diff --git a/checklist.md b/checklist.md
index 95acbaecd2676290137f61d09cf4d242f950e93d..53ccad3f833678987a9f4d99c4b340e8261bb692 100644
--- a/checklist.md
+++ b/checklist.md
@@ -16,8 +16,8 @@ The course runs every session each year: Fall, Spring, Summer. The UAB Academic
     - Please visit [Canvas: Add/Remove User(s) SLA page](https://uabprod.service-now.com/service_portal?id=sc_cat_item&sys_id=76f97b59374a670024a67c1643990ece).
     - Teacher/Instructor List:
         - `wwarr` for William Warriner
-        - `ravi89` for Ravi Tripathi
         - `mdefende` for Matt Defenderfer
+        - `prema` for Prema Soundararajan
 
 ### Teachers/Other Instructors
 
@@ -114,8 +114,7 @@ The course runs every session each year: Fall, Spring, Summer. The UAB Academic
     6. Switch to WYSIWYG mode: click `</>` symbol again.
     7. Check "Show Course Summary" checkbox.
     8. Verify formatting is correct.
-    9. Make a note of the Syllabus page URL for use with the Assignments page. _Not_ the Syllabus editing page!
-    10. Update syllabus at <https://s3.lts.rc.uab.edu/uab-rc-dsjc/syllabus.html> by manual upload.
+    9. Update syllabus at <https://s3.lts.rc.uab.edu/uab-rc-dsjc/syllabus.html> by manual upload.
 - [ ] Set up Home page.
     1. Navigate to Home page.
     2. Click "Choose Home Page" button.
diff --git a/demonstration_assignment.html b/demonstration_assignment.html
index 5b4c507ff626cd4c25782dbc690e2c86709f4884..4ea448c3d8eb89deffc753946f5017d0baec6c55 100644
--- a/demonstration_assignment.html
+++ b/demonstration_assignment.html
@@ -1,9 +1,7 @@
 <p>Bear in mind objectives and resources from the <a title="Syllabus" href="">Syllabus</a>:</p>
 <ol start="1" type="1">
-    <li>Learn new data science stuff</li>
-    <li>Grapple with that new stuff</li>
-    <li>Discuss that new stuff with us at Office Hours</li>
+<li>Learn new data science stuff</li>
+<li>Grapple with that new stuff</li>
+<li>Discuss that new stuff with us at Office Hours</li>
 </ol>
-<p>Office Hours are held Mondays and Thursdays from 10 AM to noon via Zoom. Meeting links are available at <a
-        class="inline_disabled" href="https://docs.rc.uab.edu/#how-to-contact-us" target="_blank"
-        rel="noopener noreferrer">https://docs.rc.uab.edu/#how-to-contact-us</a>.</p>
\ No newline at end of file
+<p>Office Hours are held Mondays and Thursdays from 10 AM to noon via Zoom. Meeting links are available at <a class="inline_disabled" href="https://docs.rc.uab.edu/#how-to-contact-us" target="_blank" rel="noopener noreferrer">https://docs.rc.uab.edu/#how-to-contact-us</a>.</p>
\ No newline at end of file
diff --git a/syllabus.html b/syllabus.html
index 4c3dce9de6b86bd4fdfe3d1f7800f0f82318f890..7ef1f938b248ae61c534f468943aa5dd0c9bee3c 100644
--- a/syllabus.html
+++ b/syllabus.html
@@ -1,218 +1,130 @@
 <h2 id="top_">SP2024 GBSC/IDNE 720/790-VTR JC- Data Science Club</h2>
 <p>Welcome!</p>
-<p>The Data Science Journal Club course comes from a collaboration between the UAB IT Research Computing (RC) group, the
-    Graduate Biomedical Sciences (GBSC) department and the Neuroengineering (IDNE) department. The course exists to
-    foster knowledge transfer between Research Computing and students interested in growing their data science,
-    programming and high-performance computing skill set. Future years will see increasing demand for these skills in
-    every employment sector. Our goal is to enable students to be more competitive in their future careers by
-    facilitating self-directed growth in the data science space. We accept students at all skill levels of data science,
-    assuming familiarity with computers and graphical plots.</p>
-<p>While the course is mostly self-directed and hands-off, we don't want students to get lost. We want you to be
-    successful and come away from this course feeling confident in applying the skills you have learned. If you have
-    concerns, get stuck, need ideas or even a <a href="https://en.wikipedia.org/wiki/Rubber_duck_debugging">rubber
-        duck</a>, please feel free to contact us.</p>
+<p>The Data Science Journal Club course comes from a collaboration between the UAB IT Research Computing (RC) group, the Graduate Biomedical Sciences (GBSC) department and the Neuroengineering (IDNE) department. The course exists to foster knowledge transfer between Research Computing and students interested in growing their data science, programming and high-performance computing skill set. Future years will see increasing demand for these skills in every employment sector. Our goal is to enable students to be more competitive in their future careers by facilitating self-directed growth in the data science space. We accept students at all skill levels of data science, assuming familiarity with computers and graphical plots.</p>
