Evaluation 28 August 2023

Raw input

Alter

  • Full code on wiki (copying line by line is tedious)
  • Clearer goals for theory
    • telling the goal on what we’re trying to accomplish with the math
  • Brief on Python
  • Incorporate wiki in brief
  • wiki sessions not based on code from previous sessions
  • lower level of detail
  • try explaining more concise and simpler
  • fix mistakes and incompletenes in wiki

Begin

  • refresh matrices more at the start
  • live python example
  • explain what and who we learn something
  • provide working code examples for review
  • more present during exercises

Continue

  • Theory-exercise-recap x3
    • format of lectures is really good
  • wiki
  • easy to talk to, east to understand when explaining
  • time for exercise
  • linking python to the math; get visuals of what we’re calculating

Evaluation

Actions

  1. More concise briefing with clear goal statement. It should be cut to 1h in most cases.
    • level of detail to be conisdered
  2. New/revised material. There is a lot that could be done here, and I can only manage some of it. Most important.
    • video demoes of Python - there will rarely be enough time to do this in the brief without sacrificing conceptual theory
    • mistakes and incompleteness - many tutorials should probably be tested and revised more thoroughly
    • provide working code examples for review - is this solutions after the exercises or demoes for the brief?

Discussion

  • Full code on wiki (copying line by line is tedious)
    • not sure what to make of this … the tutorials are not designed as programs to run, but a sequence of commands and techniques to be tested and understood individually