Update week34.do.txt

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Morten Hjorth-Jensen
2023-08-08 21:40:26 +02:00
parent 88a49de534
commit 70249702ff
+14 -8
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@@ -7,19 +7,25 @@ DATE: Week 34, August 21-25, 2021
!split
===== Overview of first week =====
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. The sessions will begin with
lectures and questions and answers about the material to be covered
every week. There are four groups, Tuesdays 815am-12pm and 1215pm-4pm
and Wednesdays 815am-12pm and 1215pm-4pm. Please sign up as soon as
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.
o The sessions will begin with lectures and questions and answers about the material to be covered every week.
o There are four groups:
* Tuesdays 815am-12pm and 1215pm-4pm
* Wednesdays 815am-12pm and 1215pm-4pm.
Please sign up as soon as
possible for one of the groups. Max capacity per group is 30-40
participants. The labs are also available till 6pm Tuesdays and Wednesdays
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.
The first week we wtart with simple linear regression, a repetition of linear algebra and elements of statistics needed for the course.
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.
The first week we start with simple linear regression, a repetition of
linear algebra and elements of statistics needed for the course.
!split
===== Schedule first week =====
!bblock
* 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.
* 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.