+<p>While the course is mostly self-directed and hands-off, we don't want students to get lost. We want you to be successful and come away from this course feeling confident in applying the skills you have learned. If you have concerns, get stuck, need ideas or even a <a href="https://en.wikipedia.org/wiki/Rubber_duck_debugging">rubber duck</a>, please feel free to contact us.</p>
 <p>&nbsp;</p>
-<p>Please take the time to read this syllabus in its entirety. All of the information here should be useful as you work
-    through the course.</p>
+<p>Please take the time to read this syllabus in its entirety. All of the information here should be useful as you work through the course.</p>
 <p>&nbsp;</p>
 <h3>Instructor Information:</h3>
 <p>Course Instructors (please contact us first!)</p>
 <p>William Warriner (he/him), <a href="mailto:wwarr@uab.edu" target="_blank" rel="noopener">wwarr@uab.edu</a></p>
 <p>Matthew Defenderfer, <a href="mailto:mdefende@uab.edu" target="_blank" rel="noopener">mdefende@uab.edu</a></p>
-<p>Office Hours information is available here: <a class="inline_disabled" href="https://docs.rc.uab.edu/#contact-us"
-        target="_blank" rel="noopener">https://docs.rc.uab.edu/#contact-us</a></p>
+<p>Office Hours information is available here: <a class="inline_disabled" href="https://docs.rc.uab.edu/#contact-us" target="_blank" rel="noopener">https://docs.rc.uab.edu/#contact-us</a></p>
 <p>&nbsp;</p>
 <p>Instructor of Record (please contact only as a last resort!)</p>
 <p>Kristina Visscher, <a href="mailto:kmv@uab.edu" target="_blank" rel="noopener">kmv@uab.edu</a></p>
 <p>&nbsp;</p>
 <h3 id="dei">Diversity, Equity and Inclusion (DEI) Statement:</h3>
-<p>The University of Alabama at Birmingham considers the diversity of its students, faculty, and staff to be a strength
-    and critical to its educational mission. In this class, we will strive to be an inclusive community where we can
-    learn from the many perspectives and worldviews which may differ from our own. We are all expected to contribute to
-    creating a respectful, welcoming, and safe environment that fosters a sense of belonging through open and honest
-    dialogue. To this end, we should always conduct discussions in a way that honors, respects, and extends dignity to
-    all class members.</p>
-<p>Please visit <a class="inline_disabled" href="https://www.uab.edu/dei/" target="_blank" rel="noopener">The DEI
-        Website</a> for more information.<a href="mailto:kmv@uab.edu" target="_blank" rel="noopener"></a></p>
+<p>The University of Alabama at Birmingham considers the diversity of its students, faculty, and staff to be a strength and critical to its educational mission. In this class, we will strive to be an inclusive community where we can learn from the many perspectives and worldviews which may differ from our own. We are all expected to contribute to creating a respectful, welcoming, and safe environment that fosters a sense of belonging through open and honest dialogue. To this end, we should always conduct discussions in a way that honors, respects, and extends dignity to all class members.</p>
+<p>Please visit <a class="inline_disabled" href="https://www.uab.edu/dei/" target="_blank" rel="noopener">The DEI Website</a> for more information.<a href="mailto:kmv@uab.edu" target="_blank" rel="noopener"></a></p>
 <p>&nbsp;</p>
 <h3 id="intent">Course Intent:<strong><br /></strong></h3>
-<p>Our intent with the course has three parts. The first is for students to learn new techniques and technologies to
-    assist with or facilitate data science. The second is for students to grapple with the application of those
-    techniques and technologies. The third is to discuss with us how that went so we can check understanding and provide
-    mentoring and guidance. We also love seeing all the cool stuff our students learn, and frequently find ourselves
-    learning new perspectives, details, gotchas and technologies in the process.</p>
