diff --git a/Index.html b/Index.html
index 8bdb001..36a93c9 100644
--- a/Index.html
+++ b/Index.html
@@ -159,7 +159,11 @@ <h2>Lecture 1: Introduction</h2>
 agricultural development decision.</p></li>
 </ul>
 <p>Here is a course overview:</p>
-<p><img src="images/DA-Overview.png" style="width:6in" /></p>
+<p><img src="images/DA-Overview.png" style="width:9in" /></p>
+<p><a
+href="https://raw.githubusercontent.com/CWWhitney/Decision_Analysis_Course/main/images/DA-Overview.png">Enlarged
+figure</a></p>
+<!-- <a href="https://raw.githubusercontent.com/CWWhitney/Decision_Analysis_Course/main/images/DA-Overview.png" enl>Download this figure</a> doesn't work -->
 </div>
 <div id="section-course-content" class="section level2">
 <h2>Course content</h2>
@@ -572,8 +576,8 @@ <h2>Lecture 2: Decision Analysis Overview</h2>
 bring up any questions or concerns in the Slack or to <a
 href="mailto:cory.whitney@uni-bonn.de?subject=%5BSeminar_2%5D%20Decision%20Analysis%20Lecture">Dr. Cory
 Whitney</a> or the course tutor.</p>
-<p>Please take a few minutes to watch these six short videos and do the
-associated exercises before our meeting.</p>
+<p>Please take time to watch these six short videos and do the
+associated exercises.</p>
 <div id="section-introduction-1" class="section level3">
 <h3>Introduction</h3>
 <p>The introduction outlines the general theory and application of
@@ -697,7 +701,7 @@ <h3>Part 4: Overcoming Bias</h3>
 describe with calibrated-expert derived uncertainty distributions.</p>
 <iframe width="560" height="315" src="https://www.youtube.com/embed/dlUz5XT-u98" frameborder="0" allowfullscreen>
 </iframe>
-<p>Find the lecture slides <a href="">on Github</a>.</p>
+<p>Find the lecture slides in the respective Slack channels.</p>
 </div>
 <div id="section-parts-5-and-6-case-studies-conclusions"
 class="section level3">
@@ -1097,22 +1101,22 @@ <h2>References</h2>
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@@ -1125,28 +1129,28 @@ <h2>References</h2>
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@@ -1158,27 +1162,27 @@ <h2>References</h2>
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@@ -1189,7 +1193,7 @@ <h2>References</h2>
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     answer = "question-2-answer", question = "question-2"), loading = NULL, 
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 </script>
@@ -1197,21 +1201,21 @@ <h2>References</h2>
 
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@@ -1223,7 +1227,7 @@ <h2>References</h2>
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@@ -1231,15 +1235,15 @@ <h2>References</h2>
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     question = structure("How do we define a decision in the context of Decision Analysis?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_b083665", 
+    "character")), answers = list(structure(list(id = "lnr_ans_dc2bc3", 
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         option = "A logical choice between different options", 
         value = "A logical choice between different options", 
         label = structure("A logical choice between different options", html = TRUE, class = c("html", 
@@ -1252,7 +1256,7 @@ <h2>References</h2>
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 </script>
 
@@ -1260,17 +1264,17 @@ <h2>References</h2>
 <script type="application/shiny-prerendered" data-context="server">
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-    "character")), answers = list(structure(list(id = "lnr_ans_e3436c5", 
+    "character")), answers = list(structure(list(id = "lnr_ans_118770f", 
         option = "To think beforehand what might occur and what the outcomes might be, to expose weak links.", 
         value = "To think beforehand what might occur and what the outcomes might be, to expose weak links.", 
         label = structure("To think beforehand what might occur and what the outcomes might be, to expose weak links.", html = TRUE, class = c("html", 
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@@ -1283,24 +1287,24 @@ <h2>References</h2>
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     question = structure("What is the underlying idea in transdisciplinary approaches for agricultural development?", html = TRUE, class = c("html", 
-    "character")), answers = list(structure(list(id = "lnr_ans_cb72ea5", 
+    "character")), answers = list(structure(list(id = "lnr_ans_502a42b", 
         option = "Farmers should be part of the research process.", 
         value = "Farmers should be part of the research process.", 
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         "character")), correct = FALSE, message = NULL, type = "literal"), class = c("tutorial_question_answer", 
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         option = "Making use of big data to generate models.", 
         value = "Making use of big data to generate models.", 
         label = structure("Making use of big data to generate models.", html = TRUE, class = c("html", 
@@ -1314,7 +1318,7 @@ <h2>References</h2>
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         question = "question-DA-approaches_trans-research"), 
     loading = NULL, random_answer_order = FALSE, allow_retry = TRUE, 
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+    seed = 1363559225.86504, options = list()), class = c("learnr_radio", 
 "tutorial_question")), session = session)
 </script>
 
