{"id":10713,"date":"2023-11-08T18:33:23","date_gmt":"2023-11-08T23:33:23","guid":{"rendered":"https:\/\/www.bu.edu\/cds-faculty\/?p=10713"},"modified":"2023-11-10T09:34:40","modified_gmt":"2023-11-10T14:34:40","slug":"new-spring-2024-cds-courses-announced","status":"publish","type":"post","link":"https:\/\/www.bu.edu\/cds-faculty\/2023\/11\/08\/new-spring-2024-cds-courses-announced\/","title":{"rendered":"New Spring 2024 CDS Courses Announced"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Boston University\u2019s Faculty of Computing &amp; Data Sciences is pleased to unveil an exciting lineup of six new courses for the upcoming Spring 2024 semester. The new Spring course offerings span across a wide range of data science disciplines, covering everything from Machine Learning to the intricacies of computational biology and mathematics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Learn about our new computing and data sciences courses, the faculty leading the charge, and discover the inspiration behind each of these new courses.<\/span><\/p>\n<h3>CDS DS 592 &#8211; Randomized Algorithms<\/h3>\n<h4><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10748 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Moon-Duchin-2-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Moon Duchin<\/span><\/h4>\n<p><i><span style=\"font-weight: 400;\">\u201cMy course will look at randomized algorithms from the point of view of data-rich applications.\u00a0 One of the sources of inspiration is the &#8220;Top Ten Algorithms of the Twentieth Century&#8221; list by the IEEE &#8212; a kind of greatest hits compilation with crowd-pleasers like Quicksort, Metropolis, and the Simplex algorithm.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> A little randomness is a surprisingly powerful ingredient in algorithm design. Sometimes this amounts to producing approximate solutions to a problem where exact global solutions are forbiddingly hard to find, and other times the randomness itself\u2014as a probability distribution\u2014is the goal. This course will present some classic and some cutting-edge randomized algorithms, with an emphasis on discrete and graph-based problems.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Spring 24, this course satisfies:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BS in DS Methodology Track for <\/span><span style=\"font-weight: 400;\">Advanced Data Science Methods<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MS in DS A1 <\/span><span style=\"font-weight: 400;\">Competency<\/span><span style=\"font-weight: 400;\">\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PhD in DS <\/span><span style=\"font-weight: 400;\">Competency<\/span><span style=\"font-weight: 400;\"> in Efficient &amp; Scalable Algorithms, Optimization\u00a0<\/span><span style=\"font-weight: 400;\">Algorithms, and Mathematical Foundations<\/span><\/li>\n<\/ul>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+592&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n<h3>CDS DS 593 &#8211; Data Engineering at Scale<\/h3>\n<h4><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Langdon-White-2.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10747 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Langdon-White-2-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Langdon White<\/span><\/h4>\n<p><span style=\"font-weight: 400;\">Clinical Assistant Professor of Computing &amp; Data Sciences + BU Spark! Technical Director<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201c<\/span><\/i><i><span style=\"font-weight: 400;\">Some systems are all about data. Think about trying to track the pandemic: there&#8217;s no sales to be made, no games, no GRWM videos. Instead, we need to gather data, process it, publish it, notify close contacts, look for patterns, etc. Well, this class, Data Engineering at Scale, will teach you how to build a system like that for a global audience with global scale.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> This course is designed to immerse you into the fascinating world of large-scale data management, processing, and analytics. Throughout this course, students will focus on a mythical but powerful application called the &#8220;Epidemic Engine&#8221;. The Epidemic Engine, while hypothetical, embodies the principles and challenges of real-world data engineering systems that power today&#8217;s most innovative technologies, from social networks to streaming platforms to cutting-edge AI research.