+<p>Our intent with the course has three parts. The first is for students to learn new techniques and technologies to assist with or facilitate data science. The second is for students to grapple with the application of those techniques and technologies. The third is to discuss with us how that went so we can check understanding and provide mentoring and guidance. We also love seeing all the cool stuff our students learn, and frequently find ourselves learning new perspectives, details, gotchas and technologies in the process.</p>
 <p>To summarize students will:</p>
 <ol start="1" type="1">
-    <li>Learn new data science related stuff</li>
-    <li>Grapple with that new stuff</li>
-    <li>Discuss that new stuff with us</li>
+<li>Learn new data science related stuff</li>
+<li>Grapple with that new stuff</li>
+<li>Discuss that new stuff with us</li>
 </ol>
 <p>&nbsp;</p>
 <h3 id="work">Required Work:</h3>
 <p>All students are required to give three demonstrations<strong></strong></p>
 <ul>
-    <li>during any office hours, one per visit...</li>
-    <li>...in a student-led informal discussion style.</li>
-    <li>Students may collaborate on projects...</li>
-    <li>...but each student must show their original work.</li>
-    <li>Each demonstration must be data science related or somehow facilitate data science.</li>
+<li>during any office hours, one per visit...</li>
+<li>...in a student-led informal discussion style.</li>
+<li>Students may collaborate on projects...</li>
+<li>...but each student must show their original work.</li>
+<li>Each demonstration must be data science related or somehow facilitate data science.</li>
 </ul>
-<p>We realize the last bullet point is very broad, so we account for student knowledge, skill and experience when you
-    give your demonstrations. We have no expectations of student starting skill level or experience. With that in mind,
-    examples of past topics are included in the following list. If you have an idea but are unsure if it would be
-    sufficient material, please feel free to contact us.</p>
+<p>We realize the last bullet point is very broad, so we account for student knowledge, skill and experience when you give your demonstrations. We have no expectations of student starting skill level or experience. With that in mind, examples of past topics are included in the following list. If you have an idea but are unsure if it would be sufficient material, please feel free to contact us.</p>
 <ul>
-    <li>Using machine learning or deep learning to create a predictive model.</li>
-    <li>Creating your very first Anaconda environment to share with collaborators.</li>
-    <li>Learning to use version control (git and github) with your existing code.</li>
-    <li>Extracting insights from existing results by applying new visualization methods.</li>
-    <li>Migrating a data analysis workflow from Excel to Python and pandas.</li>
-    <li>Scaling a data analysis workflow from a lab workstation to Cheaha.</li>
-    <li>Exploring a new programming language.</li>
-    <li>Writing your very first script in any programming language.</li>
-    <li>Identifying and extracting salient features from complex data for further processing.</li>
-    <li>Understand what makes data tidy and why it is important.</li>
+<li>Using machine learning or deep learning to create a predictive model.</li>
+<li>Creating your very first Anaconda environment to share with collaborators.</li>
+<li>Learning to use version control (git and github) with your existing code.</li>
+<li>Extracting insights from existing results by applying new visualization methods.</li>
+<li>Migrating a data analysis workflow from Excel to Python and pandas.</li>
+<li>Scaling a data analysis workflow from a lab workstation to Cheaha.</li>
+<li>Exploring a new programming language.</li>
+<li>Writing your very first script in any programming language.</li>
+<li>Identifying and extracting salient features from complex data for further processing.</li>
+<li>Understand what makes data tidy and why it is important.</li>
 </ul>
-<p>As you prepare for your demonstrations, please be thinking about the context of your work. An incomplete list of
-    questions to guide your thoughts about context.</p>
+<p>As you prepare for your demonstrations, please be thinking about the context of your work. An incomplete list of questions to guide your thoughts about context.</p>
 <ul>
-    <li>What are some drawbacks or limitations?</li>
-    <li>How does it compare to alternatives?</li>
-    <li>How does it work?</li>
