From 57acc3c74c0c0e43dbe069e7601ecf9468d5b52b Mon Sep 17 00:00:00 2001
From: Quarto GHA Workflow Runner <quarto-github-actions-publish@example.com>
Date: Mon, 25 Mar 2024 19:08:56 +0000
Subject: [PATCH] Built site for gh-pages

---
 .nojekyll                                     |  2 +-
 about.html                                    |  8 +-
 blog/index.html                               | 18 ++--
 da-faq.html                                   |  9 ++
 .../index.html                                |  2 +-
 .../index.html                                |  2 +-
 .../index.html                                |  2 +-
 research/2019-research-policy/index.html      |  2 +-
 research/2019-science/index.html              |  2 +-
 .../index.html                                |  2 +-
 research/2020-marketing-letters/index.html    |  2 +-
 research/2021-systems-engineering/index.html  |  2 +-
 .../index.html                                |  2 +-
 research/2022-nature/index.html               |  2 +-
 .../index.html                                |  2 +-
 research/2023-systems-engineering/index.html  |  2 +-
 .../index.html                                |  2 +-
 research/index.html                           | 28 +++----
 search.json                                   |  2 +-
 sitemap.xml                                   | 84 +++++++++----------
 talks/index.html                              | 14 ++--
 21 files changed, 100 insertions(+), 91 deletions(-)

diff --git a/.nojekyll b/.nojekyll
index 12ae2f61..07677df1 100644
--- a/.nojekyll
+++ b/.nojekyll
@@ -1 +1 @@
-c7db1b4e
\ No newline at end of file
+306912f0
\ No newline at end of file
diff --git a/about.html b/about.html
index a187e1e4..af05d8b0 100644
--- a/about.html
+++ b/about.html
@@ -277,7 +277,7 @@ <h1><i class="fab fa-r-project"></i></h1>
 <h1>China &amp; 中文</h1>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="images/john_china_duck.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-1" data-gallery="quarto-lightbox-gallery-1" title="John standing next to a Beijing roast duck mascot in Beijing in 2014"><img src="images/john_china_duck.jpg" class="external img-fluid figure-img" style="width:80.0%" alt="John standing next to a Beijing roast duck mascot in Beijing in 2014"></a></p>
+<p><a href="images/john_china_duck.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-1" data-glightbox="description: .lightbox-desc-1" title="John standing next to a Beijing roast duck mascot in Beijing in 2014"><img src="images/john_china_duck.jpg" class="external img-fluid figure-img" style="width:80.0%" alt="John standing next to a Beijing roast duck mascot in Beijing in 2014"></a></p>
 <figcaption>John standing next to a Beijing roast duck mascot in Beijing in 2014</figcaption>
 </figure>
 </div>
@@ -287,7 +287,7 @@ <h1>China &amp; 中文</h1>
 <h1>Swing Dancing</h1>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="images/john_dancing.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-2" data-gallery="quarto-lightbox-gallery-2" title="John swing dancing in Beijing in 2016"><img src="images/john_dancing.jpg" class="external img-fluid figure-img" style="width:80.0%" alt="John swing dancing in Beijing in 2016"></a></p>
+<p><a href="images/john_dancing.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-2" data-glightbox="description: .lightbox-desc-2" title="John swing dancing in Beijing in 2016"><img src="images/john_dancing.jpg" class="external img-fluid figure-img" style="width:80.0%" alt="John swing dancing in Beijing in 2016"></a></p>
 <figcaption>John swing dancing in Beijing in 2016</figcaption>
 </figure>
 </div>
@@ -297,7 +297,7 @@ <h1>Swing Dancing</h1>
 <h1>Music</h1>
 <div class="quarto-figure quarto-figure-center">
 <figure class="figure">
-<p><a href="images/john_violin.jpg" class="lightbox" data-glightbox="description: .lightbox-desc-3" data-gallery="quarto-lightbox-gallery-3" title="John with his partner and violin after a concert at CMU in 2016"><img src="images/john_violin.jpg" class="external img-fluid figure-img" style="width:60.0%" alt="John with his partner and violin after a concert at CMU in 2016"></a></p>
+<p><a href="images/john_violin.jpg" class="lightbox" data-gallery="quarto-lightbox-gallery-3" data-glightbox="description: .lightbox-desc-3" title="John with his partner and violin after a concert at CMU in 2016"><img src="images/john_violin.jpg" class="external img-fluid figure-img" style="width:60.0%" alt="John with his partner and violin after a concert at CMU in 2016"></a></p>
 <figcaption>John with his partner and violin after a concert at CMU in 2016</figcaption>
 </figure>
 </div>
@@ -747,7 +747,7 @@ <h1>Music</h1>
     </div>
   </div>
 </footer>
-<script>var lightboxQuarto = GLightbox({"openEffect":"zoom","closeEffect":"zoom","selector":".lightbox","descPosition":"bottom","loop":false});
