schedule updates after class cancellation

_modules/week-04.md

@@ -2,7 +2,7 @@
 title: Week 4 - Molding and Modeling Data
 ---
 
-In this module, we investigate the critical procedures involved in annotating data, thereby preparing it for analysis. These processes invariably entail the making of mindful decisions. As we gear up for the hands-on tutorials, we also explore an integral component of data analysis: data modeling. We will demystify this process, its bearing on our data handling techniques, and what constitutes an effective data model.
+In this module, we investigate the critical procedures involved in data creation and cleaning, and how [OpenRefine](https://openrefine.org/) can be used in this process. These processes invariably entail the making of mindful decisions. During our second session this week, we will look at the technology behind making text digitally readable.
 
 <details>
   <summary class="session-summary">
@@ -17,7 +17,7 @@ In this module, we investigate the critical procedures involved in annotating da
   - [Schöch, Christof. “Big? Smart? Clean? Messy? Data in the Humanities.”](https://app.perusall.com/courses/intro-to-digital-humanities-fall-2024/scho-ch_big) _Journal of Digital Humanities_, vol. 2, no. 3, 2013.
   - [Rawson, Katie, and Muñoz Trevor. “Against Cleaning.”](https://app.perusall.com/courses/intro-to-digital-humanities-fall-2024/rawson_trevor_2019_against-cleaning) _Debates in the Digital Humanities_, University of Minnesota Press, 2019, pp. 279–92.
   <!-- - [Broman, Karl W., and Kara H. Woo. “Data Organization in Spreadsheets.”](https://app.perusall.com/courses/introdh24/data-organization-in-spreadsheets-23277228) _The American Statistician_, vol. 72, no. 1, 2018, pp. 2–10. <small>&rarr; **Perusall annotations are optional for this article.**</small> -->
-  - **Make sure your annotations are added in Perusall and your reflection is posted in the** <a href="https://introtodh-fall2024.slack.com/archives/C07JYA7QTM0" style="color: #ee6374;">**#reflections** </a>**channel on Slack** <a style="color: #ee6374;">**no later than 11:59PM on the day before our class.**</a>
+  - **In case you haven't already -- make sure your annotations are added in Perusall and your reflection is posted in the** <a href="https://introtodh-fall2024.slack.com/archives/C07JYA7QTM0" style="color: #ee6374;">**#reflections** </a>**channel on Slack** <a style="color: #ee6374;">**no later than 11:59PM on the day before our class.**</a>
 </div>
 </details>
 
@@ -26,11 +26,13 @@ In this module, we investigate the critical procedures involved in annotating da
     <span class="arrow">↪</span>
     <span class="date-label">Sept 26</span>
     <span class="label label-blue">Discussion</span>
-    <span class="session-title">Markup</span>
+    <span class="session-title">Text Recognition Technologies, pt. I</span>
   </summary>
   <div markdown="1">
 - Slides (_coming soon!_)
-<!-- - Presentation overview: -->
+- Presentation overview:
+  <!-- - [Terras, Melissa. “The Role of the Library When Computers Can Read: Critically Adopting Handwritten Text Recognition (HTR) Technologies to Support Research.”](https://app.perusall.com/courses/intro-to-digital-humanities-fall-2024/terras-2022-the-role-of-the-library-when-computers-can-read-c-404383324) _The Rise of AI_, edited by Amanda Wheatley and Sandy Hervieux, ACRL - Association of College & Research Libraries, 2022, pp. 137–48. -->
+
   <!-- - On this day, students will present their Data Biographies. This is a chance to share the intriguing stories behind the datasets you've explored! -->
   <!-- - Each presentation should last approximately -- but also no more than -- **4 minutes**, followed by a brief (~1 minute) Q&A session. -->
   <!-- - Focus on the **narrative** of your Data Biography, presenting on aspects you find interesting, such as origin, collector(s), collection method(s), intended use, and any limitations or ethical considerations. -->