-    <li>Why does it work?</li>
-    <li>Where can we go next?</li>
-    <li>Why will others want to use my work?</li>
-    <li>How can I transfer techniques to other projects?</li>
+<li>What are some drawbacks or limitations?</li>
+<li>How does it compare to alternatives?</li>
+<li>How does it work?</li>
+<li>Why does it work?</li>
+<li>Where can we go next?</li>
+<li>Why will others want to use my work?</li>
+<li>How can I transfer techniques to other projects?</li>
 </ul>
 <p>Be prepared for us to challenge you with new ways of thinking!</p>
-<p><strong>We are less interested in what your results are, and more interested in how you obtained those results and
-        how they fit into the context of data science in general and your field in particular.<br /></strong></p>
-<p>If you are not able to make the office hours sessions, please contact us as soon as possible to make alternative
-    arrangements.</p>
-<p><strong>The dates in the course summary below are the last day of final exams, and therefore the due dates for the
-        demonstrations. Please plan ahead to finish all three of them before that date. We cannot accept work after the
-        due dates below without prior, individual discussion.<br /></strong></p>
+<p><strong>We are less interested in what your results are, and more interested in how you obtained those results and how they fit into the context of data science in general and your field in particular.<br /></strong></p>
+<p>If you are not able to make the office hours sessions, please contact us as soon as possible to make alternative arrangements.</p>
+<p><strong>The dates in the course summary below are the last day of final exams, and therefore the due dates for the demonstrations. Please plan ahead to finish all three of them before that date. We cannot accept work after the due dates below without prior, individual discussion.<br /></strong></p>
 <p>&nbsp;</p>
 <h3 id="grading">Grading:</h3>
-<p>The course is treated as a pass/fail course. The grade reflected on your transcript may depend on the section you are
-    in. If the section you are in uses a letter grade, then a pass is assigned "A" and fail assigned "F".</p>
-<p>Grading is based on a syllabus attestation, due on the second Wednesday of classes, and on demonstrations. Three
-    demonstrations are required, and each has its own assignment within Canvas.</p>
+<p>The course is treated as a pass/fail course. The grade reflected on your transcript may depend on the section you are in. If the section you are in uses a letter grade, then a pass is assigned "A" and fail assigned "F".</p>
+<p>Grading is based on a syllabus attestation, due on the second Wednesday of classes, and on demonstrations. Three demonstrations are required, and each has its own assignment within Canvas.</p>
 <p>Due dates progress throughout the semester:</p>
 <ul>
-    <li><a title="Syllabus Affirmation" href="/courses/1620729/quizzes/2325855" data-course-type="assignments"
-            data-published="true">Syllabus Affirmation</a> is due by the 2nd Wednesday.</li>
-    <li><a title="Demonstration #1" href="/courses/1620729/assignments/7043517" data-course-type="assignments"
-            data-published="true">Demonstration #1</a> is due by the 6th Friday.</li>
-    <li><a title="Demonstration #2" href="/courses/1620729/assignments/7043519" data-course-type="assignments"
-            data-published="true">Demonstration #2</a> is due by the 10th Friday.</li>
-    <li><a title="Demonstration #3" href="/courses/1620729/assignments/7043518" data-course-type="assignments"
-            data-published="true">Demonstration #3</a> is due by the last Friday.</li>
+<li><a title="Syllabus Affirmation" href="" data-course-type="assignments" data-published="true">Syllabus Affirmation</a> is due by the 2nd Wednesday.</li>
+<li><a title="Demonstration #1" href="" data-course-type="assignments" data-published="true">Demonstration #1</a> is due by the 6th Friday.</li>
+<li><a title="Demonstration #2" href="" data-course-type="assignments" data-published="true">Demonstration #2</a> is due by the 10th Friday.</li>
+<li><a title="Demonstration #3" href="" data-course-type="assignments" data-published="true">Demonstration #3</a> is due by the last Friday.</li>
 </ul>
-<p>Because office hours are open to potentially hundreds of researchers outside the scope of this course, <strong>only
-        one session can be presented per student per office hours visit.</strong> <strong><em>Please plan