+<script>var lightboxQuarto = GLightbox({"closeEffect":"zoom","selector":".lightbox","loop":false,"descPosition":"bottom","openEffect":"zoom"});
 window.onload = () => {
   lightboxQuarto.on('slide_before_load', (data) => {
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diff --git a/blog/index.html b/blog/index.html
index cd9ae11f..015050ae 100644
--- a/blog/index.html
+++ b/blog/index.html
@@ -305,7 +305,7 @@ <h1 class="title">Blog</h1>
     </div>
 </div>
 <div class="list quarto-listing-default">
-<div class="quarto-post image-right" data-index="0" data-categories="R,markdown,productivity,package" data-listing-date-sort="1680739200000" data-listing-file-modified-sort="1711343676190" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="13" data-listing-word-count-sort="2565">
+<div class="quarto-post image-right" data-index="0" data-categories="R,markdown,productivity,package" data-listing-date-sort="1680739200000" data-listing-file-modified-sort="1711393584179" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="13" data-listing-word-count-sort="2565">
 <div class="thumbnail">
 <p><a href="../blog/2023-04-06-markdown-surveys/index.html" class="no-external"></a></p><a href="../blog/2023-04-06-markdown-surveys/index.html" class="no-external">
 <p class="card-img-top"><img src="2023-04-06-markdown-surveys/logo.png"  class="thumbnail-image card-img"/></p>
@@ -333,7 +333,7 @@ <h3 class="no-anchor listing-title">
 </a>
 </div>
 </div>
-<div class="quarto-post image-right" data-index="1" data-categories="quarto,productivity,R" data-listing-date-sort="1677542400000" data-listing-file-modified-sort="1711343676189" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="10" data-listing-word-count-sort="1891">
+<div class="quarto-post image-right" data-index="1" data-categories="quarto,productivity,R" data-listing-date-sort="1677542400000" data-listing-file-modified-sort="1711393584179" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="10" data-listing-word-count-sort="1891">
 <div class="thumbnail">
 <p><a href="../blog/2023-02-28-parameterized-pdfs-with-quarto/index.html" class="no-external"></a></p><a href="../blog/2023-02-28-parameterized-pdfs-with-quarto/index.html" class="no-external">
 <p class="card-img-top"><img src="2023-02-28-parameterized-pdfs-with-quarto/quarto.png"  class="thumbnail-image card-img"/></p>
@@ -361,7 +361,7 @@ <h3 class="no-anchor listing-title">
 </a>
 </div>
 </div>
-<div class="quarto-post image-right" data-index="2" data-categories="software" data-listing-date-sort="1672012800000" data-listing-file-modified-sort="1711343676188" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="9" data-listing-word-count-sort="1685">
+<div class="quarto-post image-right" data-index="2" data-categories="software" data-listing-date-sort="1672012800000" data-listing-file-modified-sort="1711393584178" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="9" data-listing-word-count-sort="1685">
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 <p><a href="../blog/2022-12-26-why-chess-is-better-than-golf/index.html" class="no-external"></a></p><a href="../blog/2022-12-26-why-chess-is-better-than-golf/index.html" class="no-external">
 <p class="card-img-top"><img src="2022-12-26-why-chess-is-better-than-golf/chess-golf.png"  class="thumbnail-image card-img"/></p>
@@ -389,7 +389,7 @@ <h3 class="no-anchor listing-title">
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 </div>
 </div>
-<div class="quarto-post image-right" data-index="3" data-categories="R,package,software" data-listing-date-sort="1656374400000" data-listing-file-modified-sort="1711343676187" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="11" data-listing-word-count-sort="2110">
+<div class="quarto-post image-right" data-index="3" data-categories="R,package,software" data-listing-date-sort="1656374400000" data-listing-file-modified-sort="1711393584177" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="11" data-listing-word-count-sort="2110">
 <div class="thumbnail">
 <p><a href="../blog/2022-06-28-introducing-renderthis/index.html" class="no-external"></a></p><a href="../blog/2022-06-28-introducing-renderthis/index.html" class="no-external">
 <p class="card-img-top"><img src="2022-06-28-introducing-renderthis/index_files/figure-html/unnamed-chunk-1-1.png"  class="thumbnail-image card-img"/></p>
@@ -417,7 +417,7 @@ <h3 class="no-anchor listing-title">
 </a>
 </div>
 </div>
-<div class="quarto-post image-right" data-index="4" data-categories="R,monte carlo" data-listing-date-sort="1634601600000" data-listing-file-modified-sort="1711343676173" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="17" data-listing-word-count-sort="3238">
