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2021-08-16 DSF 1: Introduction to Python Programming (9:00-17:00)

Data Science Fundamentals 1: Get introduced into algorithmic thinking and programming with Python. Voluntary course for CAS ADS participants.

Reiter

  • Programming

    Algorithms and programming are important tools in data driven research. Python is a good scripting language widely used to make pipelines of tasks typical for large computations and analysis on large datasets. It suits the purpose of starting programming in it, as well. https://de.wikipedia.org/wiki/Python_(Programmiersprache).

    People new to programming may attend DSF 1-3. Due to the large content amount, it is for those not recommeded to attend DSF 4-5 in the same block.

    Learning outcomes - participants can/knowIntroduction into programming
  • About scripting and Python
  • Syntax
  • Variables and objects
  • Operators
  • Built-in data types and structures
  • Control flow
  • Defining and using functions
  • Strings (and regular expressions)
  • File input and output
  • Modules and packages
Target group
  • UNIBE staff members, students and potential users interested in programming.
Prerequisites
  • Participants must bring own laptops.
  • No programming experience required. This is a crash course for beginners.
  • The coaches are local or external experts
Target group
  • UNIBE staff members, students and potential users interested in programming.
Prerequisites
  • Participants must bring own laptops.
  • No programming experience required. This is a crash course for beginners.
Methods
  • The training alternates between short theoretical introductions and programming exercises.
Certificate
  • A certificate will be delivered to participants who have attended the whole training.
  • Participants attending DSF 1-3 are offered to make a project (30 hours). Upon a successful presentation 2 ECTS credit points are given.
Coaches
  • The coaches are local or external experts
Time : 2021-08-16 9:00 - 17:00
Location : Room 124, Mittelstrasse 43, University of Bern
Online Participation:

Meeting ID: 951 4213 7135
Passcode: 460128
Training language: English
Participants : Max 24
Registration : Mandatory
Coaches : Dr. Kinga Sipos (coach), PD Dr. Sigve Haug (responsible)
Prerequisites : Laptop
Certificate : Certificate for full training attendance 
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 - scits.math.unibe.ch.