added weekly exercises

2023-11-21 06:58:24 +01:00
parent 06b09eb681
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@@ -5,5 +5,80 @@ DATE: Deadline is Sunday November 26 at midnight

 =======  Overarching aims of the exercises this week =======

-The exercise this week is a simple course survey and feedback.
-This is important for us in order to improve our teaching material, the active learning format and anything else related to a succesful mastering of central machine learning methods and their applications.
+The exercise this week is a simple course survey and feedback.  This
+is important for us in order to improve our teaching material, the
+active learning format and anything else related to a succesful
+mastering of central machine learning methods and their applications.
+
+
+=== Why did you choose this course? ===
+
+=== What was your programming knowledge before you started? ===
+And do you feel this course added to your programming competences and skills?
+
+=== How do you judge your own level of knowledge on machine learning before and after this course? ===
+
+Here you can discuss your level of skill/knowledge at start of course
+and at the end of the course and how these matched the level of
+skill/knowledge needed to complete the projects.
+
+=== Did the projects and the teaching material allow you to deepen your insights about Machine Learning? ===
+
+Feel free to comment here. 
+
+
+=== Project based teaching and active learning ===
+
+This is a project based course and we as teachers would like to keep
+it as it is since we see very clearly that people who attend this
+course have a very good learning outcome. Project based courses are
+however demanding (and expensive seen from the university admin) when
+it comes to proper feedback and evaluations. Feel free to discuss
+whether you found a project-based and active learning approach
+useful. Feel also free to comment upon things we can improve upon or
+alternative ways to assess whether the learning outcomes have been
+achieved. Would you for example prefer a standard 4 hours written exam
+be something you would prefer?  Or other alternatives to projects? We
+would very much value your thoughts here since projects are an
+essential part of this course.
+
+=== Usefulness of the weekly exercises ===
+
+Did the weekly exercises help in getting started with the projects?
+How relevant where they for solving the projects?  Feel free to
+elaborate
+
+=== Active learning/lab sessions and lectures ===
+
+Was there a good link between lectures and active learning sessions?
+Would you prefer an active learning environment only with no lectures
+or would you prefer a more lecture based format with lab sessions only
+(that is no discussion at the beginning of the lab sessions)? Feel
+free to comment.
+
+
+
+=== How would you improve this course? ===
+
+Are there topics which are missing, topics which could have been
+omitted and/or discussed in more depth? Feel free to add your comments
+here such as how to improve to teaching material and more.
+
+
+
+===== Then some basic questions =====
+
+=== Which is your preferred information chanel, Canvas, Discord, mail or other?  ===
+
+=== Was the weekly update with plans etc useful? ===
+
+=== Was it easy to access the course material? ===
+
+=== Which resources and tools did you use? Jupyter-notebooks, GitHub, the various textbooks we have recommended, etc etc ===
+
+=== If you did not attend the lectures or the active learning/lab sessions, which resources did you use? ===
+
+
+=== Any other topics, impressions, ideas etc you would like to share with us? ===
+
+