_modules/week-05.md

@@ -1,15 +1,15 @@
 ---
-title: Week 5 - Text Digitization and Markup Languages
+title: Week 5 - Text Digitization (pt. II) and Distant Reading
 ---
 
-During our first session this week, we will look at  into the technology behind making text digitally readable. Our historic postcard collection provides the perfect case study for exploring both Optical Character Recognition (OCR) and Handwritten Text Recognition (HTR) technologies. In our subsequent session, we will explore the world of markup languages, such as HTML and XML. We will discuss their significance in structuring and presenting digital content, and explore how these languages serve as the backbone of content representation on the web.
+During our first session this week, we will continue with our exploring of Handwritten Text Recognition (HTR) and Optical Character Recognition (OCR) technologies. In the second session, we will shift our focus to Distant Reading, a method of analyzing large bodies of text to uncover patterns and trends that are not immediately apparent.
 
 <details>
   <summary class="session-summary">
     <span class="arrow">↪</span>
     <span class="date-label">Oct 1</span>
     <span class="label label-red">Lab</span>
-    <span class="session-title">Text Recognition Technologies</span>
+    <span class="session-title">Text Recognition Technologies, pt. II</span>
   </summary>
   <div markdown="1">
 - Slides (_coming soon!_)
@@ -26,7 +26,7 @@ During our first session this week, we will look at  into the technology behind
     <span class="arrow">↪</span>
     <span class="date-label">Oct 3</span>
     <span class="label label-red">Lab</span>
-    <span class="session-title">Markup Languages</span>
+    <span class="session-title">Distant Reading</span>
   </summary>
   <div markdown="1">
 - Slides (_coming soon!_)

_modules/week-06.md

@@ -2,14 +2,14 @@
 title: Week 6 - Distant Reading
 ---
 
-This week begins with a lecture on Distant Reading, where we will explore the theoretical framework and methodologies for analyzing large bodies of text. We'll discuss how this approach can uncover patterns and trends that are not immediately apparent, setting the stage for the hands-on lab session where we will be leveraging the web-based [Voyant Tools](https://voyant-tools.org/), known for their user-friendly, powerful capabilities for visual text analysis. This module is designed to be both instructive and engaging, providing you with practical experience using digital tools to analyze large textual data sets. Drawing inspiration from the works of [El Khatib and Ross (2022)](https://doi.org/10.17613/42c8-mk80), we will conduct an ecological reading of Emily Brontë’s novel *Jane Eyre*, and an exploratory thematic analysis of Mary Shelley’s *Frankenstein*.
+This week begins with a hands-on lab session where we will be leveraging the web-based [Voyant Tools](https://voyant-tools.org/), known for their user-friendly, powerful capabilities for visual text analysis. This module is designed to be both instructive and engaging, providing you with practical experience using digital tools to analyze large textual data sets. Drawing inspiration from the works of [El Khatib and Ross (2022)](https://doi.org/10.17613/42c8-mk80), we will conduct an ecological reading of Emily Brontë’s novel *Jane Eyre*, and an exploratory thematic analysis of Mary Shelley’s *Frankenstein*. 
 
 <details>
   <summary class="session-summary">
     <span class="arrow">↪</span>
     <span class="date-label">Oct 8</span>
-    <span class="label label-blue">Discussion</span>
-    <span class="session-title">Distant Reading</span>
+    <span class="label label-red">Lab</span>
+    <span class="session-title">Applying <i>Voyant Tools</i></span>
   </summary>
   <div markdown="1">
 - Slides (_coming soon!_)
@@ -25,8 +25,8 @@ This week begins with a lecture on Distant Reading, where we will explore the th
   <summary class="session-summary">
     <span class="arrow">↪</span>
     <span class="date-label">Oct 10</span>
-    <span class="label label-red">Lab</span>
-    <span class="session-title">Applying <i>Voyant Tools</i></span>
+    <span class="label label-green">Present</span>
+    <span class="session-title">Data Biographies</span>
   </summary>
   <div markdown="1">
 - Slides (_coming soon!_)