{"id":124,"date":"2021-11-04T10:47:32","date_gmt":"2021-11-04T14:47:32","guid":{"rendered":"https:\/\/carleton.ca\/dsaai\/?page_id=124"},"modified":"2022-06-14T08:27:25","modified_gmt":"2022-06-14T12:27:25","slug":"proposed-courses","status":"publish","type":"page","link":"https:\/\/carleton.ca\/dsaai\/proposed-courses\/","title":{"rendered":"Proposed Courses"},"content":{"rendered":"

Proposed Courses<\/strong><\/h2>\n

Existing Courses<\/a>
\nProposed New Data Science Courses<\/a>
\nCourse Descriptions for Approved Electives<\/a><\/p>\n

<\/a>Existing Course<\/h3>\n

DATA 5000 [0.5 credit]
\nData Science Seminar <\/strong>
\nCloud based distributed systems, statistics, machine learning, use of complex ecosystems of tools and platforms, and communication skills to explain advanced analytics. Students choose a project in Big Data management and\/or analysis, deliver a paper and give a class presentation on their findings.<\/p>\n

<\/a>Proposed New Data Science Courses<\/h3>\n

DATA 5001 [0.5 credit]
\nFundamentals in Data Science and Analytics<\/strong>
\nVisualization and knowledge discovery in massive datasets; unsupervised learning: clustering algorithms, dimension reduction; supervised learning: pattern recognition, smoothing techniques, classification. Precludes additional credit for STAT 5703.<\/p>\n

DATA 5908
\nProject \u2013 M.Sc.<\/p>\n

DATA 5918
\nProject \u2013 M.I.T.<\/p>\n

DATA 5928
\nProject \u2013 M.Eng.<\/p>\n

DATA 5909
\nThesis M.Sc.<\/p>\n

DATA 5919
\nThesis M.I.T.<\/p>\n

DATA 5929
\nThesis\u00a0M.A.Sc.<\/p>\n

DATA 5939
\nThesis MCS<\/p>\n

DATA 6909
\nDissertation<\/p>\n

<\/h3>\n

<\/a>Course Descriptions for Approved Electives \u2013 For information only<\/h3>\n