Update week34.do.txt
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@@ -7,19 +7,25 @@ DATE: Week 34, August 21-25, 2021
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!split
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===== Overview of first week =====
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The sessions on Tuesdays and Wednesdays last four hours for each group (four in total) and will
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include lectures in a flipped mode (promoting active learning)
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and work on exercices and projects. The sessions will begin with
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lectures and questions and answers about the material to be covered
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every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
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and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
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o The sessions on Tuesdays and Wednesdays last four hours for each group (four in total) and will include lectures in a flipped mode (promoting active learning) and work on exercices and projects.
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o The sessions will begin with lectures and questions and answers about the material to be covered every week.
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o There are four groups:
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* Tuesdays 815am-12pm and 1215pm-4pm
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* Wednesdays 815am-12pm and 1215pm-4pm.
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Please sign up as soon as
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possible for one of the groups. Max capacity per group is 30-40
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participants. The labs are also available till 6pm Tuesdays and Wednesdays
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On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm and serve the aims of giving an overview over various topics.
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The first week we wtart with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course.
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o On Thursdays we have a regular lecture. These lectures start at 1215pm and end at 2pm and serve the aims of giving an overview over various topics.
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The first week we start with simple linear regression, a repetition of
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linear algebra and elements of statistics needed for the course.
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!split
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===== Schedule first week =====
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!bblock
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* August 22: Presentation of the course, aims and content. Introduction to software and repetition of Python Programming, linear algebra and basic elements of statistics. Please select group.
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* August 23: Presentation of the course, aims and content. Introduction to software and repetition of Python Programming, linear algebra and basic elements of statistics. Please select group.
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