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ESCIP · May 8, 2024 · 8cd8608 · 8cd8608
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diff --git a/_sources/workshops/workshop2024.md b/_sources/workshops/workshop2024.md
@@ -30,15 +30,16 @@
 | 9 am - 9:15 am  | **Welcome message by [Prof Theresa Windus](https://www.chem.iastate.edu/people/theresa-windus), chair of ISU Chemistry Department**|
 | 9:15 am - 9:30 pm | **Intorduction to ESCIP workshop by [Prof. Davit Potoyan](https://www.chem.iastate.edu/people/davit-potoyan)**|
 | 9:30 am - 10:15 pm | **[Prof. Tom Holme](https://www.chem.iastate.edu/people/tom-holme), Iowa State University** |
-| 10:15 am - 11:00 pm | **Tour of ESCIP repository part 1 (escip.github.io)** |
+| 10:15 am - 11:00 pm | "Tour of ESCIP repository part 1 (escip.github.io)" <br> **[Prof. Davit Potoyan](https://www.chem.iastate.edu/people/davit-potoyan)** |
 | 11 am - 11:45 pm | "Navigating ChatGPT: Empowering Education with the P.E.E.R.S. Approach" <br> **[Dr. Andrew Severin](https://www.bcb.iastate.edu/people/andrew-severin), Iowa State University**  |
 | 12 pm - 2 pm | Lunch and informal discussions|
 | 2:00 pm - 2:45 pm | **[Jason Pearson](https://islandscholar.ca/people/jpearson), University of Prince Edward Island** |
 | 3:00 pm - 3:45 pm | "Enhancing code literacy and computational thinking in chemistry courses with Python coding projects" <br> **[Prof. Gianmarc Grazioli](https://gianmarc.com/), San Jose State University**|
 | 3:45 pm - 4:00 pm | **Discussion**|
 | 4:00 pm - 4:45 pm | "ChatGPT as an ‘Agent to Think With" <br> **[Prof. Ted Clark ](https://chemistry.osu.edu/people/clark.789), Ohio State University**|
 | 4:45 pm - 5:00 pm | **Discussion**|
-| 5:00-5:45 pm | **[Dr. Ardith Bravenec](https://depts.washington.edu/astrobio/wordpress/profile/ardith-bravenec/), University of Washington**|
+| 5:00-5:45 pm | "Inspiring Individual Intelligence: Constructivist Learning with Python Notebooks and
+AI" <br> **[Dr. Ardith Bravenec](https://depts.washington.edu/astrobio/wordpress/profile/ardith-bravenec/), University of Washington**|
 | 5:00-6:00 pm | **Dinner and lightning talks**|
 | 5:00-5:15 pm|  "Implementing high-performance computing in undergraduate education" <br> **[Prof. Pavel Lukashev](https://chas.uni.edu/physics/directory/pavel-lukashev), University of Northern Iowa**|
 | 5:20:5:35 pm | "Exploring ChatGPT's Role in STEM Education: Benefits and Challenges in Liberal Arts Classrooms" <br> **[Prof. Shanshan Rodriguez](https://www.grinnell.edu/user/rodriguezs), Grinell College**|

diff --git a/notebooks/astro/sdss_tutorial_1.html b/notebooks/astro/sdss_tutorial_1.html
@@ -621,7 +621,7 @@ <h2>Visualizing Data<a class="headerlink" href="#visualizing-data" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/c1b9f9c71fc42f35e359cb2a26e9897bb39992211c555ae36806dbdb419a9729.png" src="../../_images/c1b9f9c71fc42f35e359cb2a26e9897bb39992211c555ae36806dbdb419a9729.png" />
+<img alt="../../_images/f67c9f12c9174274a6998d68a6ce7a053c076b23613eda33befaca328c9efeb7.png" src="../../_images/f67c9f12c9174274a6998d68a6ce7a053c076b23613eda33befaca328c9efeb7.png" />
 </div>
 </div>
 <p>In the case where you have two sets of data that you want to show on the same plot, you can also do that easily with the <strong>scatter</strong> function.  To help make it understandable, you’ll want to add a <strong>labels</strong> and a <strong>legend</strong>.  An example of how to do that is shown below.</p>
@@ -659,7 +659,7 @@ <h2>Visualizing Data<a class="headerlink" href="#visualizing-data" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/bd671c098fdad3c4ff4ff32a0ba655d5912019b04d58ce03ad37c897d4282f28.png" src="../../_images/bd671c098fdad3c4ff4ff32a0ba655d5912019b04d58ce03ad37c897d4282f28.png" />
+<img alt="../../_images/ce1b0e0a08e228a34fdbcca5c8a14a5e99cdf7d7d279cc9bb98308a2844be12c.png" src="../../_images/ce1b0e0a08e228a34fdbcca5c8a14a5e99cdf7d7d279cc9bb98308a2844be12c.png" />
 </div>
 </div>
 <p>If you wanted to compare the distribution of cats and dogs along the x-axis, a <strong>histogram</strong> is probably the easiest way to do that…</p>
@@ -679,7 +679,7 @@ <h2>Visualizing Data<a class="headerlink" href="#visualizing-data" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/876007555e33ec468d5c324cc0736735fcdcd41c8fcac414d3589a2e0b4e521e.png" src="../../_images/876007555e33ec468d5c324cc0736735fcdcd41c8fcac414d3589a2e0b4e521e.png" />
+<img alt="../../_images/140977ce5f26b951d606ad12706a1d96d113f1cce1b144cdd282a9edc24725bd.png" src="../../_images/140977ce5f26b951d606ad12706a1d96d113f1cce1b144cdd282a9edc24725bd.png" />
 </div>
 </div>
 <p>If the overlap in the samples is too confusing, you can change the format of the histogram (<strong>histtype</strong>) so that it’s not filled in.  Different line styles (<strong>ls</strong>) will make sure the plot is readable even if it’s printed in black and white.</p>
@@ -698,7 +698,7 @@ <h2>Visualizing Data<a class="headerlink" href="#visualizing-data" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/c76827dd86e026d7cd72d975f38e0af809b8b90d51ed1dfecfa7382b13396937.png" src="../../_images/c76827dd86e026d7cd72d975f38e0af809b8b90d51ed1dfecfa7382b13396937.png" />
+<img alt="../../_images/d6c47e5331c047ab42eb4bd30c3214ff50544225b5cfc205dd1903732462ce0b.png" src="../../_images/d6c47e5331c047ab42eb4bd30c3214ff50544225b5cfc205dd1903732462ce0b.png" />
 </div>
 </div>
 <p>Normalizing the histograms (using the keyword: <strong>density=‘True’</strong>) makes it easier to compare the shapes of distributions even when one sample is much more numerous than the other.  This is calculated by dividing each bin by the total area of the histogram.</p>
@@ -717,7 +717,7 @@ <h2>Visualizing Data<a class="headerlink" href="#visualizing-data" title="Permal
 </div>
 </div>
 <div class="cell_output docutils container">
-<img alt="../../_images/ad4b0c8fc4ca3129de29895f524fdd56a9591de041d747b2afc4d0bf8018f93e.png" src="../../_images/ad4b0c8fc4ca3129de29895f524fdd56a9591de041d747b2afc4d0bf8018f93e.png" />
+<img alt="../../_images/1bf73c0d3728131d873c6a5a86c17be415dd51ce3fca8171eb3d1a7384d2c8ea.png" src="../../_images/1bf73c0d3728131d873c6a5a86c17be415dd51ce3fca8171eb3d1a7384d2c8ea.png" />
 </div>
 </div>
 <section id="your-turn-what-happens-if-you-change-the-style-of-the-plot">