@@ -1322,21 +1326,21 @@ <h2>References</h2>
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         option = "We need to use all available evidence.", value = "We need to use all available evidence.", 
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         option = "We need to characterize decision uncertainty.", 
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-    "tutorial_quiz_answer")), structure(list(id = "lnr_ans_2acf2a4", 
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         value = "We need to get a lot of data and do analysis of these data sets.", 
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@@ -1349,7 +1353,7 @@ <h2>References</h2>
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diff --git a/Lecture_01_Introduction.Rmd b/Lecture_01_Introduction.Rmd
index 54ca937..3260bc4 100644
--- a/Lecture_01_Introduction.Rmd
+++ b/Lecture_01_Introduction.Rmd
@@ -20,7 +20,11 @@ Decisions in agriculture are often risky, meaning that decision makers have unce
   Here is a course overview:
   
   
-![](images/DA-Overview.png){width=6in}
+![](images/DA-Overview.png){width=9in}
+
+[Enlarged figure](https://raw.githubusercontent.com/CWWhitney/Decision_Analysis_Course/main/images/DA-Overview.png)
+
+<!-- <a href="https://raw.githubusercontent.com/CWWhitney/Decision_Analysis_Course/main/images/DA-Overview.png" enl>Download this figure</a> doesn't work -->
 
 ## Course content
 
diff --git a/Lecture_02_Decision_Analysis.Rmd b/Lecture_02_Decision_Analysis.Rmd
index 1e3347d..df2106c 100644
--- a/Lecture_02_Decision_Analysis.Rmd
+++ b/Lecture_02_Decision_Analysis.Rmd
@@ -11,12 +11,12 @@
 
 Welcome to lecture 2 of **Decision Analysis and Forecasting for Agricultural Development**. In this lecture we will follow a [six-part micro-series of videos](https://www.youtube.com/playlist?list=PLe1C9W5AtEiBzmXFf-XzmXH8NNJjqs0IY) and use the `#lecture-02-overview` Slack channel and Zoom meeting to follow up. This will allow us all to have a chance to see your progress, provide feedback. It will be encouraging to others to see activity from colleagues. Feel free to bring up any questions or concerns in the Slack or to [Dr. Cory Whitney](mailto:cory.whitney@uni-bonn.de?subject=[Seminar_2]%20Decision%20Analysis%20Lecture) or the course tutor.
 
-Please take a few minutes to watch these six short videos and do the associated exercises before our meeting.
+Please take time to watch these six short videos and do the associated exercises.
 
 ### Introduction
 
 The introduction outlines the general theory and application of Decision Analysis tools. **At the end of the video please take a moment to think about decisions that are made in agricultural development**, ideally decisions that are relevant to your research interests. Please share these with us in the Slack channel.
-
+You can find the lecture slides in the respective Slack channels.
 **Remember to take a moment to gather your thoughts so far and share with us in Slack. **
 
 <!-- ![](https://youtu.be/7P2YI9-smfU) -->
@@ -121,8 +121,6 @@ Part 4 gives an overview of various types of cognitive biases and outlines how t
 
 <iframe width="560" height="315" src="https://www.youtube.com/embed/dlUz5XT-u98" frameborder="0" allowfullscreen></iframe>
 
-Find the lecture slides [on Github](). 
-
 ### Parts 5 and 6: Case Studies, Conclusions
 
 Parts 5 and 6 offer some brief Decision Analysis case studies and conclusions. At the end of the video please take some time to revisit your model and consider these approaches in practice. Feel free to discuss in Slack about what application these approaches might have with regard to your research.