-            accordingly.</em></strong></p>
-<p>If for any reason you are not able to adhere to the above requirements, please contact us as soon as you know so we
-    can make plans to accommodate you. Remember, we want you to be successful!</p>
+<p>Because office hours are open to potentially hundreds of researchers outside the scope of this course, <strong>only one session can be presented per student per office hours visit.</strong> <strong><em>Please plan accordingly.</em></strong></p>
+<p>If for any reason you are not able to adhere to the above requirements, please contact us as soon as you know so we can make plans to accommodate you. Remember, we want you to be successful!</p>
 <p>&nbsp;</p>
 <h3 id="scheduling">Scheduling, Attendance &amp; Office Hours:</h3>
-<p>Our course may differ from the typical university course experience. We do not host regularly scheduled course
-    meetings. Instead, we offer twice-weekly office hours. The office hours serve two purposes for this course.</p>
+<p>Our course may differ from the typical university course experience. We do not host regularly scheduled course meetings. Instead, we offer twice-weekly office hours. The office hours serve two purposes for this course.</p>
 <ol style="list-style-type: decimal;">
-    <li>Each student must make three office hours visits for the three demonstrations.</li>
-    <li>Students are encouraged to attend office hours if they have questions that are best answered in a virtual
-        meeting. Past examples include:</li>
+<li>Each student must make three office hours visits for the three demonstrations.</li>
+<li>Students are encouraged to attend office hours if they have questions that are best answered in a virtual meeting. Past examples include:</li>
 </ol>
 <ul>
-    <li style="list-style-type: none;">
-        <ul style="list-style-type: disc;">
-            <li>Is my topic suitable for this course?</li>
-            <li>Where can I find more resources on topics?</li>
-            <li>Can you preview my demonstration material?</li>
-            <li>Am I on the right track?</li>
-        </ul>
-    </li>
+<li style="list-style-type: none;">
+<ul style="list-style-type: disc;">
+<li>Is my topic suitable for this course?</li>
+<li>Where can I find more resources on topics?</li>
+<li>Can you preview my demonstration material?</li>
+<li>Am I on the right track?</li>
 </ul>
-<p>Office Hours are held Mondays and Thursdays from 10 AM to noon via Zoom. Meeting links are available at our
-    documentation (<a href="https://docs.rc.uab.edu/#contact-us" target="_blank"
-        rel="noopener">https://docs.rc.uab.edu/#contact-us</a>).</p>
+</li>
+</ul>
+<p>Office Hours are held Mondays and Thursdays from 10 AM to noon via Zoom. Meeting links are available at our documentation (<a href="https://docs.rc.uab.edu/#contact-us" target="_blank" rel="noopener">https://docs.rc.uab.edu/#contact-us</a>).</p>
 <p>&nbsp;</p>
 <h3 id="resources">Course Resources:</h3>
-<p>For students who are just entering the data science space, please consider trying some of Kaggle's micro-courses on
-    data analysis, visualization and machine learning: <a class="inline_disabled" href="https://www.kaggle.com/learn"
-        target="_blank" rel="noopener">https://www.kaggle.com/learn</a>.</p>
-<p>For students who want to develop skills to facilitate data science, see the Software Carpentry's list of lessons: <a
-        class="inline_disabled" href="https://software-carpentry.org/lessons/" target="_blank"
-        rel="noopener">https://software-carpentry.org/lessons/</a>. These lessons include the Unix shell, Git version
-    control and programming skills in Python and R.</p>
-<p>For students who want to develop data literacy skills in the context of specific fields, see the Data Carpentry's
-    list of lessons: <a class="inline_disabled" href="https://datacarpentry.org/lessons/" target="_blank"
-        rel="noopener">https://datacarpentry.org/lessons/</a>. One of the included fields is genomics, which may be of
-    particular interest to many UAB students.</p>
-<p>For students interested in learning more about any of the above with a focus on scaling with high-performance
-    computing, we maintain a YouTube channel with some Data Science Club Material to get you started using Cheaha: <a
-        class="external" href="https://www.youtube.com/channel/UCZoOS2e699Ge0DND1oy1BJQ" target="_blank"
