/english/ en /english/2019/02/20/engl-3116-topics-advanced-theory-critical-thinking-age-trump-fall-2019 <span>ENGL 3116: Topics in Advanced Theory, Critical Thinking in the Age of Trump (Fall 2019)</span> <span><span>Anonymous (not verified)</span></span> <span><time datetime="2019-02-20T15:13:20-07:00" title="Wednesday, February 20, 2019 - 15:13">Wed, 02/20/2019 - 15:13</time> </span> <div role="contentinfo" class="container ucb-article-categories" itemprop="about"> <span class="visually-hidden">Categories:</span> <div class="ucb-article-category-icon" aria-hidden="true"> <i class="fa-solid fa-folder-open"></i> </div> <a href="/english/taxonomy/term/79"> Courses </a> </div> <div role="contentinfo" class="container ucb-article-tags" itemprop="keywords"> <span class="visually-hidden">Tags:</span> <div class="ucb-article-tag-icon" aria-hidden="true"> <i class="fa-solid fa-tags"></i> </div> <a href="/english/taxonomy/term/327" hreflang="en">ENGL 3116</a> <a href="/english/taxonomy/term/387" hreflang="en">Fall 2019</a> <a href="/english/taxonomy/term/211" hreflang="en">Genre Media and Advanced Writing</a> </div> <div class="ucb-article-content ucb-striped-content"> <div class="container"> <div class="paragraph paragraph--type--article-content paragraph--view-mode--default"> <div class="ucb-article-content-media ucb-article-content-media-above"> <div> <div class="paragraph paragraph--type--media paragraph--view-mode--default"> </div> </div> </div> <div class="ucb-article-text d-flex align-items-center" itemprop="articleBody"> <div><p>Studies special topics in theory; specially designed for English majors. Topics vary each semester.</p> <p><strong>Repeatable:&nbsp;</strong>Repeatable for up to 6.00 total credit hours.&nbsp;<br> <strong>Requisites:&nbsp;</strong>Requires prerequisite course of&nbsp;<a href="https://catalog.colorado.edu/search/?P=ENGL%202112" rel="nofollow">ENGL&nbsp;2112</a>&nbsp;(minimum grade C-). Restricted to students with 27-180 credits (Sophomores, Juniors or Seniors) only.<br> <strong>Additional Information:</strong>Arts Sci Gen Ed: Distribution-Arts Humanities<br> Departmental Category: Advanced Theory, Genre Studies and Popular Culture</p></div> </div> </div> </div> </div> <h2> <div class="paragraph paragraph--type--ucb-related-articles-block paragraph--view-mode--default"> <div>Off</div> </div> </h2> <div>Traditional</div> <div>0</div> <div>On</div> <div>White</div> Wed, 20 Feb 2019 22:13:20 +0000 Anonymous 1821 at /english /english/2018/10/03/engl-3116-002-topics-advanced-theory-computational-literary-analysis-spring-2019 <span>ENGL 3116-002: Topics in Advanced Theory, Computational Literary Analysis (Spring 2019)</span> <span><span>Anonymous (not verified)</span></span> <span><time datetime="2018-10-03T15:24:09-06:00" title="Wednesday, October 3, 2018 - 15:24">Wed, 10/03/2018 - 15:24</time> </span> <div> <div class="imageMediaStyle focal_image_wide"> <img loading="lazy" src="/english/sites/default/files/styles/focal_image_wide/public/article-thumbnail/digital_media_2_0.jpeg?h=a57849d2&amp;itok=TInfBm1w" width="1200" height="800" alt="woman standing beside building holding smartphone"> </div> </div> <div role="contentinfo" class="container ucb-article-categories" itemprop="about"> <span class="visually-hidden">Categories:</span> <div class="ucb-article-category-icon" aria-hidden="true"> <i class="fa-solid fa-folder-open"></i> </div> <a href="/english/taxonomy/term/79"> Courses </a> </div> <div role="contentinfo" class="container ucb-article-tags" itemprop="keywords"> <span class="visually-hidden">Tags:</span> <div class="ucb-article-tag-icon" aria-hidden="true"> <i class="fa-solid fa-tags"></i> </div> <a href="/english/taxonomy/term/327" hreflang="en">ENGL 3116</a> <a href="/english/taxonomy/term/211" hreflang="en">Genre Media and Advanced Writing</a> <a href="/english/taxonomy/term/291" hreflang="en">Spring 2019</a> </div> <span>Dr. Rachael Simonetta and Prof. David Glimp</span> <div class="ucb-article-content ucb-striped-content"> <div class="container"> <div class="paragraph paragraph--type--article-content paragraph--view-mode--default"> <div class="ucb-article-content-media ucb-article-content-media-above"> <div> <div class="paragraph paragraph--type--media paragraph--view-mode--default"> <div> <div class="imageMediaStyle large_image_style"> <img loading="lazy" src="/english/sites/default/files/styles/large_image_style/public/article-image/digital_media_2.jpeg?itok=ieCNCi7d" width="1500" height="938" alt="woman standing beside building holding smartphone"> </div> </div> </div> </div> </div> <div class="ucb-article-text d-flex align-items-center" itemprop="articleBody"> <div><p>We all know that computers don鈥檛 have feelings.&nbsp; But how might we leverage technology to think about what it is to be human; to identify the emotional state of a speaker; to anticipate the affective response a text aims to produce in a reader or audience member?&nbsp; What kinds of questions can you ask about 100 novels that you can鈥檛 ask when reading a single book?&nbsp; What kinds of insights about human creativity arise from taking advantage of computer programs capable of working with very large data sets?&nbsp; These are just some of the questions that we will take up in Computational Literary Analysis, an experiment in new methods of literary inquiry.&nbsp;&nbsp;</p> <p>This course provides an introduction to the use of computational methods in literary criticism.&nbsp; The class begins by exploring recent work in the field.&nbsp; We will consider the theoretical and methodological implications of using computers and statistical algorithms to analyze literature while also developing the necessary coding skills to enter into this conversation.&nbsp; The course will be largely hands-on, involving multiple projects designed to build the fundamental skills required for digital textual analysis.&nbsp; Students will also be asked to evaluate and think critically about this kind of scholarship.&nbsp; We will work together to learn the basics of text mining and will undertake a range of projects, from tracking word frequency to performing sentiment analysis, network analysis, topic modeling and text classification.</p> <p>Computational Literary Analysis aims to cross disciplinary boundaries, to nudge us all outside of our comfort zones, and to do work in a collaborative learning environment where we collectively value and cultivate innovation and creativity.</p> <p>Students from other departments are welcome.&nbsp; No previous programming experience required</p></div> </div> </div> </div> </div> <h2> <div class="paragraph paragraph--type--ucb-related-articles-block paragraph--view-mode--default"> <div>Off</div> </div> </h2> <div>Traditional</div> <div>0</div> <div>On</div> <div>White</div> Wed, 03 Oct 2018 21:24:09 +0000 Anonymous 1567 at /english