+<div class="quarto-post image-right" data-index="4" data-categories="R,monte carlo" data-listing-date-sort="1634601600000" data-listing-file-modified-sort="1711393584165" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="17" data-listing-word-count-sort="3238">
 <div class="thumbnail">
 <p><a href="../blog/2021-10-19-monte-carlo-bridge-game/index.html" class="no-external"></a></p><a href="../blog/2021-10-19-monte-carlo-bridge-game/index.html" class="no-external">
 <p class="card-img-top"><img src="2021-10-19-monte-carlo-bridge-game/squid-game.png"  class="thumbnail-image card-img"/></p>
@@ -445,7 +445,7 @@ <h3 class="no-anchor listing-title">
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 </div>
 </div>
-<div class="quarto-post image-right" data-index="5" data-categories="R,tutorial,conjoint" data-listing-date-sort="1631923200000" data-listing-file-modified-sort="1711343676167" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="11" data-listing-word-count-sort="2170">
+<div class="quarto-post image-right" data-index="5" data-categories="R,tutorial,conjoint" data-listing-date-sort="1631923200000" data-listing-file-modified-sort="1711393584159" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="11" data-listing-word-count-sort="2170">
 <div class="thumbnail">
 <p><a href="../blog/2021-09-18-choice-based-conjoint-surveys-in-r-with-formr/index.html" class="no-external"></a></p><a href="../blog/2021-09-18-choice-based-conjoint-surveys-in-r-with-formr/index.html" class="no-external">
 <p class="card-img-top"><img src="2021-09-18-choice-based-conjoint-surveys-in-r-with-formr/images/example.png"  class="thumbnail-image card-img"/></p>
@@ -473,7 +473,7 @@ <h3 class="no-anchor listing-title">
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 </div>
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-<div class="quarto-post image-right" data-index="6" data-categories="productivity,keyboards,R" data-listing-date-sort="1625270400000" data-listing-file-modified-sort="1711343676164" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="19" data-listing-word-count-sort="3706">
+<div class="quarto-post image-right" data-index="6" data-categories="productivity,keyboards,R" data-listing-date-sort="1625270400000" data-listing-file-modified-sort="1711393584157" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="19" data-listing-word-count-sort="3706">
 <div class="thumbnail">
 <p><a href="../blog/2021-07-03-in-search-of-keyboard-nirvana/index.html" class="no-external"></a></p><a href="../blog/2021-07-03-in-search-of-keyboard-nirvana/index.html" class="no-external">
 <p class="card-img-top"><img src="2021-07-03-in-search-of-keyboard-nirvana/images/red_pill.gif"  class="thumbnail-image card-img"/></p>
@@ -501,7 +501,7 @@ <h3 class="no-anchor listing-title">
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-<div class="quarto-post image-right" data-index="7" data-categories="productivity,R" data-listing-date-sort="1620086400000" data-listing-file-modified-sort="1711343675982" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="17" data-listing-word-count-sort="3231">
+<div class="quarto-post image-right" data-index="7" data-categories="productivity,R" data-listing-date-sort="1620086400000" data-listing-file-modified-sort="1711393584002" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="17" data-listing-word-count-sort="3231">
 <div class="thumbnail">
 <p><a href="../blog/2021-05-04-expand-your-productivity-with-espanso/index.html" class="no-external"></a></p><a href="../blog/2021-05-04-expand-your-productivity-with-espanso/index.html" class="no-external">
 <p class="card-img-top"><img src="2021-05-04-expand-your-productivity-with-espanso/images/espanso.svg"  class="thumbnail-image card-img"/></p>
@@ -529,7 +529,7 @@ <h3 class="no-anchor listing-title">
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+<div class="quarto-post image-right" data-index="8" data-categories="tutorial,distill,R" data-listing-date-sort="1616630400000" data-listing-file-modified-sort="1711393583883" data-listing-date-modified-sort="NaN" data-listing-reading-time-sort="13" data-listing-word-count-sort="2528">
 <div class="thumbnail">
 <p><a href="../blog/2021-03-25-customizing-distill-with-htmltools-and-css/index.html" class="no-external"></a></p><a href="../blog/2021-03-25-customizing-distill-with-htmltools-and-css/index.html" class="no-external">
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diff --git a/da-faq.html b/da-faq.html
index aab5d03e..2f8aa136 100644
--- a/da-faq.html
+++ b/da-faq.html
@@ -221,6 +221,7 @@ <h2 id="toc-title">On this page</h2>
   <li><a href="#what-is-the-recommended-sequence-for-part-time-students-taking-6-credits-a-semester" id="toc-what-is-the-recommended-sequence-for-part-time-students-taking-6-credits-a-semester" class="nav-link" data-scroll-target="#what-is-the-recommended-sequence-for-part-time-students-taking-6-credits-a-semester">What is the recommended sequence for part-time students taking 6 credits a semester?</a></li>