-        rel="noopener"><span>https://www.youtube.com/channel/UCZoOS2e699Ge0DND1oy1BJQ</span></a>.</p>
-<p>Here is a list of free data science resources and starting points: <a class="inline_disabled" title="Link"
-        href="https://www.datapen.io/" target="_blank" rel="noopener">https://www.datapen.io/</a>. The following link
-    narrows those resources down to just courses <a class="inline_disabled" title="Link"
-        href="https://www.datapen.io/resources/free-course-resources" target="_blank"
-        rel="noopener">https://www.datapen.io/resources/free-course-resources</a>.</p>
-<p>Feel free to seek out and use other sources! If you do so, please inform us of those sources so we can curate our
-    list and better serve future students.</p>
+<p>For students who are just entering the data science space, please consider trying some of Kaggle's micro-courses on data analysis, visualization and machine learning: <a class="inline_disabled" href="https://www.kaggle.com/learn" target="_blank" rel="noopener">https://www.kaggle.com/learn</a>.</p>
+<p>For students who want to develop skills to facilitate data science, see the Software Carpentry's list of lessons: <a class="inline_disabled" href="https://software-carpentry.org/lessons/" target="_blank" rel="noopener">https://software-carpentry.org/lessons/</a>. These lessons include the Unix shell, Git version control and programming skills in Python and R.</p>
+<p>For students who want to develop data literacy skills in the context of specific fields, see the Data Carpentry's list of lessons: <a class="inline_disabled" href="https://datacarpentry.org/lessons/" target="_blank" rel="noopener">https://datacarpentry.org/lessons/</a>. One of the included fields is genomics, which may be of particular interest to many UAB students.</p>
+<p>For students interested in learning more about any of the above with a focus on scaling with high-performance computing, we maintain a YouTube channel with some Data Science Club Material to get you started using Cheaha: <a class="external" href="https://www.youtube.com/channel/UCZoOS2e699Ge0DND1oy1BJQ" target="_blank" rel="noopener"><span>https://www.youtube.com/channel/UCZoOS2e699Ge0DND1oy1BJQ</span></a>.</p>
+<p>Here is a list of free data science resources and starting points: <a class="inline_disabled" title="Link" href="https://www.datapen.io/" target="_blank" rel="noopener">https://www.datapen.io/</a>. The following link narrows those resources down to just courses <a class="inline_disabled" title="Link" href="https://www.datapen.io/resources/free-course-resources" target="_blank" rel="noopener">https://www.datapen.io/resources/free-course-resources</a>.</p>
+<p>Feel free to seek out and use other sources! If you do so, please inform us of those sources so we can curate our list and better serve future students.</p>
 <p>&nbsp;</p>
 <h3>Frequently Asked Questions:</h3>
 <h4>I'm completely new to data science, what are some good starting points?</h4>
 <ul>
-    <li>To get started with general data science tools and techniques, try Kaggle Learn: <a
-            href="https://www.kaggle.com/learn" target="_blank" rel="noopener">https://www.kaggle.com/learn</a></li>
-    <li>Check out the Data Carpentries Lessons: <a href="https://datacarpentry.org/lessons/" target="_blank"
-            rel="noopener">https://datacarpentry.org/lessons/</a></li>
-    <li>For starting bioinformatics, also try Rosalind.info: <a href="https://rosalind.info/problems/locations/"
-            target="_blank" rel="noopener">https://rosalind.info/problems/locations/</a></li>
+<li>To get started with general data science tools and techniques, try Kaggle Learn: <a href="https://www.kaggle.com/learn" target="_blank" rel="noopener">https://www.kaggle.com/learn</a></li>
+<li>Check out the Data Carpentries Lessons: <a href="https://datacarpentry.org/lessons/" target="_blank" rel="noopener">https://datacarpentry.org/lessons/</a></li>
+<li>For starting bioinformatics, also try Rosalind.info: <a href="https://rosalind.info/problems/locations/" target="_blank" rel="noopener">https://rosalind.info/problems/locations/</a></li>
 </ul>
 <h4>What tools are available to make it easier to manage my projects?</h4>
 <ul>
-    <li>We suggest using Git! Learn more at: <a href="https://swcarpentry.github.io/git-novice/" target="_blank"
-            rel="noopener">https://swcarpentry.github.io/git-novice/</a></li>
