diff --git a/lectures/intro/slides.qmd b/lectures/intro/slides.qmd
index 9c7d68e8a0a3365d233eb761e398db6dee46fcc5..efa67c41b6fa342b83372838d62ac6c1cc31c6b4 100644
--- a/lectures/intro/slides.qmd
+++ b/lectures/intro/slides.qmd
@@ -1,7 +1,5 @@
 ---
 title: "Introduction"
-author: "Tobias Kölling, Florian Ziemen, and the teams at MPI-M and DKRZ"
-
 ---
 
 # This course
@@ -13,8 +11,12 @@ author: "Tobias Kölling, Florian Ziemen, and the teams at MPI-M and DKRZ"
 
 ## Format
 * Weekly lectures with exercises
-* Changing lecturers
+* Changing lecturers (Tobi, Lukas, and Flo)
+
+## Passing and grades
 * Active participation in the exercises will get you a pass, or a 2 if you need a grade. If you want a different grade, you can prepare a presentation for the last lecture date, and we'll grade that.
+* We expect attendance in at least 80% of the exercises - contact us if that's not possible for you.
+* You will also need 50% of the score for the exercises.
 
 ::: {.notes}
 The presentation can change your grade in either direction.
@@ -23,50 +25,33 @@ The presentation can change your grade in either direction.
 
 ## The exercises
 * We provide exercises at the end of each lecture.
+* Programming exercises will use python.
 * You have to hand-in the answers _before_ the next lecture.
-* We will draw candidates for presenting from those submissions.
-* Starting with lecture 2 *submitting* will usually be a git commit hash, but we'll explain that next week.
-* We expect attendance in at least 80% of the exercises - contact us if that's not possible for you.
+* We will grade and discuss them one week later.
+* Starting with lecture 2 *submitting* will usually be a git merge request, but we'll explain that next week.
 
 
 # The topics
 
-## Practical skills
+## Basic workbench
 * Working with the command line 
-* GIT
+* Git
+* Coding environment and reproducibility
+* Tooling and CI
+* Git advanced
+
+## Working with code
 * Testing
+* Refactoring & Legacy code, Facade pattern
 * Debugging
 * User experience design
-* Good scientific & coding practice
-
-## Understanding the system
-* Computing devices (hardware)
-* File & Data systems
-* Memory hierarchies
+* error handling & observability (& logging)
+* Open development, Licenses, ...
 
 ## Understanding usage
-* Programming paradigms
 * Data structures
 * Complexity
-* Parallelism
-
-# The lecturers
-
-## DKRZ
-* Claudia Frauen (HPC and GPU programming)
-* Dominik Zobel (HPC and GPU programming)
-* Florian Ziemen (Data access and visualization)
-* Georgiana Mania (HPC and GPU programming)
-* Jan Frederik Engels *JFE* (experimental computer science)
-* Nils-Arne Dreier (HPC and data access)
-
-## MPI-M
-* Bjorn Stevens (Climate physics)
-* Karl-Hermann Wieners (HPC usability and data workflow)
-* Lukas Kluft (Meteorology, python, and data workflow)
-* René Redler (HPC and model coupling)
-* Theresa Mieslinger (Clouds and computing)
-* Tobias Kölling (Physicist, likes data structures)
+* Programming paradigms
 
 
 # The students