   <li><a href="#can-you-help-me-understand-the-overall-degree-requirements" id="toc-can-you-help-me-understand-the-overall-degree-requirements" class="nav-link" data-scroll-target="#can-you-help-me-understand-the-overall-degree-requirements">Can you help me understand the overall degree requirements?</a></li>
   <li><a href="#do-i-need-to-take-csci-6362-probability-for-computer-science-as-a-prerequisite-for-csci-6364-machine-learning" id="toc-do-i-need-to-take-csci-6362-probability-for-computer-science-as-a-prerequisite-for-csci-6364-machine-learning" class="nav-link" data-scroll-target="#do-i-need-to-take-csci-6362-probability-for-computer-science-as-a-prerequisite-for-csci-6364-machine-learning">Do I need to take CSCI 6362 Probability for Computer Science as a Prerequisite for CSCI 6364 Machine Learning?</a></li>
+  <li><a href="#can-you-help-me-choose-electives" id="toc-can-you-help-me-choose-electives" class="nav-link" data-scroll-target="#can-you-help-me-choose-electives">Can you help me choose electives?</a></li>
   <li><a href="#how-many-courses-do-i-need-in-my-focus-area-cs-or-emse" id="toc-how-many-courses-do-i-need-in-my-focus-area-cs-or-emse" class="nav-link" data-scroll-target="#how-many-courses-do-i-need-in-my-focus-area-cs-or-emse">How many courses do I need in my focus area (CS or EMSE)?</a></li>
   <li><a href="#can-i-take-course-x-which-is-not-listed-in-the-degree-requirements" id="toc-can-i-take-course-x-which-is-not-listed-in-the-degree-requirements" class="nav-link" data-scroll-target="#can-i-take-course-x-which-is-not-listed-in-the-degree-requirements">Can I take course X which is not listed in the degree requirements?</a></li>
   <li><a href="#can-the-seas-6402-da-capstone-course-only-be-taken-in-spring-semesters" id="toc-can-the-seas-6402-da-capstone-course-only-be-taken-in-spring-semesters" class="nav-link" data-scroll-target="#can-the-seas-6402-da-capstone-course-only-be-taken-in-spring-semesters">Can the SEAS 6402 DA Capstone course only be taken in Spring semesters?</a></li>
@@ -348,6 +349,14 @@ <h3 class="anchored" data-anchor-id="can-you-help-me-understand-the-overall-degr
 <h3 class="anchored" data-anchor-id="do-i-need-to-take-csci-6362-probability-for-computer-science-as-a-prerequisite-for-csci-6364-machine-learning">Do I need to take CSCI 6362 Probability for Computer Science as a Prerequisite for CSCI 6364 Machine Learning?</h3>
 <p>No.&nbsp;This is not required as long as you have a statistics/probability course at the undergraduate level. Taking <strong>EMSE 6765 Data Analysis for Engineers and Scientists will also meet this need.</strong></p>
 </section>
+<section id="can-you-help-me-choose-electives" class="level3">
+<h3 class="anchored" data-anchor-id="can-you-help-me-choose-electives">Can you help me choose electives?</h3>
+<p>In general, any 6000 level course should generally be able to be counted for one of your two unrestricted electives. To find courses you may be interested in, check these resources:</p>
+<ul>
+<li>View the <a href="https://my.gwu.edu/mod/pws/index.cfm">schedule of classes</a> to see what will actually be offered in the semester you are interested in. Not all courses are offered every semester, and this is the best way to know what will actually be offered.</li>
+<li>View <a href="https://docs.google.com/spreadsheets/d/1PA4o0bH3TPpPpGG5OHWRKvkUoDgmQ1gmBw3dlJPDjh0/edit?usp=sharing">this Google sheet</a> of common electives. While this list is not a comprehensive list of all electives, it does represent courses that DA students have taken in the past. It is a good list to start with when searching for electives, and it is continuously updated.</li>
+</ul>
+</section>
 <section id="how-many-courses-do-i-need-in-my-focus-area-cs-or-emse" class="level3">
 <h3 class="anchored" data-anchor-id="how-many-courses-do-i-need-in-my-focus-area-cs-or-emse">How many courses do I need in my focus area (CS or EMSE)?</h3>
 <p>You must take at least <strong>3</strong> courses in the track you have selected – two are required and the third is any of your choice from that department.</p>
diff --git a/research/2015-transportation-research-part-a-policy-and-practice/index.html b/research/2015-transportation-research-part-a-policy-and-practice/index.html
index 0a648ecc..da478949 100644
--- a/research/2015-transportation-research-part-a-policy-and-practice/index.html
+++ b/research/2015-transportation-research-part-a-policy-and-practice/index.html
@@ -720,7 +720,7 @@ <h1>Will subsidies drive electric vehicle adoption? Measuring consumer preferenc
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   </div>
