BIO-645 / 2 credits

Teacher: Dayan Michaël Jérémy Pierre

Language: English

Remark: Fall 2022


Frequency

Every year

Summary

The "Introduction to Applied Data Science" (I2ADS) course is aimed at students of all levels to train them in the core computer science software stack and techniques forming the pillars of open & reproducible science. Registration in student portal & at https://tinyurl.com/i2ads2022 is compulsory.

Content

Note

Attention: Registration in your student portal as well as at https://tinyurl.com/i2ads2022 is compulsory to be able to attend the course.

While the course will be made available in hybrid mode, both physically at Campus Biotech Geneva and remotely by connecting to our dedicated computing infrastructure, physical attendance is highly recommended. Credits will only be provided for those attending live at least 80% of the lectures (remotely or physically). An official EPFL email is required to attend the course.

Questions: Contact https://people.epfl.ch/michael.dayan

Learning outcomes:  To implement in Python a data science project within a Linux environment while tracking code changes with the git version control system.

 

Keywords

Data Science; Linux; Git; Python; Machine Learning

Learning Prerequisites

Required courses

None

Recommended courses

None

In the programs

  • Exam form: Written (session free)
  • Subject examined: Introduction to Applied Data Science (I2ADS)
  • Lecture: 35 Hour(s)
  • Exercises: 35 Hour(s)

Reference week