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Spring 24, this course satisfies:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">BS in DS Methodology Track for <\/span><i><span style=\"font-weight: 400;\">Scalable and Trustworthy DS &amp; AI<\/span><\/i><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MS in DS A2 Competency\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">PhD in DS Competency in <\/span><span style=\"font-weight: 400;\">Programming &amp; Software Design and Large-Scale<\/span> <span style=\"font-weight: 400;\">Data Management<\/span><\/li>\n<\/ul>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+593&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n<h3>CDS DS 596 &#8211; Special Topics in Natural, Biological and Medical Sciences<\/h3>\n<h4><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10746 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Brian-Cleary-2-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Brian Cleary<\/span><\/h4>\n<p><span style=\"font-weight: 400;\">Assistant Professor of Computing &amp; Data Sciences + Biology + Biomedical Engineering\u00a0<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201cThis course is designed to give upper level undergraduate students a foundation for applying data science in biological research by exploring both computational methods and the biological contexts and questions in which they are employed.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> This course establishes a foundation in applied statistics and data science in biology for those interested in pursuing data-driven research. The course will develop the foundations of and illustrate major methods applied in modern biological problems and data sets. Students will explore application of these methods in the context of gene regulatory networks, genotype to phenotype mapping, chromatin structure analysis, single-cell biology, and quantitative biological imaging.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Spring 24, this course satisfies:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">BS in DS Data Science in the field track\u00a0<\/span><\/li>\n<li><span style=\"font-weight: 400;\">MS in DS A1 <\/span><span style=\"font-weight: 400;\">Competency<\/span><\/li>\n<\/ul>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+596&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n<h3>CDS DS 598 A1 &#8211; Introduction to Reinforcement Learning<\/h3>\n<h4><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10750 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Xuezhou-Jack-Zhang-2-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Xuezhou (Jack) Zhang<\/span><\/h4>\n<p><span style=\"font-weight: 400;\">Assistant Professor of Computing &amp; Data Sciences<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201c<\/span><\/i><i><span style=\"font-weight: 400;\">The course is designed as a non-math-heavy introduction to reinforcement learning (RL), with the goal of allowing the students to grasp a high level understanding of the methodology of RL.\u00a0<\/span><\/i><\/p>\n<p><i><span style=\"font-weight: 400;\">The hope is that by the end of the semester, students will understand the underlying mechanisms of popular RL applications like AlphaGO and ChatGPT, and be able to approach new problems from an RL perspective.\u201d\u00a0<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> This course introduces students to the field of Reinforcement Learning (RL). Students will learn the basic concepts in reinforcement learning, classic algorithms (model-based, value-based, policy-based) and explore modern challenges (exploration, partial observability, multi-agent RL).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Spring 24, <\/span><span style=\"font-weight: 400;\">this course satisfies:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">BS in DS Methodology track in <\/span><i><span style=\"font-weight: 400;\">Applied and Use-Inspired DS &amp; AI<\/span><\/i><\/li>\n<li><span style=\"font-weight: 400;\">MS in DS A3 Competency\u00a0<\/span><\/li>\n<li><span style=\"font-weight: 400;\">PhD in DS Competency in <\/span><span style=\"font-weight: 400;\">Predictive Analysis &amp; ML<\/span><\/li>\n<li><span style=\"font-weight: 400;\">PhD in DS Subject core in <\/span><span style=\"font-weight: 400;\">Data Mining &amp; Machine Learning<\/span><\/li>\n<\/ul>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+598&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n<h3>CDS DS 598 B1 &#8211; Deep Learning for Data Science<\/h3>\n<h4><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10749 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Thomas-Gardos-2-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Thomas Gardos<\/h4>\n<p><span style=\"font-weight: 400;\">Associate Professor of the Practice of Computing &amp; Data Sciences<\/span><\/p>\n<p><em><span style=\"font-weight: 400;\">\u201cAt a high level, students will take away three things: one, practical experience in training and inference using deep learning frameworks, two, an understanding of fundamental concepts in order to apply first-principles thinking, and last but not least, an understanding of potential ethical challenges.\u201d<\/span><\/em><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> In this course, students will gain an understanding of the fundamentals in deep learning and then apply those concepts in exercises and applications in python. You\u2019ll learn the foundations of training and inference, then become familiar with canonical network architectures including convolutional neural networks and transformers. We\u2019ll look at generative pre-trained Transformer models and pros and cons of prompt engineering versus finetuning.