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-<script>var lightboxQuarto = GLightbox({"openEffect":"zoom","descPosition":"bottom","closeEffect":"zoom","selector":".lightbox","loop":false});
+<script>var lightboxQuarto = GLightbox({"selector":".lightbox","closeEffect":"zoom","loop":false,"openEffect":"zoom","descPosition":"bottom"});
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diff --git a/research/2018-transportation-research-part-b-methodological/index.html b/research/2018-transportation-research-part-b-methodological/index.html
index 9096a0fb..d5b2b4c5 100644
--- a/research/2018-transportation-research-part-b-methodological/index.html
+++ b/research/2018-transportation-research-part-b-methodological/index.html
@@ -720,7 +720,7 @@ <h1>Pooling Stated and Revealed Preference Data in the Presence of Endogeneity</
     </div>
   </div>
 </footer>
-<script>var lightboxQuarto = GLightbox({"descPosition":"bottom","closeEffect":"zoom","loop":false,"selector":".lightbox","openEffect":"zoom"});
+<script>var lightboxQuarto = GLightbox({"selector":".lightbox","loop":false,"openEffect":"zoom","descPosition":"bottom","closeEffect":"zoom"});
 window.onload = () => {
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diff --git a/research/2019-environmental-research-letters/index.html b/research/2019-environmental-research-letters/index.html
index 852d2075..57dda6de 100644
--- a/research/2019-environmental-research-letters/index.html
+++ b/research/2019-environmental-research-letters/index.html
@@ -721,7 +721,7 @@ <h1>Choice at the Pump: Measuring Preferences for Lower-Carbon Combustion Fuels<
     </div>
   </div>
 </footer>
-<script>var lightboxQuarto = GLightbox({"selector":".lightbox","closeEffect":"zoom","loop":false,"descPosition":"bottom","openEffect":"zoom"});
+<script>var lightboxQuarto = GLightbox({"selector":".lightbox","descPosition":"bottom","loop":false,"closeEffect":"zoom","openEffect":"zoom"});
 window.onload = () => {
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diff --git a/research/2019-research-policy/index.html b/research/2019-research-policy/index.html
index e953d2d4..d9bba9d8 100644
--- a/research/2019-research-policy/index.html
+++ b/research/2019-research-policy/index.html
@@ -721,7 +721,7 @@ <h1>Institutional Complementarities: The Origins of Experimentation in China’s
     </div>
   </div>
 </footer>
-<script>var lightboxQuarto = GLightbox({"closeEffect":"zoom","openEffect":"zoom","descPosition":"bottom","selector":".lightbox","loop":false});
+<script>var lightboxQuarto = GLightbox({"closeEffect":"zoom","descPosition":"bottom","openEffect":"zoom","selector":".lightbox","loop":false});
 window.onload = () => {
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diff --git a/research/2019-science/index.html b/research/2019-science/index.html
index c91a1b64..6872e3fd 100644
--- a/research/2019-science/index.html
+++ b/research/2019-science/index.html
@@ -721,7 +721,7 @@ <h1>China’s key role in scaling low-carbon energy technologies</h1>
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diff --git a/search.json b/search.json
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@@ -11,7 +11,7 @@
     "href": "da-faq.html#frequently-asked-questions",
     "title": "Data Analytics MS FAQ",
     "section": "Frequently Asked Questions",
-    "text": "Frequently Asked Questions\n\nWhat is the recommended sequence for full-time students?\n\nSemester 1:\n\nCSCI 6444 Introduction to Big Data and Analytics\nEMSE 6765 Data Analysis for Engineers and Scientists\nEMSE 6574 Programming for Analytics\n\nSemester 2:\n\nEMSE 6586 Data Management Systems for Data Analytics\nFirst Required Track Course\n\nCS Track: CSCI 6212 Design and Analysis of Algorithms\nEMSE Track: EMSE 6575 Applied Machine Learning for Analytics\nElective\n\n\nSemester 3:\n\nSecond Required Track Course\n\nCS Track: CSCI 6364 Machine Learning\nEMSE Track: EMSE 6577 Data-Driven Policy\n\nElective\nElective\n\nSemester 4:\n\nSEAS 6402 Data Analytics Capstone\n\n\nThis leaves your final semester light on course work, which many students find helpful as they apply for jobs and can focus their time on interview preparation.\nNOTE: The above schedule is optimized for students starting in a fall semester. If you begin in spring, EMSE 6574 is usually not offered. If you are in the CS track, we recommend taking CSCI 6212 instead, or if you are in the EMSE track you can pick an EMSE course without prerequisites to take as an elective.\n\n\nWhat is the recommended sequence for part-time students taking 6 credits a semester?