Notes: Orga

NotePreparation
  • Check room
  • Print student list
  • Prepare/bring tags to form groups
  • Prepare a teams session for students to share their work (update link in _variables.yml - instructor.online_meeting_url).
Time (min) Duration Topic
00-20 20 Orga

Myself

I do not know everything. I make mistakes. …

My Story as a teacher. Copy Stanford slides for CS vs. Evolved role…

  • theoretische Informatik: just reusing stanford slides (reputable instiution: good, but no own contribution) Also Connect to Student expectations: broad knowledge (by Heart, being able to discuss immediately instead of asking chatgpt) plus deep expertise

  • Story (TI: Stanford slides, … - both: hard skills + engagement with practice)

  • I give my very best, aim to make this the best analytics course.

Mention surveys after each session (voluntary, but help me assess and prioritize)

Mention (without bullets on the slide)

  • What I expect from students
  • What students can expect from me

First round

  • Lot of unknowns: how long session will take, how much you already know, what is challenging or easy
  • I will learn as much as you will.
  • I will ask for your feedback very regularly (at the end of each session)

About you

Maybe:

  • prior experience (e.g., python)?
  • Ask students how they learn (PDF, …) whether they use a knowledge management system (which one), …

Curriculum

Ask/check whether it is the right overview (how many students are in semester 4 or 6)

Analytics and why it matters

Takeaway - why analytics matters: Analytics is not just about data. It changes how decisions are made, how organizations compete, and who wins.

Architecture

Objectives

  • Python implementation: we will acquire some technical skills. Python was selected deliberately. I know there are many graphical, low-code/no-code tools out there. But they have their limitations. If we learn Python, that is more useful to understand other tools as well. In addition, using LLMs on Python code is much easier and you can clearly see and control what is suggested.

Not covered

  • Engineering: “building the system”
  • Statistical theory: “explaining the WHY”
  • Mathematical models: “building more specialized models”
  • Autonomous systems: “Implementing the decisions”

Logistics

  • Format of the session (exercises, preparation/reading)
  • Summary presentations of practitioner materials?
  • Consultation hour?

Materials

  • You always have the slides available (especially if you sit in the back, some slides may be hard to read)

Theses

  • My students publish (very proud of them)