+<li>We suggest using Git! Learn more at: <a href="https://swcarpentry.github.io/git-novice/" target="_blank" rel="noopener">https://swcarpentry.github.io/git-novice/</a></li>
 </ul>
 <h4>Am I allowed to use my own research projects for this course?</h4>
 <ul>
-    <li>Yes, and we encourage applying new tools and techniques! Be mindful that we can't accept any work for research
-        protected by IRB or using PHI/HIPAA data. Be sure to get your supervisor's approval first.</li>
+<li>Yes, and we encourage applying new tools and techniques! Be mindful that we can't accept any work for research protected by IRB or using PHI/HIPAA data. Be sure to get your supervisor's approval first.</li>
 </ul>
 <h3 id="support">Technical Support:</h3>
-<p>Research Computing Official Site: <a class="external" href="https://www.uab.edu/it/home/research-computing"
-        target="_blank" rel="noopener">https://www.uab.edu/it/home/research-computing</a>.</p>
-<p>Cheaha Documentation: <a class="external" href="https://docs.rc.uab.edu" target="_blank"
-        rel="noopener">https://docs.rc.uab.edu</a>.</p>
-<p>Cheaha Web Portal: <a class="external" href="https://rc.uab.edu" target="_blank"
-        rel="noopener">https://rc.uab.edu</a>.</p>
-<p>If you need software installed, or something just doesn't work like you expect, please email us at <a
-        href="mailto:support@listserv.uab.edu" target="_blank" rel="noopener">support@listserv.uab.edu</a>. When asking
-    for help, consider including all relevant details about your goal, what you tried, what you expected to happen, what
-    actually happened, steps needed to reproduce the issue, and any error messages. If the error messages are longer
-    than about 10 lines, copy-paste them into a text document and attach that to the email instead. Screenshots are also
-    helpful. See our documentation on support (<a href="https://docs.rc.uab.edu/help/support" target="_blank"
-        rel="noopener">https://docs.rc.uab.edu/help/support</a>) for more information.</p>
+<p>Cheaha Documentation: <a class="external" href="https://docs.rc.uab.edu" target="_blank" rel="noopener">https://docs.rc.uab.edu</a>.</p>
+<p>Cheaha Web Portal: <a class="external" href="https://rc.uab.edu" target="_blank" rel="noopener">https://rc.uab.edu</a>.</p>
+<p>If you need software installed, or something just doesn't work like you expect, please email us at <a href="mailto:support@listserv.uab.edu" target="_blank" rel="noopener">support@listserv.uab.edu</a>. When asking for help, consider including all relevant details about your goal, what you tried, what you expected to happen, what actually happened, steps needed to reproduce the issue, and any error messages. If the error messages are longer than about 10 lines, copy-paste them into a text document and attach that to the email instead. Screenshots are also helpful. See our documentation on support (<a href="https://docs.rc.uab.edu/help/support" target="_blank" rel="noopener">https://docs.rc.uab.edu/help/support</a>) for more information.</p>
 <p>&nbsp;</p>
 <h3>Title IX Statement:</h3>
-<p>In accordance with Title IX, the University of Alabama at Birmingham does not discriminate on the basis of gender in
-    any of its programs or services. The University is committed to providing an environment free from discrimination
-    based on gender and expects individuals who live, work, teach, and study within this community to contribute
-    positively to the environment and to refrain from behaviors that threaten the freedom or respect that every member
-    of our community deserves. For more information about Title IX, policy, reporting, protections, resources and
-    supports, please visit the <a class="inline_disabled" href="http://www.uab.edu/titleix" target="_blank"
-        rel="noopener">UAB Title IX webpage</a> for UAB&rsquo;s Title IX Sex Discrimination, Sexual Harassment, and
-    Sexual Violence Policy; UAB&rsquo;s Equal Opportunity and Discriminatory Harassment Policy; and the Duty to Report
-    and Non-Retaliation Policy.</p>
