Learning outcomes¶

This course is aimed at complete beginners.

What does this mean?

That we follow the pace of the group as a whole (i.e. not of those that are fastest, nor the sessions in the schedule)

Additionally, this means that if a learner writes in the evaluation 'This course was too slow', this is considered neutral. If a learner writes in the evaluation 'This course was too fast', however, this is considered bad.

Below are the learning outcomes of this course, as copied from its evaluation. The course is learner-centered (why?), hence the pace is determined be the learners (i.e. not by the clock).

These are the two main goals:

Time	Main goal
Morning	You have run Python code on an HPC cluster
Afternoon	You have written your first Python code

Sub-goals of 'You have run Python code on an HPC cluster'

Subgoals are:

You have used the documentation of your HPC center
You have used a Python book
You haved loaded Python on your HPC cluster
You have started the Python interpreter
You have used a text editor on your HPC cluster
You have created a Python script
You have run a Python script
You have a Python script that uses a graphical library on your HPC cluster

Sub-goals of 'You have written your first Python code'

Subgoals are:

In Python, you have created a variable
In Python, you have used a variable
You have converted a simple equation to Python code
You have converted a simple text question to Python code
In Python, you have written text to a file

These are non-goals:

Non-goal	Example of course that does teach this
Run useful calculations	The NAISS HPC Python course 'Basic batch and Slurm' session
Use parallel computations	The NAISS HPC Python course 'Parallel computing' session
Professional software development	The Programming Formalisms course
The software module system	The NAISS HPC Python course 'Using packages' session
Matplotlib	The NAISS HPC Python course 'Matplotlib' session
Transferring files to/from an HPC cluster	The NAISS 'Connecting and File Transfer' course