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Add meeting notes and course dates
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‎docs/schedule.md‎

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# Preliminary schedule
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Course dates:
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Week|Date |Description
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----|--------------------|----------------------
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17 |Wednesday 2025-04-23|(optional) On-boarding
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17 |Thursday 2025-04-24 |Day 1: [NAISS 'Intro to Python'](https://uppmax.github.io/uppmax_intro_python/schedule/))
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17 |Friday 2025-04-25 |Day 2
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18 |Monday 2025-04-28 |Day 3
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18 |Tuesday 2025-04-29 |Day 4
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## Day 1: Log in and use Basic Python in a cluster environment
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[NAISS 'Intro to Python'](https://uppmax.github.io/uppmax_intro_python/schedule/))
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See schedule at [NAISS 'Intro to Python'](https://uppmax.github.io/uppmax_intro_python/schedule/)).
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Time | Topic |Teacher
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09:00-10:00 | Using the Python interpreter, includes login |Richel
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10:00-10:15 | Break |.
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10:15-11:00 | The way of the program, includes creating and running a script|Richel
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11:00-11:15 | Break |.
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11:15-12:00 | Working with Python scripts |Richel
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12:00-13:00 | Break |.
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13:00-14:00 | Variables, expressions and statements: variables |Richel
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14:00-14:15 | Break |.
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14:15-15:00 | Variables, expressions and statements: operators |Richel
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15:00-15:15 | Break |.
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15:15-15:45 | Variables, expressions and statements: user input |Richel
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15:45-16:00 | Evaluation |Richel
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!!! tip "Course starts at 9:00 sharp and ends at 16:00"
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## Day 2: Use and install packages with pip and conda in virtual environments and doing basic analysis interactively
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!!! tip "Course starts at 9:00 sharp and ends at 16:00"
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Time | Topic |Teacher
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------------|--------------------------------|-----------------------
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09:00-10:00 | Packages | Richel
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## Day 3: Deeper analysis with pandas and seaborn, HPC usage with big data, parallelisms and Machine Learning with and without GPUs.
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!!! tip "Course starts at 9:00 sharp and ends at 16:00"
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Time | Topic |Teacher
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-----------|-----------|-----------------------
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09:00-10:00 | Pandas | ?Rebecca ?Richel