\n\nSemester 1:\n\nCSCI 6444 Introduction to Big Data and Analytics\nEMSE 6574 Programming for Analytics\n\nSemester 2:\n\nEMSE 6765 Data Analysis for Engineers and Scientists\nEMSE 6586 Data Management Systems for Data Analytics\n\nSemester 3:\n\nFirst Required Track Course (CSCI 6212 or EMSE 6575)\nElective\n\nSemester 4:\n\nSecond Required Track Course (CSCI 6364 or EMSE 6577)\nElective\n\nSemester 5:\n\nElective\nSEAS 6402 Data Analytics Capstone\n\n\n\n\nCan you help me understand the overall degree requirements?\nThe full requirements in the Bulletin are:\n\nComplete the five Required Courses\nComplete two Required Track courses for your focus area (CSCI 6212 and CSCI 6364 or EMSE 6575 and EMSE 6577)\nComplete one more Elective course in your track’s department at the 6000+ level\nComplete two additional electives. These can be 6000+ courses from any department, but if they are outside of CS or EMSE, then you need to get approval from your advisor first.\n\n\n\nDo I need to take CSCI 6362 Probability for Computer Science as a Prerequisite for CSCI 6364 Machine Learning?\nNo. This is not required as long as you have a statistics/probability course at the undergraduate level. Taking EMSE 6765 Data Analysis for Engineers and Scientists will also meet this need.\n\n\nHow many courses do I need in my focus area (CS or EMSE)?\nYou must take at least 3 courses in the track you have selected – two are required and the third is any of your choice from that department.\n\n\nCan I take course X which is not listed in the degree requirements?\nIf it is a 6000 level course, then generally yes it can be one of your two unrestricted electives. You should contact your advisor for approval first.\nYes, but you will need to fill out the CS Department’s Registration help form. Contact your advisor or cs@gwu.edu for more information.\n\n\nCan the SEAS 6402 DA Capstone course only be taken in Spring semesters?\nThe course is typically only offered in the spring, though some years we also offer a smaller fall section. You should not take 6402 until you have completed the other four required courses. If you start the program in Spring, then we recommend taking it in your 3rd semester (i.e., your second spring, a semester before graduation). If you are not able to take the course at the normal time, you should consult with your advisor before your last semester about completing the capstone as an independent project.\n\n\nI want to register for a 6000 level course, but I’m restricted, how do I register?\nSome courses have restrictions on who can register for a variety of reasons. Often times the restriction is due to missing prerequisite courses or the course is only offered to majors in that field (e.g. most courses in DATS are restricted to DATS majors). In these cases, you typically need to fill out an RTF form. Here are some details:\n\nFor EMSE courses: Fill out an RTF and send it to Professor Helveston for approval.\nFor CSCI courses: Go to the CS Department’s Registration help form and fill out the request form. Dr. Tim Wood will take care of processing the request.\nFor any other course: Fill out an RTF and send it to the course instructor for approval. In these cases (especially if it’s a course outside of SEAS), also include a message as to why you want to enroll in the course.\n\nIn general, if there are prerequisite issues preventing you from registering, also explain in your email why you should be exempt from the prerequisite (e.g. you have prior experience or have taken a similar course, etc.).\n\n\nI’m interested in becoming a Teaching Assistant or Research Assistant, how can I apply for one of these positions?\nGTA (teaching assistantship) positions are limited and typically offered to students later in the program (e.g. year 2) to GTA for a course they’ve already taken in their first year. There are not many of these available, and many are prioritized for PhD students over MS students since PhDs have longer tenures in SEAS (4-5 years) and because many will be in academic settings in their careers and therefore need more teaching experience. The best advice for these positions is to do an excellent job in the classroom and discuss with each faculty member you take a course with that has a GTA to see if you could take on a GTA position in the future. Directly expressing your interest to the faculty is the best thing you can do.\nGRA (research assistantship) positions are typically arranged on a faculty-by-faculty basis and usually supported by external research funding. The best way to find opportunities is to reach out to individual faculty and ask if there are potential GRA positions in their lab. It is also best to read up on the faculty member you are reaching out to to make sure their lab focuses on a topic that you are interested in and have something to offer. This isn’t limited to SEAS - you could be a GRA for a professor in a different school, and it is not strange for a DA student to use their skills in other domains, such as public health, the Elliott School, etc. Again, directly reaching out to faculty members is the best advise for obtaining one of these positions.