist (broadly construed) and believe a presentation on your current work would be a good fit for the Colorado Data Science Team, please reach out to the leadership team at codata@colorado.edu.</p> -->
 	  </div>
@@ -199,7 +200,7 @@ <h2>Meet a Data Scientist (MADS) Series</h2>
 	<header class="major">
 	  <h2>Want to Learn More?</h2>
 	</header>
-	<p>Sign up for our Slack channel and the 1-credit companion course.</p>
+	<p>Sign up for our Slack channel and companion course.</p>
 	<ul class="actions special">
 	  <li><a href="https://join.slack.com/t/cubdatascienceteam/shared_invite/enQtMzA0MTc1Mjk1NzM0LTRmMDlmYzlmNTFlMGI1OGFlNzI1NzQyZjg4MjZmODMyZjc4ZmI5NDNlZTE5NjU5OTZjYTY3YmQ3N2U5MzQwOGU" class="button wide primary">Sign Up</a></li>
 	  <li><a href="https://home.cs.colorado.edu/~raf/teaching/codata.html" class="button wide">Course Page</a></li>
@@ -217,3 +218,4 @@ <h2>Want to Learn More?</h2>
 
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 </html>
+