‎meeting_notes/20250124.md‎

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# Meeting 24 Jan
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## Agenda
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- Background
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- What to do differently this time
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- What goes to what days & teachers
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- Learning outcomes
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- Resources
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- How to advertise?
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- Next meeting
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- Next meeting R-matlab-julia
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## Background
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As discussed in a hurry in December when setting dates
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- New course/workhop with 4 days of python
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- **APPROX**
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- 24 Apr: [intro to Python](https://uppmax.github.io/uppmax_intro_python) 24 April
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- beginners or warm-up
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- ?the other days not recommended for complete beginners?
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- Too short of time maybe to digest?
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- Or let the users decide :+1: [name=RB] <---
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- separate registration? :+1: [name=RB]
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- Advertisement for all 4 days, learners pick on registration
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- 25 Apr packages, pandas, matplotlib
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- some higher analysis later april?
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- 28-29 Apr: slurm, parallel, big data, GPU and ML/DL/AI
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- including some analysis, like seaborn and ?
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- Is this a good way?
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- [name=RB] Yes, this is fine
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- **Proposal**
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- **1st day** with intro (similar or same as [Richel's 'NAISS Intro to Python' course on March 4th](https://uppmax.github.io/uppmax_intro_python/))
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- cluster modules: it is a NAISS course :-)
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- has a login session
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- **2nd day** will be about packages and running on a cluster + basic analysis without slurm!!
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- morning: packages, virt env
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- conda is used in many clusters
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- pip and possibly pixi?
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- ?containers. We'll decide later :+1:
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- afternoon
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- analysis without slurm(?)
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- what fits in here?
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- [VOTED] IDE's
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- [name=RB] ?Jupyter
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- [name=JY] ?Spyder
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- [name=JY] ?VScode
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- need interactive session
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- **3rd day** needs a introduction to slurm and GPUs
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- slurm, batch, interactive, on-demand
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- analysis requiring more than login resources
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- (parallel), (big data), (GPU)
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- **4th day** for the most advanced material
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- Anders Hast (InfraVis) comes as a guest teacher to talk about dimensionality reduction techniques. (or first day): must be before 'Machine learning' in the schedule, ~30-60 mins
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- Data preparation
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- (GPU), ML/DL/AI
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- ?Professional Python development, e.g. testing
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- Material, timing and interactivity
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- NAISS 'Intro to Python' --> Day 1 ≈ 1:1 relation
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- Combine
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- Python day in 4-day course
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- more packaging
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- less analysis
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- less ML
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- HPC-python in 2 days
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- less packaging
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- more IDEs
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- more analysis
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- more ML/DL
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- much common material
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- login, run, slurm, parallel, packaging
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- --> 3 days into 3 days --> more relaxed and airy!!
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- BUT: include Anders Hast as well?
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## What to do differently this time
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- Evaluation outcome
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- [Link to Björn's summary](https://github.com/UPPMAX/HPC-python/tree/main/evaluations)
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- now in github
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- more exercises
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- Reductions?
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- Put evaluation results on website, a fancy result can be found at
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[this UPPMAX course](https://uppmax.github.io/bianca_workshops/evaluations/20241111/)
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## What goes to which day? And Teachers
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- Earlier sessions from HPC-python (to be placed out)
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- intro (just first day?) [name=RB]
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- load (just first day?) [name=RB]
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- install packages (expanded) [name=BC]
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- Compute nodes [name=BB]
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- batch [name=BB]
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- interactive [name=B]
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- Desktop on demand [name=RP]
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- IDEs [name=BB]
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- matplotlib [name=RP]
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- GPU [name=BB]
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- Pandas [name=RP]
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- seaborn etc [name=RP]
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- parallel [name=PO]
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- big data and formats [name=BC]
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- Dimensionality reduction? [name=AH]
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- ML/DL [name=JY]
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- Day 1 (copied from [NAISS 'Intro to Python'](https://uppmax.github.io/uppmax_intro_python/schedule/))
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:warning: Does not include loading a module
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- BC: could we have "loading lmod module" here?
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Time | Topic
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------------|-----------------------------------------------------------------
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09:00-10:00 | Using the Python interpreter, includes login
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10:00-10:15 | Break
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10:15-11:00 | The way of the program, includes creating and running a script
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11:00-11:15 | Break
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11:15-12:00 | Working with Python scripts
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12:00-13:00 | Break
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13:00-14:00 | Variables, expressions and statements: variables
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14:00-14:15 | Break
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14:15-15:00 | Variables, expressions and statements: operators
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15:00-15:15 | Break
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15:15-15:45 | Variables, expressions and statements: user input
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15:45-16:00 | Evaluation
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- Day 2
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- [VOTED] IDEs
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Time | Topic
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------------|-----------------------------------------------------------------
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09:00-10:00 | .
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10:00-10:15 | Break
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10:15-11:00 | .
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11:00-11:15 | Break
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11:15-12:00 | .
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12:00-13:00 | Break
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13:00-14:00 | .
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14:00-14:15 | Break
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14:15-15:00 | .
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15:00-15:15 | Break
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15:15-15:45 | ?RB: Jupyter
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15:45-16:00 | Evaluation
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- Day 3
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- Day 4
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## Learning outcomes
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- Useful
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- We have most material, BUT
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- what is the amount users can learn in 3-4 days?
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- balance of
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- be confident in doing
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- many exercises
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- knowing big picture and knowing where look up details
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- showing
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- demos
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- mentioning
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- talk
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- discuss
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- link to good material for plunging into
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- BC's view: all are needed, not just one or 2
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- where to put the level in this course?
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- different in different sessions?
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- Learning Outcomes
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- learner-centered
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- make material from these!
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## Resources
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- NSC for non-users
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- as usual + dardel
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## How to advertise?
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- Each day having a name describing content?
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## How to work?
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- issues
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- meetings (how often)
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- matrix (phase out slack)
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- combination
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## ToDos
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- All:
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- Look at evaluation and think about changes
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- (LOs)
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- schedule
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- suggestions of more required time for sessions
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## Next meeting
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- [x] Fri Feb 14 11-12
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## Next meeting R-matlab-julia
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- [x] Fri 31 Jan 11-12
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---

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