\n\n\nI am looking for an internship or job in Data Analytics / Data Science, what should I do?\nFirst, reaching out to SEAS career services is a good idea. And it is also a good idea to get on Linkedin and get your CV / Resume setup so employers can find you.\nBeyond these channels, you can also significantly improve your chances of getting a position by networking with people in the DC area. For example, attend some of the Data Science DC meetups. Many of the participants are data professionals in the greater DC area and may know of a company hiring. You can also network online. Linkedin sometimes works, but joining Slack communities can also be a helpful way to connect with people. The R for Data Science community, for example, has a very active Slack that you can join that is open to the public. While it is more focused on R, they often post general jobs that are not language-specific.\nFinally, I would also recommend reading the book Build a Career in Data Science. The authors have many great suggestions and answer a lot of important questions about searching for and successfully finding a job in this field."
+    "text": "Frequently Asked Questions\n\nWhat is the recommended sequence for full-time students?\n\nSemester 1:\n\nCSCI 6444 Introduction to Big Data and Analytics\nEMSE 6765 Data Analysis for Engineers and Scientists\nEMSE 6574 Programming for Analytics\n\nSemester 2:\n\nEMSE 6586 Data Management Systems for Data Analytics\nFirst Required Track Course\n\nCS Track: CSCI 6212 Design and Analysis of Algorithms\nEMSE Track: EMSE 6575 Applied Machine Learning for Analytics\nElective\n\n\nSemester 3:\n\nSecond Required Track Course\n\nCS Track: CSCI 6364 Machine Learning\nEMSE Track: EMSE 6577 Data-Driven Policy\n\nElective\nElective\n\nSemester 4:\n\nSEAS 6402 Data Analytics Capstone\n\n\nThis leaves your final semester light on course work, which many students find helpful as they apply for jobs and can focus their time on interview preparation.\nNOTE: The above schedule is optimized for students starting in a fall semester. If you begin in spring, EMSE 6574 is usually not offered. If you are in the CS track, we recommend taking CSCI 6212 instead, or if you are in the EMSE track you can pick an EMSE course without prerequisites to take as an elective.\n\n\nWhat is the recommended sequence for part-time students taking 6 credits a semester?\n\nSemester 1:\n\nCSCI 6444 Introduction to Big Data and Analytics\nEMSE 6574 Programming for Analytics\n\nSemester 2:\n\nEMSE 6765 Data Analysis for Engineers and Scientists\nEMSE 6586 Data Management Systems for Data Analytics\n\nSemester 3:\n\nFirst Required Track Course (CSCI 6212 or EMSE 6575)\nElective\n\nSemester 4:\n\nSecond Required Track Course (CSCI 6364 or EMSE 6577)\nElective\n\nSemester 5:\n\nElective\nSEAS 6402 Data Analytics Capstone\n\n\n\n\nCan you help me understand the overall degree requirements?\nThe full requirements in the Bulletin are:\n\nComplete the five Required Courses\nComplete two Required Track courses for your focus area (CSCI 6212 and CSCI 6364 or EMSE 6575 and EMSE 6577)\nComplete one more Elective course in your track’s department at the 6000+ level\nComplete two additional electives. These can be 6000+ courses from any department, but if they are outside of CS or EMSE, then you need to get approval from your advisor first.\n\n\n\nDo I need to take CSCI 6362 Probability for Computer Science as a Prerequisite for CSCI 6364 Machine Learning?\nNo. This is not required as long as you have a statistics/probability course at the undergraduate level. Taking EMSE 6765 Data Analysis for Engineers and Scientists will also meet this need.\n\n\nCan you help me choose electives?\nIn general, any 6000 level course should generally be able to be counted for one of your two unrestricted electives. To find courses you may be interested in, check these resources:\n\nView the schedule of classes to see what will actually be offered in the semester you are interested in. Not all courses are offered every semester, and this is the best way to know what will actually be offered.\nView this Google sheet of common electives. While this list is not a comprehensive list of all electives, it does represent courses that DA students have taken in the past. It is a good list to start with when searching for electives, and it is continuously updated.\n\n\n\nHow many courses do I need in my focus area (CS or EMSE)?\nYou must take at least 3 courses in the track you have selected – two are required and the third is any of your choice from that department.\n\n\nCan I take course X which is not listed in the degree requirements?