Reiter
About this training
Jupyter notebooks for lecturers, researchers and students
Jupyter notebooks "support interactive data science and scientific computing across all programming languages. They combine markdown language, executions cells (python, bash, R etc), plotting, slideshows etc, all within your web browser. In all activitites involving data analysis or some programming they are worth a consideration. In particular as electronic notebooks for student and research labs, lecture notes and slides, and publications of the full data analysis along with the papers, Jupyter notebooks may be your choice.
en.wikipedia.org/wiki/Project_Jupyter
jupyter.org
Goal
Install and use Jupyter. Learn about usecases for labs, lectures, assessments, publications etc
Learning objectives (preliminary) - particiapants have/can
Jupyter notebooks "support interactive data science and scientific computing across all programming languages. They combine markdown language, executions cells (python, bash, R etc), plotting, slideshows etc, all within your web browser. In all activitites involving data analysis or some programming they are worth a consideration. In particular as electronic notebooks for student and research labs, lecture notes and slides, and publications of the full data analysis along with the papers, Jupyter notebooks may be your choice.
en.wikipedia.org/wiki/Project_Jupyter
jupyter.org
Goal
Install and use Jupyter. Learn about usecases for labs, lectures, assessments, publications etc
Learning objectives (preliminary) - particiapants have/can
- an overview of basic Jypyter capabilities
- can install and use basic Jupyter features
- can use jupyter notebooks for (students') lab work
- can use jupyter notebooks for lectures (RISE extensions)
- can use Jupyter notebooks for research projects
- knows different kernels (python, R, bash, HPC)
- knows how to uset he assessment extension nbgrader
- ...
- Staff, researchers, lecturers, students, data scientists.
- Participants must bring own laptops.
- Some programming experience is of advantage
- The training alternates between short introductions, discussions, instructions and hands-on exercises.
- A certificate will be delivered to participants who have attended the whole training.
- The coaches are local or external experts.
Practical information (time, location ...)
Time : 2019-01-16 13:30 - 17:00
Location : Main Building, Room 105, Hochschulstrasse 4, University of Bern
Training language: English
Participants : Max 24
Registraion : Mandatory
Coaches : PD Dr. Sigve Haug
Prerequisites : Laptop
Certificate : Certificate for full training attendance
Location : Main Building, Room 105, Hochschulstrasse 4, University of Bern
Training language: English
Participants : Max 24
Registraion : Mandatory
Coaches : PD Dr. Sigve Haug
Prerequisites : Laptop
Certificate : Certificate for full training attendance
Schedule
13:30 Introduction
13:50 Installation
14:15 Using Jupyter (tutorial and hands-on)
14:30 Student perspective (tutorial and hands-on)
15:00 Break
15:30 Lecturer perspective (tutorial and hands-on) - RISE and nbgrader extension
16:00 Researcher perspective (tutorial and hands-on)
17:00 End
13:50 Installation
14:15 Using Jupyter (tutorial and hands-on)
14:30 Student perspective (tutorial and hands-on)
15:00 Break
15:30 Lecturer perspective (tutorial and hands-on) - RISE and nbgrader extension
16:00 Researcher perspective (tutorial and hands-on)
17:00 End
About ScITS
The Science IT Support is there to boost your research by supporting you solving computing challenges.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - drop an email, call or pass by our office. Cheers, Sigve
Our wepgabe is scits.math.unibe.ch.
Your code doesn't compile, you need more computing power, more storage, a data mangament plan and
so on - drop an email, call or pass by our office. Cheers, Sigve
Our wepgabe is scits.math.unibe.ch.
