<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>Dalhousie RSS   - Graduate</title>
    <link>https://www.dal.ca/faculty/computerscience/news-events/news.html</link>
    <description>Dalhousie RSS   - Graduate</description>
    <pubDate>Fri, 17 Apr 2026 12:36:40 GMT</pubDate>
    <dc:date>2026-04-17T12:36:40Z</dc:date>
    <item>
      <title>Celebrating our student Snowball award winners</title>
      <link>https://www.dal.ca/faculty/computerscience/news-events/news/2021/03/31/celebrating_our_student_snowball_award_winners.html</link>
      <description>The 2021 virtual Snowball celebrated student success after what has been a different year for everyone</description>
      <enclosure url="https://cdn.dal.ca/faculty/computerscience/news-events/news/2021/03/31/celebrating_our_student_snowball_award_winners/_jcr_content/contentPar/newsArticle/image.adaptive.579.high.jpg/1617193718525.jpg" length="417862" type="image/jpg" />
      <category>Undergraduate</category>
      <category>Women in Tech</category>
      <category>Students</category>
      <category>CS Society</category>
      <category>WiTS</category>
      <category>International</category>
      <category>Awards</category>
      <category>CSGS</category>
      <category>Graduate</category>
      <pubDate>Wed, 31 Mar 2021 15:00:00 GMT</pubDate>
      <guid>https://www.dal.ca/faculty/computerscience/news-events/news/2021/03/31/celebrating_our_student_snowball_award_winners.html</guid>
      <dc:creator>Yara Ahmed</dc:creator>
      <dc:date>2021-03-31T15:00:00Z</dc:date>
    </item>
    <item>
      <title>Computer science student faces doubts head on to win national government programming competition</title>
      <link>https://www.dal.ca/faculty/computerscience/news-events/news/2020/12/03/computer_science_student_faces_doubts_head_on_to_win_national_government_programming_competition.html</link>
      <description>Without the support of her supervisors, Master of Electronic Commerce student Tahajjat Begum feels that she would not have had the confidence to achieve everything she has during her time at Dalhousie, including winning the Statistics Canada Business Data Scientist Challenge.</description>
      <enclosure url="https://cdn.dal.ca/faculty/computerscience/news-events/news/2020/12/03/computer_science_student_faces_doubts_head_on_to_win_national_government_programming_competition/_jcr_content/contentPar/newsArticle/image.adaptive.579.high.jpg/1607091910696.jpg" length="70056" type="image/jpg" />
      <category>Awards</category>
      <category>Alumni &amp; Friends</category>
      <category>Students</category>
      <category>Big Data &amp; Machine Learning</category>
      <category>Graduate</category>
      <pubDate>Thu, 03 Dec 2020 16:00:00 GMT</pubDate>
      <guid>https://www.dal.ca/faculty/computerscience/news-events/news/2020/12/03/computer_science_student_faces_doubts_head_on_to_win_national_government_programming_competition.html</guid>
      <dc:creator>Becca Rawcliffe</dc:creator>
      <dc:date>2020-12-03T16:00:00Z</dc:date>
    </item>
    <item>
      <title>Learning from the best: Researchers use AI to simulate soccer with inspiration from world’s top players</title>
      <link>https://www.dal.ca/faculty/computerscience/news-events/news/2020/12/02/learning_from_the_best__researchers_use_ai_to_simulate_soccer_with_inspiration_from_world_s_top_players.html</link>
      <description>Using AI and machine learning to mimic the behaviour of the likes of Cristiano Ronaldo and Lionel Messi, a team of researchers from the Institute for Big Data Analytics at Dalhousie were recently named as runners up in 2020’s largest international AI soccer simulation competition, RoboCup Japan Open.</description>
      <enclosure url="https://cdn.dal.ca/faculty/computerscience/news-events/news/2020/12/02/learning_from_the_best__researchers_use_ai_to_simulate_soccer_with_inspiration_from_world_s_top_players/_jcr_content/contentPar/newsArticle/image.adaptive.579.high.jpg/1606928499064.jpg" length="36114" type="image/jpg" />
      <category>Research</category>
      <category>Innovation</category>
      <category>Faculty</category>
      <category>Big Data &amp; Machine Learning</category>
      <category>Graduate</category>
      <pubDate>Wed, 02 Dec 2020 16:00:00 GMT</pubDate>
      <guid>https://www.dal.ca/faculty/computerscience/news-events/news/2020/12/02/learning_from_the_best__researchers_use_ai_to_simulate_soccer_with_inspiration_from_world_s_top_players.html</guid>
      <dc:creator>Becca Rawcliffe</dc:creator>
      <dc:date>2020-12-02T16:00:00Z</dc:date>
    </item>
  </channel>
</rss>