\nIf it is a 6000 level course, then generally yes it can be one of your two unrestricted electives. You should contact your advisor for approval first.\nYes, but you will need to fill out the CS Department’s Registration help form. Contact your advisor or cs@gwu.edu for more information.\n\n\nCan the SEAS 6402 DA Capstone course only be taken in Spring semesters?\nThe course is typically only offered in the spring, though some years we also offer a smaller fall section. You should not take 6402 until you have completed the other four required courses. If you start the program in Spring, then we recommend taking it in your 3rd semester (i.e., your second spring, a semester before graduation). If you are not able to take the course at the normal time, you should consult with your advisor before your last semester about completing the capstone as an independent project.\n\n\nI want to register for a 6000 level course, but I’m restricted, how do I register?\nSome courses have restrictions on who can register for a variety of reasons. Often times the restriction is due to missing prerequisite courses or the course is only offered to majors in that field (e.g. most courses in DATS are restricted to DATS majors). In these cases, you typically need to fill out an RTF form. Here are some details:\n\nFor EMSE courses: Fill out an RTF and send it to Professor Helveston for approval.\nFor CSCI courses: Go to the CS Department’s Registration help form and fill out the request form. Dr. Tim Wood will take care of processing the request.\nFor any other course: Fill out an RTF and send it to the course instructor for approval. In these cases (especially if it’s a course outside of SEAS), also include a message as to why you want to enroll in the course.\n\nIn general, if there are prerequisite issues preventing you from registering, also explain in your email why you should be exempt from the prerequisite (e.g. you have prior experience or have taken a similar course, etc.).\n\n\nI’m interested in becoming a Teaching Assistant or Research Assistant, how can I apply for one of these positions?\nGTA (teaching assistantship) positions are limited and typically offered to students later in the program (e.g. year 2) to GTA for a course they’ve already taken in their first year. There are not many of these available, and many are prioritized for PhD students over MS students since PhDs have longer tenures in SEAS (4-5 years) and because many will be in academic settings in their careers and therefore need more teaching experience. The best advice for these positions is to do an excellent job in the classroom and discuss with each faculty member you take a course with that has a GTA to see if you could take on a GTA position in the future. Directly expressing your interest to the faculty is the best thing you can do.\nGRA (research assistantship) positions are typically arranged on a faculty-by-faculty basis and usually supported by external research funding. The best way to find opportunities is to reach out to individual faculty and ask if there are potential GRA positions in their lab. It is also best to read up on the faculty member you are reaching out to to make sure their lab focuses on a topic that you are interested in and have something to offer. This isn’t limited to SEAS - you could be a GRA for a professor in a different school, and it is not strange for a DA student to use their skills in other domains, such as public health, the Elliott School, etc. Again, directly reaching out to faculty members is the best advise for obtaining one of these positions.\n\n\nI am looking for an internship or job in Data Analytics / Data Science, what should I do?\nFirst, reaching out to SEAS career services is a good idea. And it is also a good idea to get on Linkedin and get your CV / Resume setup so employers can find you.\nBeyond these channels, you can also significantly improve your chances of getting a position by networking with people in the DC area. For example, attend some of the Data Science DC meetups. Many of the participants are data professionals in the greater DC area and may know of a company hiring. You can also network online. Linkedin sometimes works, but joining Slack communities can also be a helpful way to connect with people. The R for Data Science community, for example, has a very active Slack that you can join that is open to the public. While it is more focused on R, they often post general jobs that are not language-specific.\nFinally, I would also recommend reading the book Build a Career in Data Science. The authors have many great suggestions and answer a lot of important questions about searching for and successfully finding a job in this field."
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