+<p>In accordance with Title IX, the University of Alabama at Birmingham does not discriminate on the basis of gender in any of its programs or services. The University is committed to providing an environment free from discrimination based on gender and expects individuals who live, work, teach, and study within this community to contribute positively to the environment and to refrain from behaviors that threaten the freedom or respect that every member of our community deserves. For more information about Title IX, policy, reporting, protections, resources and supports, please visit the <a class="inline_disabled" href="http://www.uab.edu/titleix" target="_blank" rel="noopener">UAB Title IX webpage</a> for UAB&rsquo;s Title IX Sex Discrimination, Sexual Harassment, and Sexual Violence Policy; UAB&rsquo;s Equal Opportunity and Discriminatory Harassment Policy; and the Duty to Report and Non-Retaliation Policy.</p>
 <p>&nbsp;</p>
 <h3 id="dss">Disability Support Services (DSS) Statement<strong>:<br /></strong></h3>
-<p>UAB is committed to providing an accessible learning experience for all students. If you are a student with a
-    disability that qualifies under the Americans with Disabilities Act (ADA) and/or Section 504 of the Rehabilitation
-    Act, and you require accommodations, please contact Disability Support Services for information on accommodations,
-    registration, and procedures. Requests for reasonable accommodations involve an interactive process and consist of a
-    collaborative effort among the student, DSS, faculty and staff. If you are registered with Disability Support
-    Services, please contact me to discuss accommodations that may be necessary in this course. If you have a disability
-    but have not contacted Disability Support Services, please call (205) 934-4205 or visit the <a
-        class="inline_disabled" href="http://www.uab.edu/dss" target="_blank" rel="noopener">DSS website</a>.</p>
\ No newline at end of file
+<p>UAB is committed to providing an accessible learning experience for all students. If you are a student with a disability that qualifies under the Americans with Disabilities Act (ADA) and/or Section 504 of the Rehabilitation Act, and you require accommodations, please contact Disability Support Services for information on accommodations, registration, and procedures. Requests for reasonable accommodations involve an interactive process and consist of a collaborative effort among the student, DSS, faculty and staff. If you are registered with Disability Support Services, please contact me to discuss accommodations that may be necessary in this course. If you have a disability but have not contacted Disability Support Services, please call (205) 934-4205 or visit the <a class="inline_disabled" href="http://www.uab.edu/dss" target="_blank" rel="noopener">DSS website</a>.</p>
\ No newline at end of file
diff --git a/welcome_announcement.html b/welcome_announcement.html
index 25a2eeb1ad4b36b4810304d7fb621ead0105a65c..594fb0d1df507c8b6bdc70205961eb8282b11ec8 100644
--- a/welcome_announcement.html
+++ b/welcome_announcement.html
@@ -1,10 +1,4 @@
 <p>Hello everyone and welcome to Data Science Journal Club (DSJC)!</p>
-<p>Please take a few minutes to read over the <a title="Syllabus" href="" data-course-type="navigation">syllabus</a> as
-    it is the central repository for information about this course.
-    There is a required, single-question, <a title="Syllabus Affirmation" href="" data-course-type="assignments"
-        data-published="true">Syllabus Affirmation</a> quiz due the Wednesday of next week.</p>
-<p>If you are new to the course, welcome! We hope you have an enlightening experience. We are happy to answer questions
-    and provide guidance, please feel free to reach out with questions, and please read the syllabus for more detailed
-    information about expectations.</p>
-<p>If you are returning, welcome back! The syllabus may have information that is new and useful to you, we recommend
-    reviewing it.</p>
\ No newline at end of file
+<p>Please take a few minutes to read over the <a title="Syllabus" href="" data-course-type="navigation">syllabus</a> as it is the central repository for information about this course. There is a required, single-question, <a title="Syllabus Affirmation" href="" data-course-type="assignments" data-published="true">Syllabus Affirmation</a> quiz due the Wednesday of next week.</p>
+<p>If you are new to the course, welcome! We hope you have an enlightening experience. We are happy to answer questions and provide guidance, please feel free to reach out with questions, and please read the syllabus for more detailed information about expectations.</p>
+<p>If you are returning, welcome back! The syllabus may have information that is new and useful to you, we recommend reviewing it.</p>
\ No newline at end of file