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">\u00a0Finally, students will be able to apply many of the techniques they learned in a final class project.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In Spring 24, this course satisfies:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">BS in DS Methodology track in <\/span><i><span style=\"font-weight: 400;\">Applied and Use-Inspired DS &amp; AI<\/span><\/i><\/li>\n<li><span style=\"font-weight: 400;\">MS in DS A3 Competency\u00a0<\/span><\/li>\n<li><span style=\"font-weight: 400;\">PhD in DS Competency in <\/span><span style=\"font-weight: 400;\">Predictive Analysis &amp; ML<\/span><\/li>\n<li><span style=\"font-weight: 400;\">PhD in DS Subject core in <\/span><span style=\"font-weight: 400;\">Data Mining &amp; Machine Learning<\/span><\/li>\n<\/ul>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+598&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n<p><span style=\"font-weight: 400;\">These courses are now on the schedule and ready for registration and enrollment, <\/span><span style=\"font-weight: 400;\">please<\/span><span style=\"font-weight: 400;\"> direct any questions to the CDS advisors. <\/span><span style=\"font-weight: 400;\">Follow the same steps to enroll you normally do.<\/span><\/p>\n<h3>CDS DS 594 &#8211; Spark! Data Visualization X-Lab Practicum<\/h3>\n<h4><span style=\"font-weight: 400;\"><img loading=\"lazy\" src=\"\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3.png\" alt=\"\" width=\"300\" height=\"300\" class=\"wp-image-10745 alignleft\" srcset=\"https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3.png 1080w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-636x636.png 636w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-1024x1024.png 1024w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-150x150.png 150w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-768x768.png 768w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-300x300.png 300w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-600x600.png 600w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-550x550.png 550w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-710x710.png 710w, https:\/\/www.bu.edu\/cds-faculty\/files\/2023\/11\/Anthony-Chamberas-3-100x100.png 100w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/>Professor Anthony Chamberas<\/span><\/h4>\n<p><span style=\"font-weight: 400;\">Adjunct Lecturer at CDS<\/span><\/p>\n<p><i><span style=\"font-weight: 400;\">\u201cIn this course students will learn skills for presenting data visually. We will leverage design practices, statistical analysis and problem solving to effectively communicate complex data science outcomes to a variety of audiences.\u00a0 In addition to lectures on data visualization topics, students will also work on industry projects, putting their learnings into practice, while learning data visualization tools along the way.\u201d<\/span><\/i><\/p>\n<p><span style=\"font-weight: 400;\"><strong>About the course:<\/strong> The Data Visualization X-Lab Practicum offers students an opportunity to learn data visualization skills through course and project-based work. This course provides an accurate experience of solving real-world problems with data visualization, and the various tradeoffs that need to be considered. Whether it&#8217;s how to efficiently use color and space, effectively understand the profile of a dataset or cautiously avoid bias, this course will provide students with a solid understanding of applicable data visualization practices.<\/span><\/p>\n<p><i>For more information, including prerequisites and class times, <a href=\"https:\/\/www.bu.edu\/phpbin\/course-search\/search.php?page=w0&amp;pagesize=10&amp;adv=1&amp;nolog=&amp;search_adv_all=cds+ds+594&amp;yearsem_adv=2024-SPRG&amp;credits=*&amp;pathway=&amp;hub_match=all&amp;pagesize=10\"><b>click here<\/b><\/a><\/i>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>CDS announces brand new courses that students can register for right now for Spring 2024!<\/p>\n","protected":false},"author":18839,"featured_media":10752,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[427,5,1],"tags":[480,482,481,479,378],"_links":{"self":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/10713"}],"collection":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/users\/18839"}],"replies":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/comments?post=10713"}],"version-history":[{"count":15,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/10713\/revisions"}],"predecessor-version":[{"id":10756,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/posts\/10713\/revisions\/10756"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/media\/10752"}],"wp:attachment":[{"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/media?parent=10713"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/categories?post=10713"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.bu.edu\/cds-faculty\/wp-json\/wp\/v2\/tags?post=10713"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}